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Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC): consent

University of Bristol · Academic

In term In term in the September 2026 edition: the latest version runs to 19 February 2028.

Reference
DARS-NIC-152414-W3P6Q
Current version
v5.5
Term of current version
20 February 2026 to 19 February 2028
Start date
Before 1 January 2019
Data controller
Sole Data Controller
Commercial purposes
Yes
Sublicensing
Yes
Files released to date
774

Why the data was released

Objective for processing

The Data will be used for the purpose of the following research programme: The Avon Longitudinal Study of Parents and Children (ALSPAC)

ALSPAC, popularly known as “Children of the 90s”, is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations, ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS England).

The Data will be incorporated into a research database containing data from multiple sources on ALSPAC participants.

Approved researchers are permitted to request access to the data in the database to answer questions about health, education, social and other issues amongst the different generations - young adults, their parents and their children. These include questions relating to the impact of parental health, environmental exposures and behaviour on their children’s health and wellbeing.

ALSPAC will also work with local NHS partners to improve their services and with local communities/local authorities to help with policy and planning.

The University of Bristol must ensure that there remains a legal basis in place for the collection of education and Ministry of Justice data, and for this data to be linked to NHS England data, throughout the lifetime of this Agreement.

Sublicensing:

Data requests will be from internal University of Bristol researchers or approved sublicensees. Sublicensees will be from UK-based bona fide research organisations. This may include commercial organisations, but ALSPAC does not permit ‘for profit’ research.

Researchers are required to pass the Medical Research Council’s (MRC) GDPR training and provide a certificate to ALSPAC, or to be an ONS Accredited Researcher.

The proposal must benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties. Data access requesters are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal and are required to explain why they need each dataset.

The Data will not be used for:

- Purposes that will not benefit healthcare

- Marketing, sales or insurance purposes

The ALSPAC Executive team, its members employed by the University of Bristol, approves requests for the use of data.

The ALSPAC Executive team will assess projects against the following criteria:

- Only relevant data is (securely) shared with approved researchers.

- The NHS data request is appropriate and proportionate.

- The proposal will benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties.

- The applying researcher(s) are UK-based

- A lay summary of the project has been provided, which is required for the ALSPAC webpages.

All requests to use the data will proceed according to the following process:

(1) Application Stage: Researchers apply to ALSPAC through the Online Proposal System (OPS). They must provide details of who the researchers are, where they are based, funding, the research project and the data they will need. ALSPAC considers the project using the ‘five safes’ framework.

(2) Triage: Initial checks are made to confirm the researchers, and their organisation are bona fide. The project and data requests are reviewed by Senior Management of the relevant teams – data linkage, clinical, genetics, bio-samples, questionnaires, or if they want new data collected specifically.

Focusing on NHS data requests:

(3) Request Review: The Data Access Team at ALSPAC handle most requests for data received by ALSPAC. The Data Access Team will perform the initial triage of the people and places involved in the project. Proposals are reviewed as they come in and it is determined which can be approved, which require specialist review, and which require further information from the applicants. The team is well versed in Information Security. Strict processes are followed to ensure that:

- Only relevant data is (securely) shared with approved researchers

- The NHS data request is appropriate and proportionate.

- The proposal will benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties. Data access requesters are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal, and are required to explain why they need each dataset.

- They are UK based

- A lay summary of the project has been provided, which is required for the ALSPAC webpages.

(4) Ethics Notification: ALEC (ALSPAC Legal & Ethics Committee) are notified of NHS projects.

(5) PPIE Consultation: APPAP (ALSPAC Participant and Public Advisory Panel) and ALEC are consulted if new data collection is also involved.

(6) Approval Decision: The Executive Team take in the advice and make a final decision to approve. The Board may be involved with large or controversial projects.

(7) Agreements Signed: If the request is approved, organisations are required to sign DAAs (Data Access Agreements) and Researchers must sign DURAs (Data User Responsibilities Agreement). If the request has come from an external organisation, organisations are also required to sign a Sublicensing Agreement. Funding is confirmed and the request is invoiced.

(8) Training: Researchers must do an approved training course to access the linked data, sending in a certificate.

(9) Data Access Granted: Approved researchers are granted access to the data. NHS data is only accessible within the ALSPAC Secure Data Environment in UKSeRP) and the specific data required is built within a secure project workspace. Only de-identified data is made available to researchers for analysis. This includes such precautions as removing names, addresses, truncating dates of birth and postcodes, removal of free text fields which may inadvertently contain disclosive information and any other details that might directly identify our participants. An unprocessed ‘raw’ copy will be held by the University of Bristol on a secure server for backup but will not be available, or even visible, to researchers. Neither the raw version nor the researcher accessed version are kept on the same infrastructure as participant identifiers.

(10) Outputs Exported: As researchers cannot take data out of the UKSeRP once they’ve completed their work, they need the ALSPAC Linkage team to check their results and send them outputs they can use. To ensure that the outputs, tables and charts produced cannot identify the data-subjects they are checked to ensure that they meet ALSPAC’s confidentiality standards, including small cell count suppression and review of any text. Only aggregated outputs are allowed. The reviewed results are sent to the researcher, who can then write and publish their report.

There are several advisory committees involved in the ALSPAC approvals process. The functions and responsibilities of these are outlined below.

ALSPAC Participant and Public Advisory Panel (APPAP):

The APPAP is comprised of study participants and members of the public, with a diverse range of backgrounds and experiences. APPAP provides advice, guidance, and feedback to researchers on new proposed studies and general advice to the ALSPAC study team. It meets bi-monthly. The views of study participants and the public are central to the success of ALSPAC. Patient and Public Involvement (PPI) in research is vital to make studies more relevant, more effective and improve the quality of the research it conducts. APPAP are periodically asked for their views on data linkage as a whole, and occasionally on particular data linkage projects if new data collection is also involved.

ALSPAC Law and Ethics committee (ALEC):

The ALEC is comprised of clinicians, researchers, lawyers and study participants. It provides ethical oversight of ALSPAC as a whole and, where relevant, reviews individual proposals for new data collection. It meets bi-monthly.

ALSPAC Executive Team:

The ALSPAC executive is comprised of the CI Professor, Chief Operating Officer (COO), Executive Director (data) (EDD), Executive Director (bioresource) (EDB) and Executive Director (collection) (EDC). The CI has overall responsibility for all areas of activity in ALSPAC and is supported by the executive team in the execution of ALSPAC activities. The role of the executive is to provide effective management of ALSPAC, and it meets weekly and reports to the board.

ALSPAC Senior Management Team (SMT):

The SMT manages operational activity in ALSPAC within the following areas: administration, clinic, data, and bio samples. The SMT is led by the COO and reports to the executive. It meets weekly

ALSPAC maintains a release register which records data sharing for research, which is part of their annual NHS DSPT review. Once sublicensing is granted and projects begin to be approved under sub licencing, the ALSPAC website will be updated with this release register.

Processing activities

The University of Bristol will transfer data to NHS England. The data will consist of identifying details (specifically NHS Number, Date of Birth, Name, Postcode, Gender and a unique person ID) for the cohort to be linked with NHS England data, to link with non-health data and non NHS England health data and to allow validation of the linkages.

NHS England will provide the relevant records from the HES, deaths, cancer, demographics, mental health, maternity, CSDS, IAPT and NHSBSA datasets to the University of Bristol’s ALSPAC Data Safe Haven. The Data will contain directly identifying data items including NHS Number, Date of Birth, Name, Postcode and Gender which are required to link the Data at record level with data already held by the recipient.

After NHS England have sent the linked Data to the University of Bristol, the Data is processed in the following ways before access is granted to bone fide researchers:

Process Stage 1: Data processing in the ALSPAC Data Safe Haven

i. Assess Data & Data Linkage Quality: The data extract is compared against the agreed extract specification to ensure the content (both in terms of variables supplied and patients included) is correct. The linkage between ALSPAC participant and NHS record is quality checked using check variables (e.g. NHS ID to ALSPAC ID link is checked using date of birth and gender). The data values will be subject to logical error checks to assess if the value is consistent with the expected values (as defined in the source documentation). Inconsistent values will be recoded to missing (i.e. ALSPAC will not attempt to infer a correct value);

ii. Derivation: Derived data are created in order to assist in the de-identification of the data (e.g. Age in days at the time of a health event will be derived from Date of Birth and the event date) and to distil records extracted from multiple sources into a cohort longitudinal record (e.g. age in days will allow accurate sequences of events to be created when combining NHS England data with other data), and to assist the research process (e.g. 1) a range of read codes, hospital admissions and prescription data are used to derive an indicator to whether an individual has had any interaction with the NHS relating to/or being coded as asthma, and 2) routine records are used to inform statistical techniques, such as multiple imputation, which can address missing self-reported data). All derivation routines are applied through computer syntax, which is stored along with a documented record of the derivations;

iii. Linkage: The extract is linked to the internal ALSPAC individual ID numbers. The quality of the match is checked (see above). Linkage success or failure is assessed and documented within the data set (e.g. ALSPAC attempts to distinguish between failure to link due to a patient not seeking consultation, with failure to link due to insufficient identifiers and failure to link as the individual is resident outside of the catchment area of the data extract in question). The extract is processed to ensure it is harmonised with the ALSPAC longitudinal data set;

iv. De-Identification: The Safe Haven de-identification processes are designed to minimise the risks of disclosure through either: direct identification of an individual from a dataset (either accidentally or maliciously); through inference or through the potential of variables in combination to identify individuals; or the potential of inappropriately described outputs to identify individuals. The data are pseudonymised through removing NHS ID, name and address (where present). The extract is stored, within the Data Safe Haven, until information from it is requested for a research investigation.

v. Collation, Storage & Archiving: Copies of the data shared with researchers will be held securely within the Data Safe Haven. These will be used for audit purposes, to keep a record of research project sample selection (in order to allow follow-up assessments) and to fulfil the requirements that peer-reviewed findings are reproducible.

The identifiable data are only used for these data processing purposes, i.e., to facilitate and support research. The Identifiable data are not used in research investigations.

Process Stage 2: Participant Tracing Data

Where the data extracted from the NHS England relates to participant contact details and status (e.g. left England and Wales, fact of death) the members of Data Safe Haven staff will swap the ID used to extract the data for ALSPACs internal system ID and will then pass the information to the ALSPAC team whose role it is to maintain communications and relationships with participants. Neither NHS IDs or clinical data (beyond ‘alive/deceased’ status) will be provided to this team. The details are then used to update ALSPACs administrative database. These details are not provided to researchers, although address information is used to derive spatial identifiers and other values which are used in some research projects in a non-disclosive form.

ALSPAC will use an MRC Farr Institute ‘UK Secure eResearch Platform (UKSeRP) as a ‘secure research environment’ to combine records from different sources and to manage access to effectively anonymous sub-sets of combined records to specific researchers at a project level. UKSeRP is the technological infrastructure which supports the SAIL databank of Welsh routine health and administrative records. UKSeRP was developed by the Welsh MRC Farr Institute and is operated by two organisations: Digital Health and Care Wales (DHCW) and the University of Swansea Health Informatics Research Unit (HIRU). HIRU, through the MRC Farr Institute are making the UKSeRP infrastructure available to other research organisations. This means ALSPAC can make use of the full advantages of the secure research infrastructure developed to support SAIL by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea will be Data Processor working to instruction from the University of Bristol who will be Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS England). UKSeRP has ISO27001 certification. This principle has been previously agreed as suitable for hosting linked NHS England records.

Process Stage 3: Linking ALSPAC participants to the UKSeRP

(this stage has already taken place and will not need repeating).

UKSeRP operates on a ‘split file’ approach to handling data; where identifiers are handled separately from clinical or individual attribute data. Identifiers are processed by DHCW (within the confines of the NHS); where they are processed by an algorithm which consistently converts incoming identifiers (e.g. NHS ID, name, date of birth) into an encrypted ‘Anonymous Linkage Field’ (ALF). In this way identifiers relating to the same person coming from multiple sources can be linked to the same ALF.

ALSPAC have already sent the identifiers to DHCW along with an externally meaningless ID number (KEY ID). DHCW have used the identifiers to create ALF IDs for ALSPAC participants. This is managed in such a way that 1) neither ALSPAC nor HIRU (who manage clinical data) are able to trace back ALF to a person’s identity and 2) ALSPAC are able to send clinical and other attribute data linked to KEY ID into the system which can then be automatically replaced with ALF in a ‘black box’ process.

Process Stage 4a & 4b: Sending NHS England and ALSPAC data from ALSPAC into the UKSeRP

ALSPAC research staff will replace the IDS on the de-identified data from the ALSPAC resource with the Key ID. The data will then be securely sent (using AES-256bit encryption) into the ALSPAC UKSeRP via the automated ‘gateway’ upload appliance.

ALSPAC data safe haven staff will also conduct the same process on the de-identified (see Stage 1) NHS data. The NHS data will then be securely sent (using AES-256bit encryption) with Key ID into the ALSPAC UKSeRP via the automated ‘gateway’ upload appliance.

Process stage 5:

The UKSeRP automated gateway system automatically replaces Key ID on incoming data with ALF ID (yet the system has no access to identifiers of the individuals used to produce ALF as these never leave the NWIS trusted third party). The data are then deposited in the ALSPAC UKSeRP. Meaning the ALSPAC staff have no means of linking ALF back to the ALSPAC databases yet can use ALF to join records coming in from different sources or at different times (e.g. longitudinal updates).

Process Stage 6: Sub-setting and further anonymization of data prior to analysis

The researchers with approval to access the ALSPAC HES and MHSDS data will be created project specific ‘containers’ in UKSeRP that they can access. ALSPAC Data Safe Haven staff will sub-set the extracted data to minimise it to only the information needed to conduct the project investigation. Each project data set will be given its own unique ID. The researchers will not have access to the ALSPAC administrative database and therefore – given the technological, contractual, training and data management steps involved – the data can be considered to meet the Information Commissioner’s Office ‘effectively anonymous’ requirements (as defined in the ICO Anonymisation Code Of Practice – a separate document is included describing how University of Bristol's process meets the ICO requirements).

Project specific datasets are risk assessed and disclosure control is applied as deemed appropriate. Further disclosure control ranges from suppression of rare values and outliers to a state where the possibility of disclosure is rendered so challenging that the data can be considered as being effectively anonymised in line with the HSCIC Anonymisation Standard for the publication of Health and social Care Data. Case selections will be assessed for risks of disclosure through inference (e.g. where a sample selection is made on the basis of a health condition), where this is a risk the Safe Haven staff will add control or masking cases.

The ALF used in the hypothesis specific dataset will undergo secondary encryption (reversible by ALSPAC) using an algorithm specific to each project. This means that a researcher with multiple project will not be able to join data across the different datasets using ALF.

The ALSPAC Data Linkage Research Database will continue to be run and maintained within a Secure Research Environment (SRE). The steps used by ALSPAC to link to participants’ third-party data, once the data linkage is agreed between the parties and a formal Data Sharing Agreement is signed are described below:

1. ALSPAC agrees minimal participant identifiers (demographics) and formatting with the third party (data provider). This minimises the chance of missing matched records. A unique study ID is generated for each participant. Note: some of these identifiers will have been obtained under s251 support and so will require the ongoing support of HRA CAG.

2. ALSPAC demographic data is encrypted to AES-256 standard, and password protected.

3. ALSPAC data is sent via a Secure File Transfer (SFT) protocol. The password is sent through an independent channel.

4. The third party combines the ALSPAC dataset together with their own demographic information.

5. The third party identifies individuals common to both datasets. Participant demographics are no longer required and are dropped at this stage.

6. The records of only the matched individuals are extracted from the third party’s database. All agreed data items are extracted. Individual participants are indicated by only their study IDs.

7. The third-party data is encrypted to AES-256 standard and protected with a new password (a mirror of stage 2, above).

8. The third-party data is sent via a Secure File Transfer (SFT) protocol. The password is sent through an independent channel (a mirror of stage 3, above).

9. The raw third-party records are initially integrated into ALSPAC using the Study IDs.

10. The data is lightly processed to minimise any risk of participant re-identification.

11. The de-identified data is ingested into ALSPAC’s SRE in UKSeRP.

12. Researchers can request data items from these third-party datasets, relevant to their project, and perform analyses within the SRE.

The ALSPAC Data Linkage Team are responsible for sourcing and managing data from third-party sources. They work closely with the Data Access Team to approve, cost, and generate the datasets so researchers can securely and appropriately access linked ALSPAC data, within a safe environment.

Process Stage 9: Researcher access to data

Researchers are all contracted to University of Bristol. They will only be able to access the sub-partition(s) of the ALSPAC UKSeRP where their project specific data set is located. The UKSeRP technology restricts the actions that researchers can take, for example, it is not possible to plug in a USB stick, or to copy and paste or to connect from within UKSeRP to the internet. These restrictions – in conjunction with the training and binding agreements the researchers enter into – ensure good governance is maintained. Furthermore, the anonymization processes undertake (stages 3 and 6) are sufficient to reduce the risks of participant identifiably to a point that they are so remote that the data can be appropriately treated as effectively anonymous.

Researchers are allowed to remove data outputs (e.g., statistical findings, graphs, tables of aggregated findings) from UKSeRP through a controlled process where each output is reviewed and assessed for disclosure risk by ALSPAC Data Safe Haven staff prior to being released. ALSPACs Data Access policies require that researchers submit all publications, prior to submission for publication, to the ALSPAC Executive. The Executive Committee assess the publications for issues including checks for potential disclosure risks (e.g., tables summarising statistical outputs containing small cell counts). Disclosure checks will ensure compliance with the small number suppression rules contained within the NHS Analysis Guide.

Information Security: ALSPAC are committed to maintain high standards of information security and recognise that this is a key component of the trust relationship with participants and data owners alike. To achieve these standards ALSPAC have developed an Information Security Management System and associated management and governance structure that has been certified as meeting the ISO/IEC 27001:2022 Information Security standard. ALSAPC annually submit an NHS DSP Toolkit assessment.

The Data will be stored on the ALSPAC Data Safe Haven at the University of Bristol and UK Secure eResearch Platform (UKSeRP)

The Data will be accessed by authorised personnel via remote access.

The Controller(s) must confirm and provide evidence upon audit by NHS England that access via any remote device complies with the data security obligations within this DSA and the Data Sharing Framework Contract.

For remote access:

- Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA;

- Access controls granting users the minimum level of access required are in place;

- Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data;

- Multifactor authentication (MFA) is required for remote access;

- Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access;

- All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy.

The above applies in addition to any condition set out elsewhere within the DSA (e.g. who may carry out processing, and for what purpose)

Remote processing will be from secure locations within the UK. The data will not leave the UK at any time.

Access is restricted to employees of the University of Bristol who have authorisation from the Principal Investigator, and approved sublicensees.

Data will be accessed by individuals with an honorary contract with the University of Bristol. The individuals will act as an agent of the University of Bristol at all times under supervision from employees of the University of Bristol. Aside from these individuals, access is restricted to employees or agents of the University of Bristol who have authorisation from the Principal Investigator or Executive of ALSPAC.

Employees of other organisations under sublicence are permitted to access pseudonymised data only.

All personnel accessing the Data have been appropriately trained in data protection and confidentiality.

The Data will be linked at person record level with the following data:

Health Data:

- Optum – Primary Care

- BadgerNet (SystemC) – Maternity Data (currently supported but not yet realised)

- STORK – Maternity Data

- Local datasets from NHS trusts – such as AvonCAP, Bristol Self Harm Register, HeartSuite, AWP (MH) and Local and National health registers containing ALSPAC participants

- UKHSA and other Department of Health & Social Care agencies and bodies – National datasets and registers containing ALSPAC participants

- Other commercial organisations which provide software and data management services across the NHS, and which contain datasets and registers including ALSPAC participants.

Non-health Data:

- Department for Education – Key Stage data (1-5), school absences and exclusions. Also, Higher Education and Further Education (already held for G1, will request data for G2 in future).

- Ministry of Justice – National justice data; this will include crimes (cautions, convictions), and information about status as a suspect or a victim of crime (application pending).

- Avon & Somerset Police – Local crime data; relating to crimes (including information about cautions and convictions, suspect or victim) in the local area to Bristol (already held for G1, will request data for G2 in future).

- Geodata – Local and National data on the community and environment (some already held, based on address histories of participants).

- Project specific data provided by researchers – this will be linked into the ALSPAC datasets by ALSPAC staff in a manner preserving confidentiality.

The identifying details will be stored in a separate database to the linked dataset used for analysis. All analyses will use the pseudonymised dataset. There will be no requirement and no attempt to reidentify individuals when using the pseudonymised dataset.

The University of Bristol will ensure that an appropriate legal basis for the processing, and linkage of the datasets listed above is established and maintained. The University of Bristol will also ensure that all necessary local governance approvals and agreements are in place prior to undertaking any such data collection or linkage activities.

The Data will be stored on a secure encapsulated virtual machine called the Data Safe Haven located at the University of Bristol. The Data Safe Haven is kept separately from the ALSPAC administrative database which contains participant identifiers. The Data Safe Haven design has been adopted to restrict access to identifiable data used for secondary purposes and to support the de-identification of the data prior to the bulk of the data uses.

The ALSPAC Data Safe Haven was designed in accordance with NHS policy. Incoming, identifiable, data is stored in an encrypted format on encrypted and firewalled demarcated server space. Access to this server space is restricted to the Data Safe Haven team (by user access controls and access is only permitted from a small number of desktop computers based in secure offices at the University of Bristol). On entry to the Data Safe Haven a copy of the data is archived.

Researchers from the University of Bristol and approved sublicensees will analyse the Data for the purposes described above.

Expected output

The expected outputs of the processing will be:

- Submissions to peer reviewed journals

- Presentations at appropriate conferences

The outputs will not contain NHS England Data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.

The outputs will be communicated to relevant recipients through the following dissemination channels:

- Journals

- Workshops

- Conferences

- Newsletters aimed at participants (both print and via social media)

- Local and national press/media engagement. ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations. The participants will be informed of the outputs through University of Bristol's press-release system.

- Social media: Twitter/X posts and Facebook articles

- Work with local attractions, such as the MSHED museum of Bristol Life

Outputs will be produced and disseminated on an ongoing basis. Some early outputs include the following journal submissions:

- Preliminary work from the “Investigating the accuracy of current estimates of self-harm” study has been published in Archives of Suicide Research and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce. The academic lead for STITCH (“Improving Care in Self-Harm”) is the PI of this project and will feed back relevant findings into NHS and Public health strategy.

- Maternal smoking during pregnancy and intellectual disability'

- A Population-Based Cohort Study Examining the Incidence and Impact of Psychotic Experiences from Childhood to Adulthood, and Prediction of Psychotic Disorder

- Continence Problems and Mental Health in Adolescents from a UK Cohort

- Child maltreatment and parental domestic violence and abuse, co-occurrence and the effect on lifetime outcomes in the Avon Longitudinal Study of Parents and Children (ALSPAC)

- Mapping neurodevelopmental trajectories: A focus on autism with comparisons to psychosis

ALSPAC anticipates more outputs as projects mature, and new projects start.

Expected measurable benefits

The ALSPAC investigations each have defined primary objectives to improve the understanding amongst some of the most concerning and prevalent areas of health; e.g., those relating to depression, psychosis, self-harm and suicide and substance use. Through this innovative use of a cohort study of adolescents linked to health records ALSPAC can study exposure/outcome associations in marginalised groups (i.e., those in need/in care and those suffering from mental health conditions). Secondary objectives relate to a better understanding of self-reported measurement error which will be used to inform interpretation of evidence emerging from longitudinal research studies and therefore improve the accuracy of evidence informing health and social care policy development.

ALSPAC is in the unique position of being able to use the NHS data in the research database in combination with other longitudinal datasets. The ALSPAC Research Database will integrate linked, third-party, administrative data from several sources, primarily NHS England, with its own data collected directly from participants. These directly collected data (Study Data, Clinical Data and Biological Samples) are described here for context because most projects request a combination of linked NHS data and ALSPAC data. Researchers using ALSPAC - NHS health data in the database are doing so for a medical purpose, as required by the NHS Act (2006, s251), which includes medical research. All researchers requesting access to ALSPAC - NHS data are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal.

The use of the data could:

- help the system to better understand the health and care needs of populations.

- lead to the identification or improvement of treatments or interventions, or health and care system design to improve health and care outcomes or experience.

- advance understanding of regional and national trends in health and social care needs.

- advance understanding of the need for, or effectiveness of, preventative health and care measures for particular populations or conditions such as obesity and diabetes.

- inform planning health services and programmes, for example to improve equity of access, experience and outcomes.

- support knowledge creation or exploratory research (and the innovations and developments that might result from that exploratory work).

The participants themselves do not expect to benefit directly or immediately from the research. The participants take part for altruistic reasons and understand that ALSPAC research is intended to contribute to improving the health and care of the wider community as a whole.

ALSPAC is an internationally recognised research database, and over 3,000 publications have made use of ALSPAC data. Allowing non-ALSPAC researchers the ability to access ALSPAC NHS data will enable many more projects to proceed than ALSPAC alone could manage, and will enable experts from outside ALSPAC to conduct research using the full data available from our database. There are many experts outside ALSPAC who will be able to conduct their research using ALSPAC data and who will have the ability to influence public health beyond the capabilities of ALSPAC alone.

ALSPAC has a good relationship with local media and regularly update their own webpages and social media. Staff from ALSPAC attend, and often contribute to, conferences in the UK and beyond, and all research is published through peer-reviewed outlets, to enable the research findings to reach a wide audience.

Benefits reported so far

ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way, it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS England Data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’).

A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

Datasets on the current version

Legal basis for provision: Health and Social Care Act 2012 – s261(2)(c)

Datasets approved under DARS-NIC-152414-W3P6Q-v5.5
DatasetType of dataSensitivity FrequencyConfidential data
Cancer Registration Data Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Civil Registrations of Death Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Community Services Data Set (CSDS) Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Demographics Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Emergency Care Data Set (ECDS) Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Hospital Episode Statistics Accident and Emergency (HES A and E) Identifiable Non-Sensitive One-Off Consent (Reasonable Expectation)
Hospital Episode Statistics Admitted Patient Care (HES APC) Identifiable Non-Sensitive Ongoing Consent (Reasonable Expectation)
Hospital Episode Statistics Critical Care (HES Critical Care) Identifiable Non-Sensitive Ongoing Consent (Reasonable Expectation)
Hospital Episode Statistics Outpatients (HES OP) Identifiable Non-Sensitive Ongoing Consent (Reasonable Expectation)
Improving Access to Psychological Therapies (IAPT) v1.5 Identifiable Sensitive One-Off Consent (Reasonable Expectation)
Improving Access to Psychological Therapies (IAPT) v2 Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Maternity Services Data Set (MSDS) v1.5 Identifiable Sensitive One-Off Consent (Reasonable Expectation)
Maternity Services Data Set (MSDS) v2 Identifiable Non-Sensitive Ongoing Consent (Reasonable Expectation)
Medicines dispensed in Primary Care (NHSBSA data) Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
Mental Health and Learning Disabilities Data Set (MHLDDS) Identifiable Non-Sensitive One-Off Consent (Reasonable Expectation)
Mental Health Minimum Data Set (MHMDS) Identifiable Sensitive One-Off Consent (Reasonable Expectation)
Mental Health Services Data Set (MHSDS) Identifiable Sensitive Ongoing Consent (Reasonable Expectation)
MRIS - Cohort Event Notification Report Identifiable Sensitive One-Off Consent (Reasonable Expectation)
MRIS - Flagging Current Status Report Identifiable Sensitive One-Off Consent (Reasonable Expectation)

Files released

Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.

This agreement permits sublicensing: the applicant may pass data on to others. Anything passed on is not recorded in this register.

Patient opt-outs were applied to 357 of the 774 files released under this agreement, across every version. About opt-outs

Files released against version 5.5 of this agreement, summarised by dataset.

Files released under DARS-NIC-152414-W3P6Q-v5.5
DatasetFilesFirst releasedLast releasedOpt-outs applied
Community Services Data Set (CSDS)88 May 2026July 2026No
Maternity Services Data Set (MSDS) v277 August 2026August 2026No
Improving Access to Psychological Therapies (IAPT) v1.544 May 2026May 2026No
Improving Access to Psychological Therapies (IAPT) v235 May 2026May 2026No
Emergency Care Data Set (ECDS)2 March 2026March 2026No
Hospital Episode Statistics Admitted Patient Care (HES APC)2 March 2026March 2026No
Hospital Episode Statistics Outpatients (HES OP)2 March 2026March 2026No
Cancer Registration Data1 March 2026March 2026No
Civil Registrations of Death1 March 2026March 2026No
Demographics1 March 2026March 2026No
Medicines dispensed in Primary Care (NHSBSA data)1 March 2026March 2026No

Version history

The register lists each renewal of this agreement as a separate row. This site has 5 versions — earlier versions existed before this site's records begin.

DARS-NIC-152414-W3P6Q-v5.5 20 February 2026 to 19 February 2028
Title
Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC): consent
Commercial
Yes
Sublicensing
Yes
Datasets
19
Files released
254

Datasets: Cancer Registration Data; Civil Registrations of Death; Community Services Data Set (CSDS); Demographics; Emergency Care Data Set (ECDS); Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Improving Access to Psychological Therapies (IAPT) v1.5; Improving Access to Psychological Therapies (IAPT) v2; Maternity Services Data Set (MSDS) v1.5; Maternity Services Data Set (MSDS) v2; Medicines dispensed in Primary Care (NHSBSA data); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report

What changed from DARS-NIC-152414-W3P6Q-v4.2

Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.

Fields changed from DARS-NIC-152414-W3P6Q-v4.2
FieldWasBecame
TitleContinuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC)Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC): consent
Start date2024-05-242026-02-20
End date2027-05-232028-02-19
SublicensingNoYes
Commercial purposesNoYes
Cancer Registration Data: legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Cancer Registration Data: common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Civil Registrations of Death: legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Civil Registrations of Death: common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Demographics: legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Demographics: common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Emergency Care Data Set (ECDS): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Emergency Care Data Set (ECDS): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Hospital Episode Statistics Accident and Emergency (HES A and E): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Accident and Emergency (HES A and E): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Hospital Episode Statistics Admitted Patient Care (HES APC): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Admitted Patient Care (HES APC): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Hospital Episode Statistics Critical Care (HES Critical Care): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Critical Care (HES Critical Care): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Hospital Episode Statistics Outpatients (HES OP): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Outpatients (HES OP): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
MRIS - Cohort Event Notification Report: legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
MRIS - Cohort Event Notification Report: common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
MRIS - Flagging Current Status Report: legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
MRIS - Flagging Current Status Report: common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Mental Health Minimum Data Set (MHMDS): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Mental Health Minimum Data Set (MHMDS): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Mental Health Services Data Set (MHSDS): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Mental Health Services Data Set (MHSDS): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)
Mental Health and Learning Disabilities Data Set (MHLDDS): legal basisHealth and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)Health and Social Care Act 2012 – s261(2)(c)
Mental Health and Learning Disabilities Data Set (MHLDDS): common law duty of confidentialityMixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006Consent (Reasonable Expectation)

Datasets: + Community Services Data Set (CSDS); + Improving Access to Psychological Therapies (IAPT) v2; + Improving Access to Psychological Therapies Data Set_v1.5; + MSDS (Maternity Services Data Set) v1.5; + MSDS (Maternity Services Data Set) v2.0; + Medicines dispensed in Primary Care (NHSBSA data)

Objective for processing

ALSPAC is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS Digital). ALSPAC is part of the Population Health Science group within the Bristol Medical School at the University of Bristol. Over £100m has been invested into ALSPAC by UK funding councils, charities (e.g. Wellcome Trust, British Heart Foundation, Asthma UK, Cancer UK), the NHS NHIR and directly from UK Government Departments. ALSPACs primary funding comes from the Wellcome Trust, The Medical Research Council and the University of Bristol. The Data will be used for the purpose of the following research programme: The Avon Longitudinal Study of Parents and Children (ALSPAC) The study seeks approval to link to, extract and use NHS Digital data (Flagging and Tracing, HES and MHSDS) to inform a set of specific research investigations (listed below). These are specific questions – that require linked data - that have arisen from existing work, are led by University of Bristol investigators and are tied to health service improvements (as described later in the application). ALSPAC, popularly known as “Children of the 90s”, is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations, ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS England). The Avon Longitudinal Study of Parents And their Children (ALSPAC), popularly known as “Children of the 90s”, The Data will be incorporated into a research database containing data from multiple sources on ALSPAC participants. enrolled pregnant women in the early 1990s into a study which has followed the health and development of the Approved researchers are permitted to request access to the data in the database to answer questions about health, education, social and other issues amongst the different generations - young adults, their parents and their children. These include questions relating to the impact of parental health, environmental exposures and behaviour on their children’s health and wellbeing. resulting children and their parents/carers for nearly twenty years. These children are now adults.  ALSPAC will work to continue to collect data from the young people and their parents, as well as seeking to extend enrollment to the offspring of the study children: the third generation of the ALSPAC cohort. ALSPAC will also work with local NHS partners to improve their services and with local communities/local authorities to help with policy and planning. This DSA is supported by Section 251 (s251) support for other participants. The University of Bristol must ensure that there remains a legal basis in place for the collection of education and Ministry of Justice data, and for this data to be linked to NHS England data, throughout the lifetime of this Agreement. When reviewing the application for s251 the Health Research Authority’s Confidentiality Advisory Committee (CAG) recommended that the conditions attached to the support should differ depending on the sensitivity of the data in question. Health data (which are all considered sensitive within the Data Protection Act) were considered to be either ‘sensitive’ or having ‘particular sensitivity’. It was considered that health records relating to Mental Health, Sexual Health and termination of pregnancy should all be considered as being particularly sensitive. This means the s251 legal basis differs between records of standard sensitivity (e.g. A&E admission for a broken bone) and those with particular sensitivity (e.g. admission for psychiatric disorder). The ‘primary application’ provides support to access and use all records with a standard sensitivity. Sublicensing: Primary application reference: ECC 1-05(b)/2012 – ALSPAC Study Young Adults: Enrolment and Consent for Record Linkage (Lead: Macleod); Data requests will be from internal University of Bristol researchers or approved sublicensees. Sublicensees will be from UK-based bona fide research organisations. This may include commercial organisations, but ALSPAC does not permit ‘for profit’ research. The s251 support from this primary application is conditional on the particularly sensitive records being excluded from the extraction (e.g. those relating to mental or sexual health conditions cannot be extracted). However, this condition can be overridden by subsequent supporting applications, which justify at a project level the case for ALSPAC to access particularly sensitive records. Within each of these applications the researchers request support to extract and use a range of particularly sensitive records. ALSPAC have received s251 support for five of these supporting applications. Researchers are required to pass the Medical Research Council’s (MRC) GDPR training and provide a certificate to ALSPAC, or to be an ONS Accredited Researcher. Supporting applications: The proposal must benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties. Data access requesters are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal and are required to explain why they need each dataset. CAG 7-06(a)/2013 – Accuracy of estimates for selfharm The Data will not be used for: 14/CAG/1032 – Association between IQ and selfharm - Purposes that will not benefit healthcare 15/CAG/0175 – Early life causes of depression and anxiety - Marketing, sales or insurance purposes 15/CAG/0176 – Predictors, prevalence and impact of chlamydia The ALSPAC Executive team, its members employed by the University of Bristol, approves requests for the use of data. 15/CAG/0177 – Substance use and mental health The ALSPAC Executive team will assess projects against the following criteria: To accommodate the filtering needed for s251 cases (both to remove certain particularly sensitive records and national patient objectors) the ‘pipelines’ have been split in the flow diagram and narrative description between MR1048a: consent (applied for under a separate agreement), and, MR1048b: s251. - Only relevant data is (securely) shared with approved researchers. ALSPAC participants are free to object to the studies use of their records in this way at any time. Records of objections are stored in the central ALSPAC database. ALSPAC will ensure that objectors wishes are upheld and they will not be included in the list of MR1048b participants for whom records are requested. - The NHS data request is appropriate and proportionate. ALSPAC received flagging and tracing extracts for many years. Also, in 2013, ALSPAC received an extract of HES records for ~3,000 consented index children . This extract was envisaged to be a technical pilot and to investigate exemplar hypotheses. - The proposal will benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties. ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS Digital data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); through clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’). - The applying researcher(s) are UK-based A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death. - A lay summary of the project has been provided, which is required for the ALSPAC webpages. Specific purposes All requests to use the data will proceed according to the following process: Linked health record extracts are requested to inform investigations into the following 10 questions: (1) Application Stage: Researchers apply to ALSPAC through the Online Proposal System (OPS). They must provide details of who the researchers are, where they are based, funding, the research project and the data they will need. ALSPAC considers the project using the ‘five safes’ framework. 1. The effect of substance use in adolescence on mental health (see HRA CAG 15/CAG/0177) (2) Triage: Initial checks are made to confirm the researchers, and their organisation are bona fide. The project and data requests are reviewed by Senior Management of the relevant teams – data linkage, clinical, genetics, bio-samples, questionnaires, or if they want new data collected specifically. Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff). Focusing on NHS data requests: HES and MHSDS data will be used, along with GP data, to investigate the association between mental health outcomes in young people and substance use in adolescence. ALSPAC will consider the use of three of the most widely used substances (alcohol, cannabis and tobacco), and their association with a diagnosis of a mental or psychological disorder in general, and specifically a clinical diagnosis of mood disorder (e.g. depression), anxiety or psychotic disorder (e.g. schizophrenia). ALSPAC collected data will provide information on substance use exposure and NHS Digital and GP data will provide objective assessments of mental health outcomes. NHS Digital and GP data may be used (where possible) to assess reporting accuracy within the self-reported data and to inform strategies to deal with missing data. This research will improve understanding of the risks of substance use, and the patterns of health service use for young people with mental health problems. (3) Request Review: The Data Access Team at ALSPAC handle most requests for data received by ALSPAC. The Data Access Team will perform the initial triage of the people and places involved in the project. Proposals are reviewed as they come in and it is determined which can be approved, which require specialist review, and which require further information from the applicants. The team is well versed in Information Security. Strict processes are followed to ensure that: 2. Chlamydia testing, infection, and sequelae in young people (see HRA CAG 15/CAG/0176) - Only relevant data is (securely) shared with approved researchers Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care. - The NHS data request is appropriate and proportionate. ALSPAC will use HES data, along with GP records, to examine which factors influence Chlamydia testing, infection, and sequelae in young people. HES records will be used in the identification of pelvic inflammatory disease, ectopic pregnancy and reduced fertility amongst female ALSPAC participants with different evidence of exposure to Chlamydia (only negative tests, any positive tests, no evidence of testing). Reduced fertility will also be considered for male participants. - The proposal will benefit healthcare. Researchers approaching ALSPAC to use health (NHS) data in the database are doing so for a medical purpose, which includes medical researchers requesting NHS data from ALSPAC, as per the DSA in place between the parties. Data access requesters are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal, and are required to explain why they need each dataset. 3. Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response (covered by CAG ECC 1-05(b)/2012) - They are UK based Investigators: Data Linkage and Information Security Manager, Senior Research Associate, Research Associate in Statistics/Epidemiology and Data Manager (PEARL) (all full University of Bristol employees) - A lay summary of the project has been provided, which is required for the ALSPAC webpages. ALSPAC will investigate and describe 1) the reliability and validity of self-reported hospital admissions and those recorded in HES and MHSDS and 2) assess if individuals with adverse health status profiles are more likely to be missing from study follow-up assessments. This is methodological work which will support interpretation of ALSPAC data in other research projects (including the studies listed in this application) and also to support wider understanding and interpretation of bias in self-reported health status (e.g. in the NHS Survey of Mental Health and Wellbeing). This is increasingly important as ‘Big Data’ approaches in contemporary Data Science are being used to inform health policy development through the analysis of combined study data and routine records. (4) Ethics Notification: ALEC (ALSPAC Legal & Ethics Committee) are notified of NHS projects. 4. Investigating the accuracy of current estimates of self-harm (See HRA CAG 7-06(a)/2013) (5) PPIE Consultation: APPAP (ALSPAC Participant and Public Advisory Panel) and ALEC are consulted if new data collection is also involved. Investigators: Professor of Epidemiology, Research Fellow, Senior Research Fellow (all full University of Bristol employees) (6) Approval Decision: The Executive Team take in the advice and make a final decision to approve. The Board may be involved with large or controversial projects. ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported self-harm in the community (exploring the impact of non-response bias and mis-reporting) b) the long-term risk of hospital admission for self-harm in those self-harming in the community. This information is of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice. (7) Agreements Signed: If the request is approved, organisations are required to sign DAAs (Data Access Agreements) and Researchers must sign DURAs (Data User Responsibilities Agreement). If the request has come from an external organisation, organisations are also required to sign a Sublicensing Agreement. Funding is confirmed and the request is invoiced. 5. Early life causes of adolescent depression and anxiety (See HRA CAG 15/CAG/0175) (8) Training: Researchers must do an approved training course to access the linked data, sending in a certificate. Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff) (9) Data Access Granted: Approved researchers are granted access to the data. NHS data is only accessible within the ALSPAC Secure Data Environment in UKSeRP) and the specific data required is built within a secure project workspace. Only de-identified data is made available to researchers for analysis. This includes such precautions as removing names, addresses, truncating dates of birth and postcodes, removal of free text fields which may inadvertently contain disclosive information and any other details that might directly identify our participants. An unprocessed ‘raw’ copy will be held by the University of Bristol on a secure server for backup but will not be available, or even visible, to researchers. Neither the raw version nor the researcher accessed version are kept on the same infrastructure as participant identifiers. The main research objective is to obtain accurate estimates of the association between maternal smoking and binge drinking during pregnancy and depression and anxiety in late adolescence and to investigate how (a) nonresponse and (b) misreporting in questionnaires affects estimates of this association. GP data will be used to provide depression and anxiety data for those individuals for whom University of Bristol do not have self-reported information (just over 65% of the cohort). The secondary objective is to obtain accurate estimates of the prevalence of depression and anxiety in late adolescence. (10) Outputs Exported: As researchers cannot take data out of the UKSeRP once they’ve completed their work, they need the ALSPAC Linkage team to check their results and send them outputs they can use. To ensure that the outputs, tables and charts produced cannot identify the data-subjects they are checked to ensure that they meet ALSPAC’s confidentiality standards, including small cell count suppression and review of any text. Only aggregated outputs are allowed. The reviewed results are sent to the researcher, who can then write and publish their report. 6. Investigating the association between IQ and self-harm (see HRA CAG 14/CAG/1032). There are several advisory committees involved in the ALSPAC approvals process. The functions and responsibilities of these are outlined below. Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff) ALSPAC Participant and Public Advisory Panel (APPAP): The main research objective is to obtain a more accurate estimate of the association between IQ and suicidal and non-suicidal Self-harm among adolescents and to investigate how (a) nonresponse and (b) underreporting in questionnaires affects estimates of this association. GP, hospital admissions and A&E data will be used to provide self-harm data for those for whom self-reported information is unavailable. The GP and hospital data will also be used to correct for any underreporting. The secondary research objective is to examine the extent to which adolescents seek GP help for self-harm and suicidal feelings. The APPAP is comprised of study participants and members of the public, with a diverse range of backgrounds and experiences. APPAP provides advice, guidance, and feedback to researchers on new proposed studies and general advice to the ALSPAC study team. It meets bi-monthly. The views of study participants and the public are central to the success of ALSPAC. Patient and Public Involvement (PPI) in research is vital to make studies more relevant, more effective and improve the quality of the research it conducts. APPAP are periodically asked for their views on data linkage as a whole, and occasionally on particular data linkage projects if new data collection is also involved. 7. Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records (supported by ECC 1-05(b)/2012) ALSPAC Law and Ethics committee (ALEC): Investigators: Senior Research Associate, Data Linkage and Information Security Manager, Professor in Clinical Epidemiology and Primary Care, Professor of Paediatric Respiratory Medicine, Research Fellow (all University of Bristol contracted staff). The ALEC is comprised of clinicians, researchers, lawyers and study participants. It provides ethical oversight of ALSPAC as a whole and, where relevant, reviews individual proposals for new data collection. It meets bi-monthly. ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported asthma in the community (exploring the impact of non-response bias and mis-reporting) and b) to calculate the extent of asthma severity from recorded hospital attendance/admissions as well as primary care emergency visits and treatment steps. There is concern that asthma may be socially patterned and that it is known that key exposure and confounders collected through observational studies certainly are. Therefore the concern is that assumptions made about the associations and confounding structures of relationships between environmental exposures and asthma outcomes may not be valid. Insights into the accuracy of ALSPAC self-reported and study clinic assessed asthma and the severity of asthmas will support the investigations into the genetic and environmental influences of asthma and current work into the impact of traffic pollution on asthma. ALSPAC will investigate i) the natural history of early wheeze in relation to later asthma outcomes; 2) the relationships between early wheezing and later clinical records to determine if a ‘severe asthma’ profile can be detected in early childhood; 3) compare the impact of smoking and biomarker data from ALSPAC and respiratory function; 4) investigate the relationships between childhood infections and wheezing phenotypes with asthma and lung function in later childhood. This may help confirm an association (identified elsewhere between early respiratory infection and decreased lung-function during childhood that may be antecedent to adult respiratory morbidity and possibly mortality; and, 5) investigate the relationships between treatment for asthmas in primary care, adherence to treatment and outcomes of asthma and lung function in later childhood and early adulthood. ALSPAC Executive Team: 8. Antecedent factors predictive of later ear disease (covered by CAG ECC 1-05(b)/2012) The ALSPAC executive is comprised of the CI Professor, Chief Operating Officer (COO), Executive Director (data) (EDD), Executive Director (bioresource) (EDB) and Executive Director (collection) (EDC). The CI has overall responsibility for all areas of activity in ALSPAC and is supported by the executive team in the execution of ALSPAC activities. The role of the executive is to provide effective management of ALSPAC, and it meets weekly and reports to the board. Project: Serious ear disease in later childhood and adulthood is distressing and burdensome on those effected and incurs treatment costs on the NHS. This project will investigate whether early signs of ear disease identified in ALSPAC at age 9 (categorised from photographs of the ear drum) are predictive of the development of serious ear disease requiring hospital treatment in later childhood and adulthood (as identified through HES). ALSPAC Senior Management Team (SMT): 9. Parental and child alcohol use and later child criminality and injury outcomes (covered by CAG ECC 1-05(b)/2012) The SMT manages operational activity in ALSPAC within the following areas: administration, clinic, data, and bio samples. The SMT is led by the COO and reports to the executive. It meets weekly The impact of parental and child alcohol use on child health and education is unclear, and have possible societal and service provider costs. ALSPAC has multi informant measures of parental alcohol use reported by the mothers and partners during pregnancy and throughout childhood (allowing comparison of maternal and paternal effects). ALSPAC have also collected child self-reported alcohol use and family-reported measures of child criminal and anti-social behaviour. These self-reported measures will be used to help understand associations between alcohol use and child outcomes including child alcohol use, criminal and antisocial behaviour and injury. As part of this investigation linked HES records will be used to contribute information on hospital admission (with codes related to injury linked to external causes of morbidity, i.e. alcohol) and attendance at A&E due to accidents and injuries. ALSPAC maintains a release register which records data sharing for research, which is part of their annual NHS DSPT review. Once sublicensing is granted and projects begin to be approved under sub licencing, the ALSPAC website will be updated with this release register. 10. Patterns of engagement with health and education services as predictors of child looked-after or in-need status (covered by CAG ECC 1-05(b)/2012). HES data will be used, along with ALSPAC self-reported data and education records (e.g. attendance rates) and extracted general practice data, to examine whether patterns of health service engagement (e.g. missed routine appointments, regular attendance at A&E or out-of-hours services, receipt of care for accidental injuries) are useful predictors of a child becoming in need or looked-after. ALSPAC are engaged with the nascent National Child Looked After Observatory and local (Bristol) safeguarding teams in order to effectively disseminate the findings. Findings will also be published in appropriate academic journals and through conferences and local workshops (in partnership with the South West BRC, NHS CLHARC West and Bristol Health Partners). As described above, this study is of great public and scientific interest. This work therefore relies on Articles 6(1)e (processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller) and 9(2)j (processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes) as the GDPR legal basis for processing the data disseminated under this Agreement. The University of Bristol is the sole Data Controller under this Agreement; no other organisations have any involvement in determining the purpose for which the data supplied under this Agreement is used. ALSPAC make use of a secure research infrastructure developed to support the SAIL databank of Welsh routine health and administrative records by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea is the Data Processor working to instruction from the University of Bristol who is the Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS Digital). Therefore, the University of Swansea are listed as the sole Data Processor under this Agreement.

Processing activities

Filtering based on Legal Basis: The University of Bristol will transfer data to NHS England. The data will consist of identifying details (specifically NHS Number, Date of Birth, Name, Postcode, Gender and a unique person ID) for the cohort to be linked with NHS England data, to link with non-health data and non NHS England health data and to allow validation of the linkages. The CAG committee (in ECC 1-05(b)/2012) requested that ALSPAC distinguish between health records with normal sensitivity (e.g., relating to a broken leg or having asthma) and those that are particularly sensitive (including all mental health and sexual health records). ALSPAC have listed (using health codes) all the particularly sensitive types of records in existence. This list will be used to ‘filter’ out the particularly sensitive records for which there is not s251 support and must therefore be excluded from the extract. This filter list has been altered to include the particularly sensitive records needed for the research investigations included in this project and which are allowed under ALSPACs further s251 approvals. This has resulted in an ‘inclusion list’ of all the codes that have s251 support, and are to be extracted and provided by NHS Digital to ALSPAC. The technical feasibility of applying this inclusion list within the ALSPAC extract has been considered and agreed by NHS Digital staff. Steps are taken when generating the extract to ensure that particularly sensitive records which are not in the inclusion list neither appear in the extract, nor their presence can be inferred by ALSPAC when they receive the data. This is little difference in principle than a typical minimised data request based around a specific event (e.g. to extract coronary heart disease records only), only in this instance, there is a very wide range of specific events. NHS England will provide the relevant records from the HES, deaths, cancer, demographics, mental health, maternity, CSDS, IAPT and NHSBSA datasets to the University of Bristol’s ALSPAC Data Safe Haven. The Data will contain directly identifying data items including NHS Number, Date of Birth, Name, Postcode and Gender which are required to link the Data at record level with data already held by the recipient. Process Stage 1: Linking ALSPAC participants to the NHS/NHS Digital demographic database After NHS England have sent the linked Data to the University of Bristol, the Data is processed in the following ways before access is granted to bone fide researchers: (this stage has already taken place and further linkage will only be applicable for those cohort participants not originally linked) Process Stage 1: Data processing in the ALSPAC Data Safe Haven ALSPAC have provided the NHS Digital (then NHS IC) with the personal identifiers of its study participants. NHS Digital commissioned linkage of the ALSPAC identifiers to the NHS central demographic register (now the NHS Spine). The product of this linkage (a link between ALSPAC MR1048 ID to NHS ID for each participant) is stored by NHS Digital and can be used to identify ALSPAC participants amongst NHS Digital records. Additional linkage may be required for newly enrolled cohort participants (approximately 15,000 of 20,000 eligible families are enrolled, but small numbers of the remaining 5,000 continue to enrol). A new Study ID will be allocated to these records. ALSPAC will securely provide NHS Digital with separate lists identifying (by Study ID) MR1048b:s251 participants. The lists will be filtered for up-to-date consent/dissent/withdrawal from ALSPAC status prior to sending. Process Stage 2: NHS Digital Extraction of Records HES and MHSDS records of ALSPAC participants will be identified using the existing MR1048 link and NHS Digital will extract copies of participants records where found (with the same processing for ‘new’ cohort participants). The extract for MR1048b: s251 will be filtered (as described above) to erase the existence of the ‘sensitive’ records (in such a way that it cannot be determined that they previously existed) and to exclude any participants who have registered a national patient data sharing objection. The MR1048b:s251 extracts will be sent to the ALSPAC Data Safe Haven. The extracts will be identified by Study ID and a check identifier (Date of Birth) to allow validation of the linkage. The extract will be sent to ALSPAC via the NHS Digital secure methodology (e.g. secure download site in an encrypted file). As ALSPAC are able to map MR1048 ID back to the ALSPAC administrative database these data extracts should be considered as being identifiable (even if pseudonymised). The extracts will be received into the ALSPAC Data Safe Haven; which is managed by a small, specialist, team of ALSPAC health informatics experts (employed by the University of Bristol). The data will be stored on a secure encapsulated virtual machine located at the University of Bristol. The safe haven is kept separately from the ALSPAC administrative database (which contains participant identifiers). The Data Safe Haven design has been adopted to restrict access to identifiable data used for secondary purposes and to support the de-identification of the data prior to the bulk of the data uses. The Data Safe Haven governance arrangements have been reviewed and approved by an NHS Research Ethics Committee (REC) and the Health Research Authorities Confidentiality Advisory Group (HRA CAG). The Data Safe Havens security arrangements have been independently audited and certified to the NHS IG Toolkit and ISO27001 security standards (described below). Process Stage 3: Data processing in the ALSPAC Data Safe Haven The ALSPAC Data Safe Haven was designed in accordance with NHS policy [3]. Incoming, identifiable, data is stored in an encrypted format on encrypted and firewalled demarcated server space. Access to this server space is restricted to the Data Safe Haven team (by user access controls and access is only permitted from a small number of desktop computers based in secure offices at the University of Bristol). On entry to the Data Safe Haven a copy of the data is archived. The data are processed for the following purposes: [1 paragraph unchanged] ii. Derivation: Derived data are created in order to assist in the [43 words unchanged] will allow accurate sequences of events to be created when combining NHS Digital England data with other data), and to assist the research process (e.g. 1) [60 words unchanged] syntax, which is stored along with a documented record of the derivations; [3 paragraphs unchanged] The identifiable data are only used for these data processing purposes, i.e. i.e., to facilitate and support research. The Identifiable data are not used in research investigations. Process Stage 4: 2: Participant Tracing Data Where the data extracted from the NHS Digital England relates to participant contact details and status (e.g. left England and Wales, [88 words unchanged] values which are used in some research projects in a non-disclosive form. ALSPAC will use a an MRC Farr Institute ‘UK Secure eResearch Platform (UKSeRP) as a ‘secure research [45 words unchanged] by the Welsh MRC Farr Institute and is operated by two organisations: The NHS Digital Health and Care Wales Informatics Service (NWIS) (DHCW) and the University of Swansea Health Informatics Research Unit (HIRU). HIRU, through [96 words unchanged] University of Bristol have agreed to in their contract with the NHS Digital). England). UKSeRP has ISO27001 certification. This principle has been previously agreed as suitable for hosting linked NHS Digital England records. Process Stage 5: 3: Linking ALSPAC participants to the UKSeRP [1 paragraph unchanged] UKSeRP operates on a ‘split file’ approach to handling data; where identifiers are handled separately from clinical or individual attribute data. Identifiers are processed by NWIS DHCW (within the confines of the NHS); where they are processed by an [28 words unchanged] person coming from multiple sources can be linked to the same ALF. ALSPAC have already sent the identifiers to NWIS DHCW along with an externally meaningless ID number (KEY ID). NWIS DHCW have used the identifiers to create ALF IDs for ALSPAC participants. This [46 words unchanged] can then be automatically replaced with ALF in a ‘black box’ process. Process Stage 6a 4a & 6b: 4b: Sending NHS Digital England and ALSPAC data from ALSPAC into the UKSeRP [1 paragraph unchanged] ALSPAC data safe haven staff will also conduct the same process on the de-identified (see Stage 3) HES and MHSDS 1) NHS data. The HES and MHSDS NHS data will then be securely sent (using AES-256bit encryption) with Key ID into the ALSPAC UKSeRP via the automated ‘gateway’ upload appliance. Process stage 7: 5: The UKSeRP automated gateway system automatically replaces Key ID on incoming data [38 words unchanged] ALSPAC staff have no means of linking ALF back to the ALSPAC databases, databases yet can use ALF to join records coming in from different sources or at different times (e.g. longitudinal updates). Process Stage 8: 6: Sub-setting and further anonymization of data prior to analysis The researchers with approval to access the ALSPAC HES and MHSDS data [98 words unchanged] is included describing how University of Bristol's process meets the ICO requirements). Information about these hypotheses – and the use of NHS data sourced from the NHS Digital – will be posted on the study website: www.bristol.ac.uk/alspac/participants/young-people/. Project specific datasets are risk assessed and disclosure control is applied as deemed appropriate. Further disclosure control ranges from suppression of rare values and outliers to a state where the possibility of disclosure is rendered so challenging that the data can be considered as being effectively anonymised in line with the HSCIC Anonymisation Standard for the publication of Health and social Care Data. Case selections will be assessed for risks of disclosure through inference (e.g. where a sample selection is made on the basis of a health condition), where this is a risk the Safe Haven staff will add control or masking cases. Participants have been notified about this information, and each study newsletter includes updates and reminders (e.g. page 2 of: www.bris.ac.uk/alspac/external/newsletters/Childrenofthe90s_familynewsletter_2015.pdf ) Participants are able to opt-out of each individual study (before the study starts). This mechanism for providing on going fair processing information was developed with the HRA CAG with input from the Information Commissioners Office. Project specific datasets are risk assessed and disclosure control is applied as deemed appropriate. Further disclosure control ranges from suppression of rare values and outliers to a state where the possibility of disclosure is rendered so challenging that the data can be considered as being effectively anonymised in line with the HSCIC Anonymisation Standard for the publication of Health and social Care Data [4]. Case selections will be assessed for risks of disclosure through inference (e.g. where a sample selection is made on the basis of a health condition), where this is a risk the Safe Haven staff will add control or masking cases. [1 paragraph unchanged] The ALSPAC Data Linkage Research Database will continue to be run and maintained within a Secure Research Environment (SRE). The steps used by ALSPAC to link to participants’ third-party data, once the data linkage is agreed between the parties and a formal Data Sharing Agreement is signed are described below: 1. ALSPAC agrees minimal participant identifiers (demographics) and formatting with the third party (data provider). This minimises the chance of missing matched records. A unique study ID is generated for each participant. Note: some of these identifiers will have been obtained under s251 support and so will require the ongoing support of HRA CAG. 2. ALSPAC demographic data is encrypted to AES-256 standard, and password protected. 3. ALSPAC data is sent via a Secure File Transfer (SFT) protocol. The password is sent through an independent channel. 4. The third party combines the ALSPAC dataset together with their own demographic information. 5. The third party identifies individuals common to both datasets. Participant demographics are no longer required and are dropped at this stage. 6. The records of only the matched individuals are extracted from the third party’s database. All agreed data items are extracted. Individual participants are indicated by only their study IDs. 7. The third-party data is encrypted to AES-256 standard and protected with a new password (a mirror of stage 2, above). 8. The third-party data is sent via a Secure File Transfer (SFT) protocol. The password is sent through an independent channel (a mirror of stage 3, above). 9. The raw third-party records are initially integrated into ALSPAC using the Study IDs. 10. The data is lightly processed to minimise any risk of participant re-identification. 11. The de-identified data is ingested into ALSPAC’s SRE in UKSeRP. 12. Researchers can request data items from these third-party datasets, relevant to their project, and perform analyses within the SRE. The ALSPAC Data Linkage Team are responsible for sourcing and managing data from third-party sources. They work closely with the Data Access Team to approve, cost, and generate the datasets so researchers can securely and appropriately access linked ALSPAC data, within a safe environment. [1 paragraph unchanged] Researchers are all contracted to University of Bristol (as described below). Bristol. They will only be able to access the sub-partition(s) of the ALSPAC [90 words unchanged] so remote that the data can be appropriately treated as effectively anonymous. Researchers are allowed to remove data outputs (e.g. (e.g., statistical findings, graphs, tables of aggregated findings) from UKSeRP through a controlled [42 words unchanged] Committee assess the publications for issues including checks for potential disclosure risks (e.g. (e.g., tables summarising statistical outputs containing small cell counts). Disclosure checks will ensure compliance with the small number suppression rules contained within the HES NHS Analysis Guide. Data Specification: ALSPAC require life-course data from birth (i.e. maternity HES from 1990-1993) to the most recent finalised datasets (it is appreciated that the records contained within different HES domains start at different points in time). This will allow the assessment of changing health status over time, changing severity of health status and the precursor health events leading up to health outcomes. ALSPAC require detailed information about these in order to build event sequence records comprising study collected information, linked health and social care records from NHS Digital and linked records from other providers (e.g., national pupil database records). The data request is limited to the cohort participants, but not limited geographically (given that participants have moved away from the original cohort catchment area). ALSPAC is requesting that the extract is filtered to remove some particularly sensitive fields (to comply with the s251 approval conditions), but are not filtered for any other reason (i.e., a full range of health event information is needed in order to establish health status sequences for University of Bristol's diverse projects). Information Security: ALSPAC are committed to maintain high standards of information security and recognise that this is a key component of the trust relationship with participants and data owners alike. To achieve these standards ALSPAC have developed an Information Security Management System and associated management and governance structure that has been certified as meeting the ISO/IEC 27001:2022 Information Security standard. ALSAPC annually submit an NHS DSP Toolkit assessment. Information Security: ALSPAC are committed to maintain high standards of information security and recognise that this is a key component of the trust relationship with participants and data owners alike. To achieve these standards ALSPAC have developed an Information Security Management System and associated management and governance structure that has been certified as meeting the ISO/IEC 27001:2013 Information Security standard. ALSAPC have submitted an NHS IG Toolkit assessment (edition 14: 2016/2017) which scored 97% in the last assessment. The Data will be stored on the ALSPAC Data Safe Haven at the University of Bristol and UK Secure eResearch Platform (UKSeRP) In the event the participant changes their mind, then ALSPAC have a defined ‘withdrawal of consent’ protocol, which is available to participants via the study website: The Data will be accessed by authorised personnel via remote access. - http://www.bristol.ac.uk/alspac/participants/ The Controller(s) must confirm and provide evidence upon audit by NHS England that access via any remote device complies with the data security obligations within this DSA and the Data Sharing Framework Contract. The policy allows participants to tailor their involvement in the study; either by altering permissions for the use of their health records in a specific project, the use of their health records in general, or their continued involvement in the study. For remote access: Research Purposes: Observational epidemiology aims to build a body of evidence related to any given topic. The investigations detailed below are designed to add to the relevant evidence base within that field. In themselves, these will typically not directly change NHS process. However, if replicated elsewhere and found to be important through systematic review then this could lead to policy change (e.g. NICE guidelines are frequently developed using systematic reviews of evidence). This is in contrast to other types of research (e.g. randomised controlled trial interventions or drug trials) that may provide stronger evidence of causation and can hence can lead to more immediate impact. To ensure full potential for impact on health and social care system, ALSPAC will ensure that the findings of the investigations are well placed to feed into this process through ensuring publication in peer-reviewed journals that are fully indexed (e.g. pubmed, medline) and contain strong descriptive keywords (i.e. the findings will be discoverable by those conducting systematic reviews). This is the standard pathway to impact for observational research. Where possible, ALSPAC will also directly feed findings into national or local health care initiatives, and this is described where relevant (see below). - Remote access will only be from secure locations situated within the territory of use (as further restricted elsewhere within the DSA if so done) stated within this DSA; The ALSPAC Data Safe Haven team who will process the data are:Data Linkage and Information Security Manager, Data Manager (PEARL), Research Associate in Statistics/Epidemiolog and the Senior Research Associate. All are University of Bristol contracted staff. The Safe Haven team will prepare the data extracts and also give ‘Data Science’ input into the research process (i.e. through offering expert guidance on ALSPAC, data linkage processes, and on the interpretation and statistical processing of linked records within an epidemiological context). As such they will undertake processing which from data management to research analysis. - Access controls granting users the minimum level of access required are in place; None of the data requested will be linked with any other data, apart from the linkages permitted in the DSA. Additionally there will be no attempt made to re-identify individuals from the the previous extract of consenting index children. - Remote access is only via secure connections (e.g., VPNs or secure protocols) to protect data; - Multifactor authentication (MFA) is required for remote access; - Device security, including up-to-date software and operating systems, antivirus software, and enabled firewalls are utilised for the remote access; - All remote access is undertaken within the scope of the organisation’s DSPT (or other security arrangements as per this DSA) and complies with the organisation’s remote access policy. The above applies in addition to any condition set out elsewhere within the DSA (e.g. who may carry out processing, and for what purpose) Remote processing will be from secure locations within the UK. The data will not leave the UK at any time. Access is restricted to employees of the University of Bristol who have authorisation from the Principal Investigator, and approved sublicensees. Data will be accessed by individuals with an honorary contract with the University of Bristol. The individuals will act as an agent of the University of Bristol at all times under supervision from employees of the University of Bristol. Aside from these individuals, access is restricted to employees or agents of the University of Bristol who have authorisation from the Principal Investigator or Executive of ALSPAC. Employees of other organisations under sublicence are permitted to access pseudonymised data only. All personnel accessing the Data have been appropriately trained in data protection and confidentiality. The Data will be linked at person record level with the following data: Health Data: - Optum – Primary Care - BadgerNet (SystemC) – Maternity Data (currently supported but not yet realised) - STORK – Maternity Data - Local datasets from NHS trusts – such as AvonCAP, Bristol Self Harm Register, HeartSuite, AWP (MH) and Local and National health registers containing ALSPAC participants - UKHSA and other Department of Health & Social Care agencies and bodies – National datasets and registers containing ALSPAC participants - Other commercial organisations which provide software and data management services across the NHS, and which contain datasets and registers including ALSPAC participants. Non-health Data: - Department for Education – Key Stage data (1-5), school absences and exclusions. Also, Higher Education and Further Education (already held for G1, will request data for G2 in future). - Ministry of Justice – National justice data; this will include crimes (cautions, convictions), and information about status as a suspect or a victim of crime (application pending). - Avon & Somerset Police – Local crime data; relating to crimes (including information about cautions and convictions, suspect or victim) in the local area to Bristol (already held for G1, will request data for G2 in future). - Geodata – Local and National data on the community and environment (some already held, based on address histories of participants). - Project specific data provided by researchers – this will be linked into the ALSPAC datasets by ALSPAC staff in a manner preserving confidentiality. The identifying details will be stored in a separate database to the linked dataset used for analysis. All analyses will use the pseudonymised dataset. There will be no requirement and no attempt to reidentify individuals when using the pseudonymised dataset. The University of Bristol will ensure that an appropriate legal basis for the processing, and linkage of the datasets listed above is established and maintained. The University of Bristol will also ensure that all necessary local governance approvals and agreements are in place prior to undertaking any such data collection or linkage activities. The Data will be stored on a secure encapsulated virtual machine called the Data Safe Haven located at the University of Bristol. The Data Safe Haven is kept separately from the ALSPAC administrative database which contains participant identifiers. The Data Safe Haven design has been adopted to restrict access to identifiable data used for secondary purposes and to support the de-identification of the data prior to the bulk of the data uses. The ALSPAC Data Safe Haven was designed in accordance with NHS policy. Incoming, identifiable, data is stored in an encrypted format on encrypted and firewalled demarcated server space. Access to this server space is restricted to the Data Safe Haven team (by user access controls and access is only permitted from a small number of desktop computers based in secure offices at the University of Bristol). On entry to the Data Safe Haven a copy of the data is archived. Researchers from the University of Bristol and approved sublicensees will analyse the Data for the purposes described above.

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings of the dissemination via journal articles will be constrained by the nature of the peer-review system. ALSPAC employ dedicated communications experts to assist with dissemination and engagement. Public and professional publicity (e.g., press releases, twitter posts, newsletter and Facebook articles) will be coordinated with the publication of findings. Dissemination via conferences and workshops will occur throughout the project period using interim results. For all the investigations, ALSPAC are committed to feeding back findings to participants. Participants will be informed through the ALSPAC print and social media newsletters. ALSPAC have a strong track record of running study engagement events which are designed with input from participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g., http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of public lectures in Bristol. Periodically the study produces a book (e.g. http://www.bristol.ac.uk/alspac/go/21st-book/) or YouTube videos (https://www.youtube.com/user/children90s) that describe findings and how participant data is used. ALSPAC works with national and local media to disseminate findings, along with local attractions such as the MSHED museum of Bristol Life. Study findings from the applications described in this application will be incorporated into future activities. The expected outputs of the processing will be: ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g., https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through University of Bristol's press-release system (http://www.bristol.ac.uk/alspac/news/) and via newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s) - Submissions to peer reviewed journals The specific project level dissemination plans are: - Presentations at appropriate conferences Project 1 (The effect of substance use in adolescence on mental health):(See HRA CAG-15/CAG/0177) The outputs will not contain NHS England Data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived. The findings will be disseminated through appropriate epidemiological and public health academic journals (e.g. Addiction, International Journal of Epidemiology, Epidemiology, Wellcome Open) and findings (including interim results) at conferences (e.g. Society Academic Primary Care, MRC Farr Institute). ALSPAC will also work with members of the NHS Bristol Health Impact Team to feed findings to local service providers. The outputs will be communicated to relevant recipients through the following dissemination channels: Project 2 (Chlamydia testing, infection, and sequelae in young people): (see HRA CAG 15/CAG/0176) - Journals This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. Findings will be published in an appropriate epidemiology journals or those dedicated to sexual health fgindings (e.g. International Journal of Sexual Health). The Senior Research Associate will lead professional dissemination based on understandings gained from his role as the Deputy Chair of the NICE Public Health Advisory Committee (PHAC-F), a committee responsible for the development of NICE public health guidance and is the Director of the NHS Bristol Health Partners sexual health for population and patients’ health integration team. - Workshops Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response):(see ECC1/05(b)/2012) - Conferences Insights from this work will be published in an appropriate epidemiology/survey methods journal (e.g. Society of Longitudinal and Life Course Studies, BMC Medical Research Methodology, Survey Research Methods), at similar conferences and via ALSPAC study website and the CLOSER longitudinal research consortium website. To ensure this information is fedback to the NHS ALSPAC will send the project findings to the Care Quality Commission ‘Survey Coordination Centre’ who facilitate NHS Surveys. - Newsletters aimed at participants (both print and via social media) Project 4 (Investigating the accuracy of current estimates of self-harm):(see HRA CAG 7-06(a)/2013 ) - Local and national press/media engagement. ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations. The participants will be informed of the outputs through University of Bristol's press-release system. Results from the study will be published in a suitable epidemiology/psychiatry journal and via the ALSPAC study website. Preliminary work (based on those participants who provided consent to link their data with medical records) has been published in Archives of Suicide Research (http://dx.doi.org/10.1080/13811118.2015.1033121), and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce (https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). To ensure this information is fed back to the NHS ALSPAC will communicate the project findings to the Bristol Health Partners ‘Improving Care in Self-Harm’ STITCH Health Integration Team. Professor David Gunnell (The project PI) is the academic lead for STITCH. DG is also a member of both England’s and Bristol’s Suicide Prevention Advisory Groups and works closely with Public Health England, and will feed back relevant findings into NHS and Public health strategy. - Social media: Twitter/X posts and Facebook articles Project 5 (Early life causes of adolescent depression and anxiety): (see HRA CAG 15/CAG/0175) - Work with local attractions, such as the MSHED museum of Bristol Life Outputs will be published in academic journals (e.g. BMJOpen, International Journal of Epidemiology) and will inform methodological understanding of self-reported and public policy development. The Investigators will work with Prof. Ann John (University of Swansea, who will not have access to the data) to disseminate findings; Prof. John chairs the National Advisory Group to Welsh Government on Suicide and Self harm prevention and is honorary Consultant in Public Health Medicine with Public Health Wales. Outputs will be produced and disseminated on an ongoing basis. Some early outputs include the following journal submissions: Project 6 (Investigating the association between IQ and self-harm):(see HRA CAG 14/CAG/1032) - Preliminary work from the “Investigating the accuracy of current estimates of self-harm” study has been published in Archives of Suicide Research and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce. The academic lead for STITCH (“Improving Care in Self-Harm”) is the PI of this project and will feed back relevant findings into NHS and Public health strategy. Findings will be published in academic publications topical to the condition and/or epidemiological methods (e.g. BMC Medical Research Methodology). The researchers will work with Professor Gunnell to ensure wide dissemination of study findings within relevant NHS community (see Project 4). - Maternal smoking during pregnancy and intellectual disability' Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records):(supported by ECC1/05(b)/2012) - A Population-Based Cohort Study Examining the Incidence and Impact of Psychotic Experiences from Childhood to Adulthood, and Prediction of Psychotic Disorder Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Understanding will be disseminated via the Medical Research Council and Asthma UK funded STELAR asthma research consortium. Findings will help support research by the Medical Research Council and Natural Environment Research Council ERICA study that will assess associations between traffic pollution exposure and asthma outcomes in ALSPAC index children. The findings will support Prof. Henderson’s programme of work, as a part of which he was a lead contributor to the Royal College of Physicians ‘Every Breath We Take’ report into the lifelong impacts of air pollution (https://www.rcplondon.ac.uk/file/2914/download?token=qjVXtDGo). - Continence Problems and Mental Health in Adolescents from a UK Cohort Project 8 (Antecedent factors predictive of later ear disease): (supported by ECC1/05(b)/2012) - Child maltreatment and parental domestic violence and abuse, co-occurrence and the effect on lifetime outcomes in the Avon Longitudinal Study of Parents and Children (ALSPAC) The Senior Research Associate in Medical Statistics and the Professor of Community Child Health will use the data to conduct the research evaluation. Clinical expertise will be provided by a Research Fellow in Social and Community Medicine and a Lecturer/NHS ENT surgeon, neither of whom will be provided with access to the data. Academic findings will be published in journals (e.g. International Journal of Audiology, BMJ Open, PLoS ONE). Study findings will be disseminated via the ENT liaison with the local CCGs Clinical Policy Review Groups. On a national level the ENT Specialty Lead for the NIHR Clinical Research Network: West of England will disseminate via the ENT National specialty group. - Mapping neurodevelopmental trajectories: A focus on autism with comparisons to psychosis Project 9 (parental and child alcohol use and later criminality and injury outcomes): (supported by ECC1/05(b)/2012) ALSPAC anticipates more outputs as projects mature, and new projects start. This work has been funded by the UK Medical Research Council and findings will be disseminated through academic routes (i.e. public health and health practitioner journals such as the BMJ as well as conferences such as the Society of Academic Primary Care), press releases and feedback to Department of Health policy makers. The Director of the NHS Bristol Health Partners ‘Drug and Alcohol’ Health Impact Team and will feed findings through into local care providers via this network. Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status): (supported by ECC1/05(b)/2012) Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. University of Bristol will publish the findings in relevant academic journals (e.g., Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). University of Bristol will disseminate relevant project findings to charities (e.g., NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Expected measurable benefits

The described ALSPAC investigations each have defined primary objectives to improve the understanding amongst some of the most concerning and prevalent areas of adolescent health; i.e. e.g., those relating to depression, psychosis, self-harm and suicide and substance use. Through [9 words unchanged] linked to health records ALSPAC can study exposure/outcome associations in marginalised groups (i.e. (i.e., those in need/in care and those suffering from mental health conditions). Secondary [26 words unchanged] improve the accuracy of evidence informing health and social care policy development. The project level anticipated benefits include: ALSPAC is in the unique position of being able to use the NHS data in the research database in combination with other longitudinal datasets. The ALSPAC Research Database will integrate linked, third-party, administrative data from several sources, primarily NHS England, with its own data collected directly from participants. These directly collected data (Study Data, Clinical Data and Biological Samples) are described here for context because most projects request a combination of linked NHS data and ALSPAC data. Researchers using ALSPAC - NHS health data in the database are doing so for a medical purpose, as required by the NHS Act (2006, s251), which includes medical research. All researchers requesting access to ALSPAC - NHS data are asked ‘How will the outputs from using this data generate benefits for the Health and Social Care system?’ as part of their proposal. Project 1 (The effect of substance use in adolescence on mental health): This research will lead to a better understanding of the risks associated with substance use in adolescence, and the The use of the data could: aetiology of mental health difficulties. It therefore has the potential to impact on public health policy. here is unlikely to be any major direct benefit to study participants, although the study involves a wider public health benefit. Study participants experiencing mental health problems may benefit from improved understanding of the cause of these, but such benefit is difficult to quantify. - help the system to better understand the health and care needs of populations. Project 2 (Chlamydia testing, infection, and sequelae in young people): Effective reduction of adverse sexual health outcomes depends in part on an understanding of the factors and processes that predispose an individual to experience these outcomes. Such understanding depends on the ability to consider the influence of exposures acting across the life course from early childhood. This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. - lead to the identification or improvement of treatments or interventions, or health and care system design to improve health and care outcomes or experience. Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response): Self-reported data suffers from participant reporting bias introduced by factors such as recall error (i.e. the ability to accurately remember and report information) or social desirability (i.e. where perceived social influences impact on the answers individuals give). This project will help inform researchers, public health officials and policy makers as to how to interpret findings generated using self-reported data. Separately, it is known that participants who respond to studies are different to those who do not, and there is potential for health effects to impact on individual’s likelihood to take part. Findings from this study will improve the understanding of study error (e.g. error’s in prevalence estimates introduced where the likelihood of follow-up is differentiated by social, demographic or health conditions). - advance understanding of regional and national trends in health and social care needs. The potential benefits of Project 3 are illustrated by Project 4 and 5. While Project 3 will look at this in broad terms, Project’s 4 and 5 will study some of the same issues at more depth within the context of specific health status’s. - advance understanding of the need for, or effectiveness of, preventative health and care measures for particular populations or conditions such as obesity and diabetes. Project 4 (Investigating the accuracy of current estimates of self-harm): Outputs from this project are of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice. - inform planning health services and programmes, for example to improve equity of access, experience and outcomes. Project 5 (Early life causes of adolescent depression and anxiety): Rates of anxiety and depression among children and adolescents in the UK have increased markedly in recent decades. Maternal smoking and alcohol consumption during pregnancy have been shown to be associated with many - support knowledge creation or exploratory research (and the innovations and developments that might result from that exploratory work). adverse psychological and behavioural outcomes among children, including in ALSPAC. ALSPAC would like to find out if these are risk factors for adolescent depression/anxiety. It is possible that the predictors of depression/anxiety may be different among individuals for whom self reported The participants themselves do not expect to benefit directly or immediately from the research. The participants take part for altruistic reasons and understand that ALSPAC research is intended to contribute to improving the health and care of the wider community as a whole. data is available, compared to those who are no longer participating in the study. Outputs will inform the methodological understanding of self-reported depression and anxiety and public policy development. ALSPAC is an internationally recognised research database, and over 3,000 publications have made use of ALSPAC data. Allowing non-ALSPAC researchers the ability to access ALSPAC NHS data will enable many more projects to proceed than ALSPAC alone could manage, and will enable experts from outside ALSPAC to conduct research using the full data available from our database. There are many experts outside ALSPAC who will be able to conduct their research using ALSPAC data and who will have the ability to influence public health beyond the capabilities of ALSPAC alone. Project 6 (Investigating the association between IQ and self-harm): Findings from the research will add value to epidemiological research on self harm and have wider benefit for the scientific community as it will increase ALSPACs knowledge of how best to combine self harm data from different sources. With the inclusion of GP data, it will build on work being undertaken by colleagues and allow researchers to make appropriate decisions regarding missing self reported data in their analyses. This research also has the potential to impact on public health policy as it will lead to a better understanding of who is at greatest risk of self harm. This is important in terms of the appropriate design and targeting of interventions. ALSPAC has a good relationship with local media and regularly update their own webpages and social media. Staff from ALSPAC attend, and often contribute to, conferences in the UK and beyond, and all research is published through peer-reviewed outlets, to enable the research findings to reach a wide audience. Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records): Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Specifically, longitudinal approaches will allow greater understanding on precursor GP reporting (e.g. presenting with wheeze) prior to diagnosis of asthma status. Accurate asthma status informed by objective assessment and therapeutic data will enable more accurate assessment of the environmental and genetic development influences of asthma and other respiratory conditions. Project 8 (investigating early signs of ear disease): Information about the prognosis of these early signs and their likely development into serious disease will inform clinical decision making about the need for early preventative surgical intervention, which is currently not known. Study findings will be published in appropriate journals and presented locally and nationally through specialist Networks. Project 9 (parental and child alcohol use and later criminality and injury outcomes): In part, this research will address the evidence gap on in utero substance use exposure on child outcomes. The importance of this work has recently been highlighted in a systematic review of the effects of maternal alcohol consumption in pregnancy on later child outcomes (see http://www.bris.ac.uk/news/2017/september/drinking-during-pregnancy.html for more details), and the confusion this generates with conflicting press reporting of 'safe' levels of substance use public health guidance for pregnant women. The research will also consider childhood exposure to parental alcohol consumption and later child/adolescent/young adult alcohol consumption and resulting patterns of criminality and personal injury. Evidence of complex health and social associations is lacking due to the challenge of building sufficiently rich and diverse data to inform these investigations. The aim is that linked ALSPAC-HES-General Practice-Education records may inform understanding in this area and allow dissemination via relevant journals, press releases and appropriate networks as outlined in Outputs for Project 9. Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status. It is known that children in care have poorer health and education outcomes than those not in care. Early identification of children at risk of care status will aid early intervention. If the project identifies strong predictors it will investigate the potential for them being incorporated into a predictive tool to be used by health or social care professionals. Such a tool could be embedded in clinical software and improve the early identification of risk, a key challenge in the safe-guarding of children.

Benefits reported

University of Bristol received the data in late August 18 and are still processing and documenting it. Applied analysis is due to start in early 2019. There have been data quality issues with the HES data received - a full resupply will be given, so that correct analysis can be taken. Therefore no yielded benefits have been realised. ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way, it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS England Data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’). A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

DARS-NIC-152414-W3P6Q-v4.2 24 May 2024 to 23 May 2027
Title
Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC)
Commercial
No
Sublicensing
No
Datasets
13
Files released
324

Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Emergency Care Data Set (ECDS); Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report

What changed from DARS-NIC-152414-W3P6Q-v3.21

Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.

Fields changed from DARS-NIC-152414-W3P6Q-v3.21
FieldWasBecame
Start date2024-04-042024-05-24
End date2027-04-032027-05-23

Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits, Benefits reported.

Objective for processing

ALSPAC is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS Digital). ALSPAC is part of the Population Health Science group within the Bristol Medical School at the University of Bristol. Over £100m has been invested into ALSPAC by UK funding councils, charities (e.g. Wellcome Trust, British Heart Foundation, Asthma UK, Cancer UK), the NHS NHIR and directly from UK Government Departments. ALSPACs primary funding comes from the Wellcome Trust, The Medical Research Council and the University of Bristol.

The study seeks approval to link to, extract and use NHS Digital data (Flagging and Tracing, HES and MHSDS) to inform a set of specific research investigations (listed below). These are specific questions – that require linked data - that have arisen from existing work, are led by University of Bristol investigators and are tied to health service improvements (as described later in the application).

The Avon Longitudinal Study of Parents And their Children (ALSPAC), popularly known as “Children of the 90s”,

enrolled pregnant women in the early 1990s into a study which has followed the health and development of the

resulting children and their parents/carers for nearly twenty years. These children are now adults.  ALSPAC will work to continue to collect data from the young people and their parents, as well as seeking to extend enrollment to the offspring of the study children: the third generation of the ALSPAC cohort.

This DSA is supported by Section 251 (s251) support for other participants.

When reviewing the application for s251 the Health Research Authority’s Confidentiality Advisory Committee (CAG) recommended that the conditions attached to the support should differ depending on the sensitivity of the data in question. Health data (which are all considered sensitive within the Data Protection Act) were considered to be either ‘sensitive’ or having ‘particular sensitivity’. It was considered that health records relating to Mental Health, Sexual Health and termination of pregnancy should all be considered as being particularly sensitive. This means the s251 legal basis differs between records of standard sensitivity (e.g. A&E admission for a broken bone) and those with particular sensitivity (e.g. admission for psychiatric disorder). The ‘primary application’ provides support to access and use all records with a standard sensitivity.

Primary application reference: ECC 1-05(b)/2012 – ALSPAC Study Young Adults: Enrolment and Consent for Record Linkage (Lead: Macleod);

The s251 support from this primary application is conditional on the particularly sensitive records being excluded from the extraction (e.g. those relating to mental or sexual health conditions cannot be extracted). However, this condition can be overridden by subsequent supporting applications, which justify at a project level the case for ALSPAC to access particularly sensitive records. Within each of these applications the researchers request support to extract and use a range of particularly sensitive records. ALSPAC have received s251 support for five of these supporting applications.

Supporting applications:

CAG 7-06(a)/2013 – Accuracy of estimates for selfharm

14/CAG/1032 – Association between IQ and selfharm

15/CAG/0175 – Early life causes of depression and anxiety

15/CAG/0176 – Predictors, prevalence and impact of chlamydia

15/CAG/0177 – Substance use and mental health

To accommodate the filtering needed for s251 cases (both to remove certain particularly sensitive records and national patient objectors) the ‘pipelines’ have been split in the flow diagram and narrative description between MR1048a: consent (applied for under a separate agreement), and, MR1048b: s251.

ALSPAC participants are free to object to the studies use of their records in this way at any time. Records of objections are stored in the central ALSPAC database. ALSPAC will ensure that objectors wishes are upheld and they will not be included in the list of MR1048b participants for whom records are requested.

ALSPAC received flagging and tracing extracts for many years. Also, in 2013, ALSPAC received an extract of HES records for ~3,000 consented index children . This extract was envisaged to be a technical pilot and to investigate exemplar hypotheses.

ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS Digital data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); through clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’).

A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

Specific purposes

Linked health record extracts are requested to inform investigations into the following 10 questions:

1. The effect of substance use in adolescence on mental health (see HRA CAG 15/CAG/0177)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff).

HES and MHSDS data will be used, along with GP data, to investigate the association between mental health outcomes in young people and substance use in adolescence. ALSPAC will consider the use of three of the most widely used substances (alcohol, cannabis and tobacco), and their association with a diagnosis of a mental or psychological disorder in general, and specifically a clinical diagnosis of mood disorder (e.g. depression), anxiety or psychotic disorder (e.g. schizophrenia). ALSPAC collected data will provide information on substance use exposure and NHS Digital and GP data will provide objective assessments of mental health outcomes. NHS Digital and GP data may be used (where possible) to assess reporting accuracy within the self-reported data and to inform strategies to deal with missing data. This research will improve understanding of the risks of substance use, and the patterns of health service use for young people with mental health problems.

2. Chlamydia testing, infection, and sequelae in young people (see HRA CAG 15/CAG/0176)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care.

ALSPAC will use HES data, along with GP records, to examine which factors influence Chlamydia testing, infection, and sequelae in young people. HES records will be used in the identification of pelvic inflammatory disease, ectopic pregnancy and reduced fertility amongst female ALSPAC participants with different evidence of exposure to Chlamydia (only negative tests, any positive tests, no evidence of testing). Reduced fertility will also be considered for male participants.

3. Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response (covered by CAG ECC 1-05(b)/2012)

Investigators: Data Linkage and Information Security Manager, Senior Research Associate, Research Associate in Statistics/Epidemiology and Data Manager (PEARL) (all full University of Bristol employees)

ALSPAC will investigate and describe 1) the reliability and validity of self-reported hospital admissions and those recorded in HES and MHSDS and 2) assess if individuals with adverse health status profiles are more likely to be missing from study follow-up assessments. This is methodological work which will support interpretation of ALSPAC data in other research projects (including the studies listed in this application) and also to support wider understanding and interpretation of bias in self-reported health status (e.g. in the NHS Survey of Mental Health and Wellbeing). This is increasingly important as ‘Big Data’ approaches in contemporary Data Science are being used to inform health policy development through the analysis of combined study data and routine records.

4. Investigating the accuracy of current estimates of self-harm (See HRA CAG 7-06(a)/2013)

Investigators: Professor of Epidemiology, Research Fellow, Senior Research Fellow (all full University of Bristol employees)

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported self-harm in the community (exploring the impact of non-response bias and mis-reporting) b) the long-term risk of hospital admission for self-harm in those self-harming in the community. This information is of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice.

5. Early life causes of adolescent depression and anxiety (See HRA CAG 15/CAG/0175)

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain accurate estimates of the association between maternal smoking and binge drinking during pregnancy and depression and anxiety in late adolescence and to investigate how (a) nonresponse and (b) misreporting in questionnaires affects estimates of this association. GP data will be used to provide depression and anxiety data for those individuals for whom University of Bristol do not have self-reported information (just over 65% of the cohort). The secondary objective is to obtain accurate estimates of the prevalence of depression and anxiety in late adolescence.

6. Investigating the association between IQ and self-harm (see HRA CAG 14/CAG/1032).

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain a more accurate estimate of the association between IQ and suicidal and non-suicidal Self-harm among adolescents and to investigate how (a) nonresponse and (b) underreporting in questionnaires affects estimates of this association. GP, hospital admissions and A&E data will be used to provide self-harm data for those for whom self-reported information is unavailable. The GP and hospital data will also be used to correct for any underreporting. The secondary research objective is to examine the extent to which adolescents seek GP help for self-harm and suicidal feelings.

7. Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records (supported by ECC 1-05(b)/2012)

Investigators: Senior Research Associate, Data Linkage and Information Security Manager, Professor in Clinical Epidemiology and Primary Care, Professor of Paediatric Respiratory Medicine, Research Fellow (all University of Bristol contracted staff).

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported asthma in the community (exploring the impact of non-response bias and mis-reporting) and b) to calculate the extent of asthma severity from recorded hospital attendance/admissions as well as primary care emergency visits and treatment steps. There is concern that asthma may be socially patterned and that it is known that key exposure and confounders collected through observational studies certainly are. Therefore the concern is that assumptions made about the associations and confounding structures of relationships between environmental exposures and asthma outcomes may not be valid. Insights into the accuracy of ALSPAC self-reported and study clinic assessed asthma and the severity of asthmas will support the investigations into the genetic and environmental influences of asthma and current work into the impact of traffic pollution on asthma. ALSPAC will investigate i) the natural history of early wheeze in relation to later asthma outcomes; 2) the relationships between early wheezing and later clinical records to determine if a ‘severe asthma’ profile can be detected in early childhood; 3) compare the impact of smoking and biomarker data from ALSPAC and respiratory function; 4) investigate the relationships between childhood infections and wheezing phenotypes with asthma and lung function in later childhood. This may help confirm an association (identified elsewhere between early respiratory infection and decreased lung-function during childhood that may be antecedent to adult respiratory morbidity and possibly mortality; and, 5) investigate the relationships between treatment for asthmas in primary care, adherence to treatment and outcomes of asthma and lung function in later childhood and early adulthood.

8. Antecedent factors predictive of later ear disease (covered by CAG ECC 1-05(b)/2012)

Project: Serious ear disease in later childhood and adulthood is distressing and burdensome on those effected and incurs treatment costs on the NHS. This project will investigate whether early signs of ear disease identified in ALSPAC at age 9 (categorised from photographs of the ear drum) are predictive of the development of serious ear disease requiring hospital treatment in later childhood and adulthood (as identified through HES).

9. Parental and child alcohol use and later child criminality and injury outcomes (covered by CAG ECC 1-05(b)/2012)

The impact of parental and child alcohol use on child health and education is unclear, and have possible societal and service provider costs. ALSPAC has multi informant measures of parental alcohol use reported by the mothers and partners during pregnancy and throughout childhood (allowing comparison of maternal and paternal effects). ALSPAC have also collected child self-reported alcohol use and family-reported measures of child criminal and anti-social behaviour. These self-reported measures will be used to help understand associations between alcohol use and child outcomes including child alcohol use, criminal and antisocial behaviour and injury. As part of this investigation linked HES records will be used to contribute information on hospital admission (with codes related to injury linked to external causes of morbidity, i.e. alcohol) and attendance at A&E due to accidents and injuries.

10. Patterns of engagement with health and education services as predictors of child looked-after or in-need status (covered by CAG ECC 1-05(b)/2012).

HES data will be used, along with ALSPAC self-reported data and education records (e.g. attendance rates) and extracted general practice data, to examine whether patterns of health service engagement (e.g. missed routine appointments, regular attendance at A&E or out-of-hours services, receipt of care for accidental injuries) are useful predictors of a child becoming in need or looked-after. ALSPAC are engaged with the nascent National Child Looked After Observatory and local (Bristol) safeguarding teams in order to effectively disseminate the findings. Findings will also be published in appropriate academic journals and through conferences and local workshops (in partnership with the South West BRC, NHS CLHARC West and Bristol Health Partners).

As described above, this study is of great public and scientific interest. This work therefore relies on Articles 6(1)e (processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller) and 9(2)j (processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes) as the GDPR legal basis for processing the data disseminated under this Agreement.

The University of Bristol is the sole Data Controller under this Agreement; no other organisations have any involvement in determining the purpose for which the data supplied under this Agreement is used. ALSPAC make use of a secure research infrastructure developed to support the SAIL databank of Welsh routine health and administrative records by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea is the Data Processor working to instruction from the University of Bristol who is the Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS Digital). Therefore, the University of Swansea are listed as the sole Data Processor under this Agreement.

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings of the dissemination via journal articles will be constrained by the nature of the peer-review system. ALSPAC employ dedicated communications experts to assist with dissemination and engagement. Public and professional publicity (e.g., press releases, twitter posts, newsletter and Facebook articles) will be coordinated with the publication of findings. Dissemination via conferences and workshops will occur throughout the project period using interim results. For all the investigations, ALSPAC are committed to feeding back findings to participants. Participants will be informed through the ALSPAC print and social media newsletters. ALSPAC have a strong track record of running study engagement events which are designed with input from participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g., http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of public lectures in Bristol. Periodically the study produces a book (e.g. http://www.bristol.ac.uk/alspac/go/21st-book/) or YouTube videos (https://www.youtube.com/user/children90s) that describe findings and how participant data is used. ALSPAC works with national and local media to disseminate findings, along with local attractions such as the MSHED museum of Bristol Life. Study findings from the applications described in this application will be incorporated into future activities.

ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g., https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through University of Bristol's press-release system (http://www.bristol.ac.uk/alspac/news/) and via newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s)

The specific project level dissemination plans are:

Project 1 (The effect of substance use in adolescence on mental health):(See HRA CAG-15/CAG/0177)

The findings will be disseminated through appropriate epidemiological and public health academic journals (e.g. Addiction, International Journal of Epidemiology, Epidemiology, Wellcome Open) and findings (including interim results) at conferences (e.g. Society Academic Primary Care, MRC Farr Institute). ALSPAC will also work with members of the NHS Bristol Health Impact Team to feed findings to local service providers.

Project 2 (Chlamydia testing, infection, and sequelae in young people): (see HRA CAG 15/CAG/0176)

This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. Findings will be published in an appropriate epidemiology journals or those dedicated to sexual health fgindings (e.g. International Journal of Sexual Health). The Senior Research Associate will lead professional dissemination based on understandings gained from his role as the Deputy Chair of the NICE Public Health Advisory Committee (PHAC-F), a committee responsible for the development of NICE public health guidance and is the Director of the NHS Bristol Health Partners sexual health for population and patients’ health integration team.

Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response):(see ECC1/05(b)/2012)

Insights from this work will be published in an appropriate epidemiology/survey methods journal (e.g. Society of Longitudinal and Life Course Studies, BMC Medical Research Methodology, Survey Research Methods), at similar conferences and via ALSPAC study website and the CLOSER longitudinal research consortium website. To ensure this information is fedback to the NHS ALSPAC will send the project findings to the Care Quality Commission ‘Survey Coordination Centre’ who facilitate NHS Surveys.

Project 4 (Investigating the accuracy of current estimates of self-harm):(see HRA CAG 7-06(a)/2013 )

Results from the study will be published in a suitable epidemiology/psychiatry journal and via the ALSPAC study website. Preliminary work (based on those participants who provided consent to link their data with medical records) has been published in Archives of Suicide Research (http://dx.doi.org/10.1080/13811118.2015.1033121), and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce (https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). To ensure this information is fed back to the NHS ALSPAC will communicate the project findings to the Bristol Health Partners ‘Improving Care in Self-Harm’ STITCH Health Integration Team. Professor David Gunnell (The project PI) is the academic lead for STITCH. DG is also a member of both England’s and Bristol’s Suicide Prevention Advisory Groups and works closely with Public Health England, and will feed back relevant findings into NHS and Public health strategy.

Project 5 (Early life causes of adolescent depression and anxiety): (see HRA CAG 15/CAG/0175)

Outputs will be published in academic journals (e.g. BMJOpen, International Journal of Epidemiology) and will inform methodological understanding of self-reported and public policy development. The Investigators will work with Prof. Ann John (University of Swansea, who will not have access to the data) to disseminate findings; Prof. John chairs the National Advisory Group to Welsh Government on Suicide and Self harm prevention and is honorary Consultant in Public Health Medicine with Public Health Wales.

Project 6 (Investigating the association between IQ and self-harm):(see HRA CAG 14/CAG/1032)

Findings will be published in academic publications topical to the condition and/or epidemiological methods (e.g. BMC Medical Research Methodology). The researchers will work with Professor Gunnell to ensure wide dissemination of study findings within relevant NHS community (see Project 4).

Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records):(supported by ECC1/05(b)/2012)

Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Understanding will be disseminated via the Medical Research Council and Asthma UK funded STELAR asthma research consortium. Findings will help support research by the Medical Research Council and Natural Environment Research Council ERICA study that will assess associations between traffic pollution exposure and asthma outcomes in ALSPAC index children. The findings will support Prof. Henderson’s programme of work, as a part of which he was a lead contributor to the Royal College of Physicians ‘Every Breath We Take’ report into the lifelong impacts of air pollution (https://www.rcplondon.ac.uk/file/2914/download?token=qjVXtDGo).

Project 8 (Antecedent factors predictive of later ear disease): (supported by ECC1/05(b)/2012)

The Senior Research Associate in Medical Statistics and the Professor of Community Child Health will use the data to conduct the research evaluation. Clinical expertise will be provided by a Research Fellow in Social and Community Medicine and a Lecturer/NHS ENT surgeon, neither of whom will be provided with access to the data. Academic findings will be published in journals (e.g. International Journal of Audiology, BMJ Open, PLoS ONE). Study findings will be disseminated via the ENT liaison with the local CCGs Clinical Policy Review Groups. On a national level the ENT Specialty Lead for the NIHR Clinical Research Network: West of England will disseminate via the ENT National specialty group.

Project 9 (parental and child alcohol use and later criminality and injury outcomes): (supported by ECC1/05(b)/2012)

This work has been funded by the UK Medical Research Council and findings will be disseminated through academic routes (i.e. public health and health practitioner journals such as the BMJ as well as conferences such as the Society of Academic Primary Care), press releases and feedback to Department of Health policy makers. The Director of the NHS Bristol Health Partners ‘Drug and Alcohol’ Health Impact Team and will feed findings through into local care providers via this network.

Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status): (supported by ECC1/05(b)/2012)

Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. University of Bristol will publish the findings in relevant academic journals (e.g., Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). University of Bristol will disseminate relevant project findings to charities (e.g., NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Benefits reported

University of Bristol received the data in late August 18 and are still processing and documenting it. Applied analysis is due to start in early 2019. There have been data quality issues with the HES data received - a full resupply will be given, so that correct analysis can be taken. Therefore no yielded benefits have been realised.

DARS-NIC-152414-W3P6Q-v3.21 4 April 2024 to 3 April 2027
Title
Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC)
Commercial
No
Sublicensing
No
Datasets
13
Files released
0

Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Emergency Care Data Set (ECDS); Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); Mental Health Services Data Set (MHSDS); MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report

What changed from DARS-NIC-152414-W3P6Q-v2.6

Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.

Fields changed from DARS-NIC-152414-W3P6Q-v2.6
FieldWasBecame
TitleMR1048b Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC) with for the ‘Children’ aspect onlyContinuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC)
Start date2022-01-012024-04-04
End date2022-12-312027-04-03
Hospital Episode Statistics Accident and Emergency (HES A and E): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Accident and Emergency (HES A and E): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
Hospital Episode Statistics Admitted Patient Care (HES APC): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Admitted Patient Care (HES APC): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
Hospital Episode Statistics Critical Care (HES Critical Care): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Critical Care (HES Critical Care): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
Hospital Episode Statistics Outpatients (HES OP): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Hospital Episode Statistics Outpatients (HES OP): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
MRIS - Cohort Event Notification Report: legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
MRIS - Cohort Event Notification Report: common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
MRIS - Flagging Current Status Report: legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
MRIS - Flagging Current Status Report: common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
Mental Health Minimum Data Set (MHMDS): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Mental Health Minimum Data Set (MHMDS): sensitivityNon-SensitiveSensitive
Mental Health Minimum Data Set (MHMDS): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006
Mental Health and Learning Disabilities Data Set (MHLDDS): legal basisHealth and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c)
Mental Health and Learning Disabilities Data Set (MHLDDS): common law duty of confidentialitySection 251 NHS Act 2006Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006

Datasets: + Cancer Registration Data; + Civil Registrations of Death; + Demographics; + Emergency Care Data Set (ECDS); + Mental Health Services Data Set (MHSDS)

Processing activities

[48 paragraphs unchanged] None of the data requested will be linked with any other data, [14 words unchanged] made to re-identify individuals from the the previous extract of consenting index children children.

Unchanged: Objective for processing, Expected output, Expected measurable benefits, Benefits reported.

Objective for processing

ALSPAC is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS Digital). ALSPAC is part of the Population Health Science group within the Bristol Medical School at the University of Bristol. Over £100m has been invested into ALSPAC by UK funding councils, charities (e.g. Wellcome Trust, British Heart Foundation, Asthma UK, Cancer UK), the NHS NHIR and directly from UK Government Departments. ALSPACs primary funding comes from the Wellcome Trust, The Medical Research Council and the University of Bristol.

The study seeks approval to link to, extract and use NHS Digital data (Flagging and Tracing, HES and MHSDS) to inform a set of specific research investigations (listed below). These are specific questions – that require linked data - that have arisen from existing work, are led by University of Bristol investigators and are tied to health service improvements (as described later in the application).

The Avon Longitudinal Study of Parents And their Children (ALSPAC), popularly known as “Children of the 90s”,

enrolled pregnant women in the early 1990s into a study which has followed the health and development of the

resulting children and their parents/carers for nearly twenty years. These children are now adults.  ALSPAC will work to continue to collect data from the young people and their parents, as well as seeking to extend enrollment to the offspring of the study children: the third generation of the ALSPAC cohort.

This DSA is supported by Section 251 (s251) support for other participants.

When reviewing the application for s251 the Health Research Authority’s Confidentiality Advisory Committee (CAG) recommended that the conditions attached to the support should differ depending on the sensitivity of the data in question. Health data (which are all considered sensitive within the Data Protection Act) were considered to be either ‘sensitive’ or having ‘particular sensitivity’. It was considered that health records relating to Mental Health, Sexual Health and termination of pregnancy should all be considered as being particularly sensitive. This means the s251 legal basis differs between records of standard sensitivity (e.g. A&E admission for a broken bone) and those with particular sensitivity (e.g. admission for psychiatric disorder). The ‘primary application’ provides support to access and use all records with a standard sensitivity.

Primary application reference: ECC 1-05(b)/2012 – ALSPAC Study Young Adults: Enrolment and Consent for Record Linkage (Lead: Macleod);

The s251 support from this primary application is conditional on the particularly sensitive records being excluded from the extraction (e.g. those relating to mental or sexual health conditions cannot be extracted). However, this condition can be overridden by subsequent supporting applications, which justify at a project level the case for ALSPAC to access particularly sensitive records. Within each of these applications the researchers request support to extract and use a range of particularly sensitive records. ALSPAC have received s251 support for five of these supporting applications.

Supporting applications:

CAG 7-06(a)/2013 – Accuracy of estimates for selfharm

14/CAG/1032 – Association between IQ and selfharm

15/CAG/0175 – Early life causes of depression and anxiety

15/CAG/0176 – Predictors, prevalence and impact of chlamydia

15/CAG/0177 – Substance use and mental health

To accommodate the filtering needed for s251 cases (both to remove certain particularly sensitive records and national patient objectors) the ‘pipelines’ have been split in the flow diagram and narrative description between MR1048a: consent (applied for under a separate agreement), and, MR1048b: s251.

ALSPAC participants are free to object to the studies use of their records in this way at any time. Records of objections are stored in the central ALSPAC database. ALSPAC will ensure that objectors wishes are upheld and they will not be included in the list of MR1048b participants for whom records are requested.

ALSPAC received flagging and tracing extracts for many years. Also, in 2013, ALSPAC received an extract of HES records for ~3,000 consented index children . This extract was envisaged to be a technical pilot and to investigate exemplar hypotheses.

ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS Digital data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); through clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’).

A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

Specific purposes

Linked health record extracts are requested to inform investigations into the following 10 questions:

1. The effect of substance use in adolescence on mental health (see HRA CAG 15/CAG/0177)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff).

HES and MHSDS data will be used, along with GP data, to investigate the association between mental health outcomes in young people and substance use in adolescence. ALSPAC will consider the use of three of the most widely used substances (alcohol, cannabis and tobacco), and their association with a diagnosis of a mental or psychological disorder in general, and specifically a clinical diagnosis of mood disorder (e.g. depression), anxiety or psychotic disorder (e.g. schizophrenia). ALSPAC collected data will provide information on substance use exposure and NHS Digital and GP data will provide objective assessments of mental health outcomes. NHS Digital and GP data may be used (where possible) to assess reporting accuracy within the self-reported data and to inform strategies to deal with missing data. This research will improve understanding of the risks of substance use, and the patterns of health service use for young people with mental health problems.

2. Chlamydia testing, infection, and sequelae in young people (see HRA CAG 15/CAG/0176)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care.

ALSPAC will use HES data, along with GP records, to examine which factors influence Chlamydia testing, infection, and sequelae in young people. HES records will be used in the identification of pelvic inflammatory disease, ectopic pregnancy and reduced fertility amongst female ALSPAC participants with different evidence of exposure to Chlamydia (only negative tests, any positive tests, no evidence of testing). Reduced fertility will also be considered for male participants.

3. Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response (covered by CAG ECC 1-05(b)/2012)

Investigators: Data Linkage and Information Security Manager, Senior Research Associate, Research Associate in Statistics/Epidemiology and Data Manager (PEARL) (all full University of Bristol employees)

ALSPAC will investigate and describe 1) the reliability and validity of self-reported hospital admissions and those recorded in HES and MHSDS and 2) assess if individuals with adverse health status profiles are more likely to be missing from study follow-up assessments. This is methodological work which will support interpretation of ALSPAC data in other research projects (including the studies listed in this application) and also to support wider understanding and interpretation of bias in self-reported health status (e.g. in the NHS Survey of Mental Health and Wellbeing). This is increasingly important as ‘Big Data’ approaches in contemporary Data Science are being used to inform health policy development through the analysis of combined study data and routine records.

4. Investigating the accuracy of current estimates of self-harm (See HRA CAG 7-06(a)/2013)

Investigators: Professor of Epidemiology, Research Fellow, Senior Research Fellow (all full University of Bristol employees)

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported self-harm in the community (exploring the impact of non-response bias and mis-reporting) b) the long-term risk of hospital admission for self-harm in those self-harming in the community. This information is of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice.

5. Early life causes of adolescent depression and anxiety (See HRA CAG 15/CAG/0175)

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain accurate estimates of the association between maternal smoking and binge drinking during pregnancy and depression and anxiety in late adolescence and to investigate how (a) nonresponse and (b) misreporting in questionnaires affects estimates of this association. GP data will be used to provide depression and anxiety data for those individuals for whom University of Bristol do not have self-reported information (just over 65% of the cohort). The secondary objective is to obtain accurate estimates of the prevalence of depression and anxiety in late adolescence.

6. Investigating the association between IQ and self-harm (see HRA CAG 14/CAG/1032).

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain a more accurate estimate of the association between IQ and suicidal and non-suicidal Self-harm among adolescents and to investigate how (a) nonresponse and (b) underreporting in questionnaires affects estimates of this association. GP, hospital admissions and A&E data will be used to provide self-harm data for those for whom self-reported information is unavailable. The GP and hospital data will also be used to correct for any underreporting. The secondary research objective is to examine the extent to which adolescents seek GP help for self-harm and suicidal feelings.

7. Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records (supported by ECC 1-05(b)/2012)

Investigators: Senior Research Associate, Data Linkage and Information Security Manager, Professor in Clinical Epidemiology and Primary Care, Professor of Paediatric Respiratory Medicine, Research Fellow (all University of Bristol contracted staff).

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported asthma in the community (exploring the impact of non-response bias and mis-reporting) and b) to calculate the extent of asthma severity from recorded hospital attendance/admissions as well as primary care emergency visits and treatment steps. There is concern that asthma may be socially patterned and that it is known that key exposure and confounders collected through observational studies certainly are. Therefore the concern is that assumptions made about the associations and confounding structures of relationships between environmental exposures and asthma outcomes may not be valid. Insights into the accuracy of ALSPAC self-reported and study clinic assessed asthma and the severity of asthmas will support the investigations into the genetic and environmental influences of asthma and current work into the impact of traffic pollution on asthma. ALSPAC will investigate i) the natural history of early wheeze in relation to later asthma outcomes; 2) the relationships between early wheezing and later clinical records to determine if a ‘severe asthma’ profile can be detected in early childhood; 3) compare the impact of smoking and biomarker data from ALSPAC and respiratory function; 4) investigate the relationships between childhood infections and wheezing phenotypes with asthma and lung function in later childhood. This may help confirm an association (identified elsewhere between early respiratory infection and decreased lung-function during childhood that may be antecedent to adult respiratory morbidity and possibly mortality; and, 5) investigate the relationships between treatment for asthmas in primary care, adherence to treatment and outcomes of asthma and lung function in later childhood and early adulthood.

8. Antecedent factors predictive of later ear disease (covered by CAG ECC 1-05(b)/2012)

Project: Serious ear disease in later childhood and adulthood is distressing and burdensome on those effected and incurs treatment costs on the NHS. This project will investigate whether early signs of ear disease identified in ALSPAC at age 9 (categorised from photographs of the ear drum) are predictive of the development of serious ear disease requiring hospital treatment in later childhood and adulthood (as identified through HES).

9. Parental and child alcohol use and later child criminality and injury outcomes (covered by CAG ECC 1-05(b)/2012)

The impact of parental and child alcohol use on child health and education is unclear, and have possible societal and service provider costs. ALSPAC has multi informant measures of parental alcohol use reported by the mothers and partners during pregnancy and throughout childhood (allowing comparison of maternal and paternal effects). ALSPAC have also collected child self-reported alcohol use and family-reported measures of child criminal and anti-social behaviour. These self-reported measures will be used to help understand associations between alcohol use and child outcomes including child alcohol use, criminal and antisocial behaviour and injury. As part of this investigation linked HES records will be used to contribute information on hospital admission (with codes related to injury linked to external causes of morbidity, i.e. alcohol) and attendance at A&E due to accidents and injuries.

10. Patterns of engagement with health and education services as predictors of child looked-after or in-need status (covered by CAG ECC 1-05(b)/2012).

HES data will be used, along with ALSPAC self-reported data and education records (e.g. attendance rates) and extracted general practice data, to examine whether patterns of health service engagement (e.g. missed routine appointments, regular attendance at A&E or out-of-hours services, receipt of care for accidental injuries) are useful predictors of a child becoming in need or looked-after. ALSPAC are engaged with the nascent National Child Looked After Observatory and local (Bristol) safeguarding teams in order to effectively disseminate the findings. Findings will also be published in appropriate academic journals and through conferences and local workshops (in partnership with the South West BRC, NHS CLHARC West and Bristol Health Partners).

As described above, this study is of great public and scientific interest. This work therefore relies on Articles 6(1)e (processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller) and 9(2)j (processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes) as the GDPR legal basis for processing the data disseminated under this Agreement.

The University of Bristol is the sole Data Controller under this Agreement; no other organisations have any involvement in determining the purpose for which the data supplied under this Agreement is used. ALSPAC make use of a secure research infrastructure developed to support the SAIL databank of Welsh routine health and administrative records by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea is the Data Processor working to instruction from the University of Bristol who is the Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS Digital). Therefore, the University of Swansea are listed as the sole Data Processor under this Agreement.

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings of the dissemination via journal articles will be constrained by the nature of the peer-review system. ALSPAC employ dedicated communications experts to assist with dissemination and engagement. Public and professional publicity (e.g., press releases, twitter posts, newsletter and Facebook articles) will be coordinated with the publication of findings. Dissemination via conferences and workshops will occur throughout the project period using interim results. For all the investigations, ALSPAC are committed to feeding back findings to participants. Participants will be informed through the ALSPAC print and social media newsletters. ALSPAC have a strong track record of running study engagement events which are designed with input from participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g., http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of public lectures in Bristol. Periodically the study produces a book (e.g. http://www.bristol.ac.uk/alspac/go/21st-book/) or YouTube videos (https://www.youtube.com/user/children90s) that describe findings and how participant data is used. ALSPAC works with national and local media to disseminate findings, along with local attractions such as the MSHED museum of Bristol Life. Study findings from the applications described in this application will be incorporated into future activities.

ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g., https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through University of Bristol's press-release system (http://www.bristol.ac.uk/alspac/news/) and via newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s)

The specific project level dissemination plans are:

Project 1 (The effect of substance use in adolescence on mental health):(See HRA CAG-15/CAG/0177)

The findings will be disseminated through appropriate epidemiological and public health academic journals (e.g. Addiction, International Journal of Epidemiology, Epidemiology, Wellcome Open) and findings (including interim results) at conferences (e.g. Society Academic Primary Care, MRC Farr Institute). ALSPAC will also work with members of the NHS Bristol Health Impact Team to feed findings to local service providers.

Project 2 (Chlamydia testing, infection, and sequelae in young people): (see HRA CAG 15/CAG/0176)

This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. Findings will be published in an appropriate epidemiology journals or those dedicated to sexual health fgindings (e.g. International Journal of Sexual Health). The Senior Research Associate will lead professional dissemination based on understandings gained from his role as the Deputy Chair of the NICE Public Health Advisory Committee (PHAC-F), a committee responsible for the development of NICE public health guidance and is the Director of the NHS Bristol Health Partners sexual health for population and patients’ health integration team.

Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response):(see ECC1/05(b)/2012)

Insights from this work will be published in an appropriate epidemiology/survey methods journal (e.g. Society of Longitudinal and Life Course Studies, BMC Medical Research Methodology, Survey Research Methods), at similar conferences and via ALSPAC study website and the CLOSER longitudinal research consortium website. To ensure this information is fedback to the NHS ALSPAC will send the project findings to the Care Quality Commission ‘Survey Coordination Centre’ who facilitate NHS Surveys.

Project 4 (Investigating the accuracy of current estimates of self-harm):(see HRA CAG 7-06(a)/2013 )

Results from the study will be published in a suitable epidemiology/psychiatry journal and via the ALSPAC study website. Preliminary work (based on those participants who provided consent to link their data with medical records) has been published in Archives of Suicide Research (http://dx.doi.org/10.1080/13811118.2015.1033121), and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce (https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). To ensure this information is fed back to the NHS ALSPAC will communicate the project findings to the Bristol Health Partners ‘Improving Care in Self-Harm’ STITCH Health Integration Team. Professor David Gunnell (The project PI) is the academic lead for STITCH. DG is also a member of both England’s and Bristol’s Suicide Prevention Advisory Groups and works closely with Public Health England, and will feed back relevant findings into NHS and Public health strategy.

Project 5 (Early life causes of adolescent depression and anxiety): (see HRA CAG 15/CAG/0175)

Outputs will be published in academic journals (e.g. BMJOpen, International Journal of Epidemiology) and will inform methodological understanding of self-reported and public policy development. The Investigators will work with Prof. Ann John (University of Swansea, who will not have access to the data) to disseminate findings; Prof. John chairs the National Advisory Group to Welsh Government on Suicide and Self harm prevention and is honorary Consultant in Public Health Medicine with Public Health Wales.

Project 6 (Investigating the association between IQ and self-harm):(see HRA CAG 14/CAG/1032)

Findings will be published in academic publications topical to the condition and/or epidemiological methods (e.g. BMC Medical Research Methodology). The researchers will work with Professor Gunnell to ensure wide dissemination of study findings within relevant NHS community (see Project 4).

Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records):(supported by ECC1/05(b)/2012)

Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Understanding will be disseminated via the Medical Research Council and Asthma UK funded STELAR asthma research consortium. Findings will help support research by the Medical Research Council and Natural Environment Research Council ERICA study that will assess associations between traffic pollution exposure and asthma outcomes in ALSPAC index children. The findings will support Prof. Henderson’s programme of work, as a part of which he was a lead contributor to the Royal College of Physicians ‘Every Breath We Take’ report into the lifelong impacts of air pollution (https://www.rcplondon.ac.uk/file/2914/download?token=qjVXtDGo).

Project 8 (Antecedent factors predictive of later ear disease): (supported by ECC1/05(b)/2012)

The Senior Research Associate in Medical Statistics and the Professor of Community Child Health will use the data to conduct the research evaluation. Clinical expertise will be provided by a Research Fellow in Social and Community Medicine and a Lecturer/NHS ENT surgeon, neither of whom will be provided with access to the data. Academic findings will be published in journals (e.g. International Journal of Audiology, BMJ Open, PLoS ONE). Study findings will be disseminated via the ENT liaison with the local CCGs Clinical Policy Review Groups. On a national level the ENT Specialty Lead for the NIHR Clinical Research Network: West of England will disseminate via the ENT National specialty group.

Project 9 (parental and child alcohol use and later criminality and injury outcomes): (supported by ECC1/05(b)/2012)

This work has been funded by the UK Medical Research Council and findings will be disseminated through academic routes (i.e. public health and health practitioner journals such as the BMJ as well as conferences such as the Society of Academic Primary Care), press releases and feedback to Department of Health policy makers. The Director of the NHS Bristol Health Partners ‘Drug and Alcohol’ Health Impact Team and will feed findings through into local care providers via this network.

Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status): (supported by ECC1/05(b)/2012)

Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. University of Bristol will publish the findings in relevant academic journals (e.g., Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). University of Bristol will disseminate relevant project findings to charities (e.g., NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Benefits reported

University of Bristol received the data in late August 18 and are still processing and documenting it. Applied analysis is due to start in early 2019. There have been data quality issues with the HES data received - a full resupply will be given, so that correct analysis can be taken. Therefore no yielded benefits have been realised.

DARS-NIC-152414-W3P6Q-v2.6 1 January 2022 to 31 December 2022
Title
MR1048b Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC) with for the ‘Children’ aspect only
Commercial
No
Sublicensing
No
Datasets
8
Files released
0

Datasets: Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report

What changed from DARS-NIC-152414-W3P6Q-v1.6

Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.

Fields changed from DARS-NIC-152414-W3P6Q-v1.6
FieldWasBecame
Start date2019-01-012022-01-01
End date2021-12-312022-12-31
Hospital Episode Statistics Accident and Emergency (HES A and E): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Hospital Episode Statistics Admitted Patient Care (HES APC): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Hospital Episode Statistics Critical Care (HES Critical Care): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Hospital Episode Statistics Outpatients (HES OP): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
MRIS - Cohort Event Notification Report: legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
MRIS - Flagging Current Status Report: legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Mental Health Minimum Data Set (MHMDS): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.
Mental Health and Learning Disabilities Data Set (MHLDDS): legal basisHealth and Social Care Act 2012 – s261(7)Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'.

Objective for processing

Background [1 paragraph unchanged] The Study [1 paragraph unchanged] Scope/Cohort [3 paragraphs unchanged] Legal Basis [12 paragraphs unchanged] Previous data extracts [1 paragraph unchanged] Impact on Health and Social care [18 paragraphs unchanged] The main research objective is to obtain accurate estimates of the association [35 words unchanged] used to provide depression and anxiety data for those individuals for whom we University of Bristol do not have self-reported information (just over 65% of the cohort). The [5 words unchanged] accurate estimates of the prevalence of depression and anxiety in late adolescence. [5 paragraphs unchanged] ALSPAC will use the data to investigate a) the accuracy of current [95 words unchanged] and study clinic assessed asthma and the severity of asthmas will support our the investigations into the genetic and environmental influences of asthma and current work [123 words unchanged] outcomes of asthma and lung function in later childhood and early adulthood. [6 paragraphs unchanged] As described above, this study is of great public and scientific interest. This work therefore relies on Articles 6(1)e (processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller) and 9(2)j (processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes) as the GDPR legal basis for processing the data disseminated under this Agreement. The University of Bristol is the sole Data Controller under this Agreement; no other organisations have any involvement in determining the purpose for which the data supplied under this Agreement is used. ALSPAC make use of a secure research infrastructure developed to support the SAIL databank of Welsh routine health and administrative records by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea is the Data Processor working to instruction from the University of Bristol who is the Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS Digital). Therefore, the University of Swansea are listed as the sole Data Processor under this Agreement.

Processing activities

[1 paragraph unchanged] The CAG committee (in ECC 1-05(b)/2012) requested that ALSPAC distinguish between health records with normal sensitivity (e.g. (e.g., relating to a broken leg or having asthma) and those that are [194 words unchanged] in this instance, there is a very wide range of specific events. [3 paragraphs unchanged] ALSPAC will securely provide NHS Digital with separate lists identifying (by Study ID) our MR1048b:s251 participants. The lists will be filtered for up-to-date consent/dissent/withdrawal from ALSPAC status prior to sending. [25 paragraphs unchanged] The researchers with approval to access the ALSPAC HES and MHSDS data [90 words unchanged] Anonymisation Code Of Practice – a separate document is included describing how our University of Bristol's process meets the ICO requirements). Information about these hypotheses – and the [5 words unchanged] from the NHS Digital – will be posted on the study website: [9 paragraphs unchanged] Data Specification: ALSPAC require life-course data from birth (i.e. maternity HES from [70 words unchanged] social care records from NHS Digital and linked records from other providers (e.g. (e.g., national pupil database records). The data request is limited to the cohort participants, but not limited geographically (given that our participants have moved away from the original cohort catchment area). ALSPAC is [15 words unchanged] the s251 approval conditions), but are not filtered for any other reason (i.e. (i.e., a full range of health event information is needed in order to establish health status sequences for our University of Bristol's diverse projects). Information Security: ALSPAC are committed to maintain high standards of information security [51 words unchanged] an NHS IG Toolkit assessment (edition 14: 2016/2017) which scored 97% in our the last assessment. [6 paragraphs unchanged]

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings [19 words unchanged] communications experts to assist with dissemination and engagement. Public and professional publicity (e.g. (e.g., press releases, twitter posts, newsletter and facebook Facebook articles) will be coordinated with the publication of findings. Dissemination via conferences [11 words unchanged] For all the investigations, ALSPAC are committed to feeding back findings to our participants. Participants will be informed through the ALSPAC print and social media [18 words unchanged] participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g. (e.g., http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of [50 words unchanged] the applications described in this application will be incorporated into future activities. ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g. (e.g., https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through our University of Bristol's press-release system (http://www.bristol.ac.uk/alspac/news/) and via our newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s) [20 paragraphs unchanged] Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. We University of Bristol will publish our the findings in relevant academic journals (e.g. (e.g., Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). We University of Bristol will disseminate relevant project findings to charities (e.g. (e.g., NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Expected measurable benefits

[14 paragraphs unchanged] Project 9 (parental and child alcohol use and later criminality and injury [108 words unchanged] challenge of building sufficiently rich and diverse data to inform these investigations. Our The aim is that linked ALSPAC-HES-General Practice-Education records will may inform understanding in this area and allow dissemination via relevant journals, press releases and appropriate networks as outlined in Outputs for Project 9. [2 paragraphs unchanged]

Unchanged: Benefits reported.

Objective for processing

ALSPAC is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS Digital). ALSPAC is part of the Population Health Science group within the Bristol Medical School at the University of Bristol. Over £100m has been invested into ALSPAC by UK funding councils, charities (e.g. Wellcome Trust, British Heart Foundation, Asthma UK, Cancer UK), the NHS NHIR and directly from UK Government Departments. ALSPACs primary funding comes from the Wellcome Trust, The Medical Research Council and the University of Bristol.

The study seeks approval to link to, extract and use NHS Digital data (Flagging and Tracing, HES and MHSDS) to inform a set of specific research investigations (listed below). These are specific questions – that require linked data - that have arisen from existing work, are led by University of Bristol investigators and are tied to health service improvements (as described later in the application).

The Avon Longitudinal Study of Parents And their Children (ALSPAC), popularly known as “Children of the 90s”,

enrolled pregnant women in the early 1990s into a study which has followed the health and development of the

resulting children and their parents/carers for nearly twenty years. These children are now adults.  ALSPAC will work to continue to collect data from the young people and their parents, as well as seeking to extend enrollment to the offspring of the study children: the third generation of the ALSPAC cohort.

This DSA is supported by Section 251 (s251) support for other participants.

When reviewing the application for s251 the Health Research Authority’s Confidentiality Advisory Committee (CAG) recommended that the conditions attached to the support should differ depending on the sensitivity of the data in question. Health data (which are all considered sensitive within the Data Protection Act) were considered to be either ‘sensitive’ or having ‘particular sensitivity’. It was considered that health records relating to Mental Health, Sexual Health and termination of pregnancy should all be considered as being particularly sensitive. This means the s251 legal basis differs between records of standard sensitivity (e.g. A&E admission for a broken bone) and those with particular sensitivity (e.g. admission for psychiatric disorder). The ‘primary application’ provides support to access and use all records with a standard sensitivity.

Primary application reference: ECC 1-05(b)/2012 – ALSPAC Study Young Adults: Enrolment and Consent for Record Linkage (Lead: Macleod);

The s251 support from this primary application is conditional on the particularly sensitive records being excluded from the extraction (e.g. those relating to mental or sexual health conditions cannot be extracted). However, this condition can be overridden by subsequent supporting applications, which justify at a project level the case for ALSPAC to access particularly sensitive records. Within each of these applications the researchers request support to extract and use a range of particularly sensitive records. ALSPAC have received s251 support for five of these supporting applications.

Supporting applications:

CAG 7-06(a)/2013 – Accuracy of estimates for selfharm

14/CAG/1032 – Association between IQ and selfharm

15/CAG/0175 – Early life causes of depression and anxiety

15/CAG/0176 – Predictors, prevalence and impact of chlamydia

15/CAG/0177 – Substance use and mental health

To accommodate the filtering needed for s251 cases (both to remove certain particularly sensitive records and national patient objectors) the ‘pipelines’ have been split in the flow diagram and narrative description between MR1048a: consent (applied for under a separate agreement), and, MR1048b: s251.

ALSPAC participants are free to object to the studies use of their records in this way at any time. Records of objections are stored in the central ALSPAC database. ALSPAC will ensure that objectors wishes are upheld and they will not be included in the list of MR1048b participants for whom records are requested.

ALSPAC received flagging and tracing extracts for many years. Also, in 2013, ALSPAC received an extract of HES records for ~3,000 consented index children . This extract was envisaged to be a technical pilot and to investigate exemplar hypotheses.

ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS Digital data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); through clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’).

A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

Specific purposes

Linked health record extracts are requested to inform investigations into the following 10 questions:

1. The effect of substance use in adolescence on mental health (see HRA CAG 15/CAG/0177)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff).

HES and MHSDS data will be used, along with GP data, to investigate the association between mental health outcomes in young people and substance use in adolescence. ALSPAC will consider the use of three of the most widely used substances (alcohol, cannabis and tobacco), and their association with a diagnosis of a mental or psychological disorder in general, and specifically a clinical diagnosis of mood disorder (e.g. depression), anxiety or psychotic disorder (e.g. schizophrenia). ALSPAC collected data will provide information on substance use exposure and NHS Digital and GP data will provide objective assessments of mental health outcomes. NHS Digital and GP data may be used (where possible) to assess reporting accuracy within the self-reported data and to inform strategies to deal with missing data. This research will improve understanding of the risks of substance use, and the patterns of health service use for young people with mental health problems.

2. Chlamydia testing, infection, and sequelae in young people (see HRA CAG 15/CAG/0176)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care.

ALSPAC will use HES data, along with GP records, to examine which factors influence Chlamydia testing, infection, and sequelae in young people. HES records will be used in the identification of pelvic inflammatory disease, ectopic pregnancy and reduced fertility amongst female ALSPAC participants with different evidence of exposure to Chlamydia (only negative tests, any positive tests, no evidence of testing). Reduced fertility will also be considered for male participants.

3. Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response (covered by CAG ECC 1-05(b)/2012)

Investigators: Data Linkage and Information Security Manager, Senior Research Associate, Research Associate in Statistics/Epidemiology and Data Manager (PEARL) (all full University of Bristol employees)

ALSPAC will investigate and describe 1) the reliability and validity of self-reported hospital admissions and those recorded in HES and MHSDS and 2) assess if individuals with adverse health status profiles are more likely to be missing from study follow-up assessments. This is methodological work which will support interpretation of ALSPAC data in other research projects (including the studies listed in this application) and also to support wider understanding and interpretation of bias in self-reported health status (e.g. in the NHS Survey of Mental Health and Wellbeing). This is increasingly important as ‘Big Data’ approaches in contemporary Data Science are being used to inform health policy development through the analysis of combined study data and routine records.

4. Investigating the accuracy of current estimates of self-harm (See HRA CAG 7-06(a)/2013)

Investigators: Professor of Epidemiology, Research Fellow, Senior Research Fellow (all full University of Bristol employees)

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported self-harm in the community (exploring the impact of non-response bias and mis-reporting) b) the long-term risk of hospital admission for self-harm in those self-harming in the community. This information is of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice.

5. Early life causes of adolescent depression and anxiety (See HRA CAG 15/CAG/0175)

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain accurate estimates of the association between maternal smoking and binge drinking during pregnancy and depression and anxiety in late adolescence and to investigate how (a) nonresponse and (b) misreporting in questionnaires affects estimates of this association. GP data will be used to provide depression and anxiety data for those individuals for whom University of Bristol do not have self-reported information (just over 65% of the cohort). The secondary objective is to obtain accurate estimates of the prevalence of depression and anxiety in late adolescence.

6. Investigating the association between IQ and self-harm (see HRA CAG 14/CAG/1032).

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain a more accurate estimate of the association between IQ and suicidal and non-suicidal Self-harm among adolescents and to investigate how (a) nonresponse and (b) underreporting in questionnaires affects estimates of this association. GP, hospital admissions and A&E data will be used to provide self-harm data for those for whom self-reported information is unavailable. The GP and hospital data will also be used to correct for any underreporting. The secondary research objective is to examine the extent to which adolescents seek GP help for self-harm and suicidal feelings.

7. Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records (supported by ECC 1-05(b)/2012)

Investigators: Senior Research Associate, Data Linkage and Information Security Manager, Professor in Clinical Epidemiology and Primary Care, Professor of Paediatric Respiratory Medicine, Research Fellow (all University of Bristol contracted staff).

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported asthma in the community (exploring the impact of non-response bias and mis-reporting) and b) to calculate the extent of asthma severity from recorded hospital attendance/admissions as well as primary care emergency visits and treatment steps. There is concern that asthma may be socially patterned and that it is known that key exposure and confounders collected through observational studies certainly are. Therefore the concern is that assumptions made about the associations and confounding structures of relationships between environmental exposures and asthma outcomes may not be valid. Insights into the accuracy of ALSPAC self-reported and study clinic assessed asthma and the severity of asthmas will support the investigations into the genetic and environmental influences of asthma and current work into the impact of traffic pollution on asthma. ALSPAC will investigate i) the natural history of early wheeze in relation to later asthma outcomes; 2) the relationships between early wheezing and later clinical records to determine if a ‘severe asthma’ profile can be detected in early childhood; 3) compare the impact of smoking and biomarker data from ALSPAC and respiratory function; 4) investigate the relationships between childhood infections and wheezing phenotypes with asthma and lung function in later childhood. This may help confirm an association (identified elsewhere between early respiratory infection and decreased lung-function during childhood that may be antecedent to adult respiratory morbidity and possibly mortality; and, 5) investigate the relationships between treatment for asthmas in primary care, adherence to treatment and outcomes of asthma and lung function in later childhood and early adulthood.

8. Antecedent factors predictive of later ear disease (covered by CAG ECC 1-05(b)/2012)

Project: Serious ear disease in later childhood and adulthood is distressing and burdensome on those effected and incurs treatment costs on the NHS. This project will investigate whether early signs of ear disease identified in ALSPAC at age 9 (categorised from photographs of the ear drum) are predictive of the development of serious ear disease requiring hospital treatment in later childhood and adulthood (as identified through HES).

9. Parental and child alcohol use and later child criminality and injury outcomes (covered by CAG ECC 1-05(b)/2012)

The impact of parental and child alcohol use on child health and education is unclear, and have possible societal and service provider costs. ALSPAC has multi informant measures of parental alcohol use reported by the mothers and partners during pregnancy and throughout childhood (allowing comparison of maternal and paternal effects). ALSPAC have also collected child self-reported alcohol use and family-reported measures of child criminal and anti-social behaviour. These self-reported measures will be used to help understand associations between alcohol use and child outcomes including child alcohol use, criminal and antisocial behaviour and injury. As part of this investigation linked HES records will be used to contribute information on hospital admission (with codes related to injury linked to external causes of morbidity, i.e. alcohol) and attendance at A&E due to accidents and injuries.

10. Patterns of engagement with health and education services as predictors of child looked-after or in-need status (covered by CAG ECC 1-05(b)/2012).

HES data will be used, along with ALSPAC self-reported data and education records (e.g. attendance rates) and extracted general practice data, to examine whether patterns of health service engagement (e.g. missed routine appointments, regular attendance at A&E or out-of-hours services, receipt of care for accidental injuries) are useful predictors of a child becoming in need or looked-after. ALSPAC are engaged with the nascent National Child Looked After Observatory and local (Bristol) safeguarding teams in order to effectively disseminate the findings. Findings will also be published in appropriate academic journals and through conferences and local workshops (in partnership with the South West BRC, NHS CLHARC West and Bristol Health Partners).

As described above, this study is of great public and scientific interest. This work therefore relies on Articles 6(1)e (processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller) and 9(2)j (processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes) as the GDPR legal basis for processing the data disseminated under this Agreement.

The University of Bristol is the sole Data Controller under this Agreement; no other organisations have any involvement in determining the purpose for which the data supplied under this Agreement is used. ALSPAC make use of a secure research infrastructure developed to support the SAIL databank of Welsh routine health and administrative records by contracting the University of Swansea to provide a copy of the infrastructure to host ALSPAC data and data linked to ALSPAC. In this contractual arrangement, the University of Swansea is the Data Processor working to instruction from the University of Bristol who is the Data Controller (the contract will bind the University of Swansea to the same conditions (where relevant) as the University of Bristol have agreed to in their contract with the NHS Digital). Therefore, the University of Swansea are listed as the sole Data Processor under this Agreement.

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings of the dissemination via journal articles will be constrained by the nature of the peer-review system. ALSPAC employ dedicated communications experts to assist with dissemination and engagement. Public and professional publicity (e.g., press releases, twitter posts, newsletter and Facebook articles) will be coordinated with the publication of findings. Dissemination via conferences and workshops will occur throughout the project period using interim results. For all the investigations, ALSPAC are committed to feeding back findings to participants. Participants will be informed through the ALSPAC print and social media newsletters. ALSPAC have a strong track record of running study engagement events which are designed with input from participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g., http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of public lectures in Bristol. Periodically the study produces a book (e.g. http://www.bristol.ac.uk/alspac/go/21st-book/) or YouTube videos (https://www.youtube.com/user/children90s) that describe findings and how participant data is used. ALSPAC works with national and local media to disseminate findings, along with local attractions such as the MSHED museum of Bristol Life. Study findings from the applications described in this application will be incorporated into future activities.

ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g., https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through University of Bristol's press-release system (http://www.bristol.ac.uk/alspac/news/) and via newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s)

The specific project level dissemination plans are:

Project 1 (The effect of substance use in adolescence on mental health):(See HRA CAG-15/CAG/0177)

The findings will be disseminated through appropriate epidemiological and public health academic journals (e.g. Addiction, International Journal of Epidemiology, Epidemiology, Wellcome Open) and findings (including interim results) at conferences (e.g. Society Academic Primary Care, MRC Farr Institute). ALSPAC will also work with members of the NHS Bristol Health Impact Team to feed findings to local service providers.

Project 2 (Chlamydia testing, infection, and sequelae in young people): (see HRA CAG 15/CAG/0176)

This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. Findings will be published in an appropriate epidemiology journals or those dedicated to sexual health fgindings (e.g. International Journal of Sexual Health). The Senior Research Associate will lead professional dissemination based on understandings gained from his role as the Deputy Chair of the NICE Public Health Advisory Committee (PHAC-F), a committee responsible for the development of NICE public health guidance and is the Director of the NHS Bristol Health Partners sexual health for population and patients’ health integration team.

Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response):(see ECC1/05(b)/2012)

Insights from this work will be published in an appropriate epidemiology/survey methods journal (e.g. Society of Longitudinal and Life Course Studies, BMC Medical Research Methodology, Survey Research Methods), at similar conferences and via ALSPAC study website and the CLOSER longitudinal research consortium website. To ensure this information is fedback to the NHS ALSPAC will send the project findings to the Care Quality Commission ‘Survey Coordination Centre’ who facilitate NHS Surveys.

Project 4 (Investigating the accuracy of current estimates of self-harm):(see HRA CAG 7-06(a)/2013 )

Results from the study will be published in a suitable epidemiology/psychiatry journal and via the ALSPAC study website. Preliminary work (based on those participants who provided consent to link their data with medical records) has been published in Archives of Suicide Research (http://dx.doi.org/10.1080/13811118.2015.1033121), and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce (https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). To ensure this information is fed back to the NHS ALSPAC will communicate the project findings to the Bristol Health Partners ‘Improving Care in Self-Harm’ STITCH Health Integration Team. Professor David Gunnell (The project PI) is the academic lead for STITCH. DG is also a member of both England’s and Bristol’s Suicide Prevention Advisory Groups and works closely with Public Health England, and will feed back relevant findings into NHS and Public health strategy.

Project 5 (Early life causes of adolescent depression and anxiety): (see HRA CAG 15/CAG/0175)

Outputs will be published in academic journals (e.g. BMJOpen, International Journal of Epidemiology) and will inform methodological understanding of self-reported and public policy development. The Investigators will work with Prof. Ann John (University of Swansea, who will not have access to the data) to disseminate findings; Prof. John chairs the National Advisory Group to Welsh Government on Suicide and Self harm prevention and is honorary Consultant in Public Health Medicine with Public Health Wales.

Project 6 (Investigating the association between IQ and self-harm):(see HRA CAG 14/CAG/1032)

Findings will be published in academic publications topical to the condition and/or epidemiological methods (e.g. BMC Medical Research Methodology). The researchers will work with Professor Gunnell to ensure wide dissemination of study findings within relevant NHS community (see Project 4).

Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records):(supported by ECC1/05(b)/2012)

Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Understanding will be disseminated via the Medical Research Council and Asthma UK funded STELAR asthma research consortium. Findings will help support research by the Medical Research Council and Natural Environment Research Council ERICA study that will assess associations between traffic pollution exposure and asthma outcomes in ALSPAC index children. The findings will support Prof. Henderson’s programme of work, as a part of which he was a lead contributor to the Royal College of Physicians ‘Every Breath We Take’ report into the lifelong impacts of air pollution (https://www.rcplondon.ac.uk/file/2914/download?token=qjVXtDGo).

Project 8 (Antecedent factors predictive of later ear disease): (supported by ECC1/05(b)/2012)

The Senior Research Associate in Medical Statistics and the Professor of Community Child Health will use the data to conduct the research evaluation. Clinical expertise will be provided by a Research Fellow in Social and Community Medicine and a Lecturer/NHS ENT surgeon, neither of whom will be provided with access to the data. Academic findings will be published in journals (e.g. International Journal of Audiology, BMJ Open, PLoS ONE). Study findings will be disseminated via the ENT liaison with the local CCGs Clinical Policy Review Groups. On a national level the ENT Specialty Lead for the NIHR Clinical Research Network: West of England will disseminate via the ENT National specialty group.

Project 9 (parental and child alcohol use and later criminality and injury outcomes): (supported by ECC1/05(b)/2012)

This work has been funded by the UK Medical Research Council and findings will be disseminated through academic routes (i.e. public health and health practitioner journals such as the BMJ as well as conferences such as the Society of Academic Primary Care), press releases and feedback to Department of Health policy makers. The Director of the NHS Bristol Health Partners ‘Drug and Alcohol’ Health Impact Team and will feed findings through into local care providers via this network.

Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status): (supported by ECC1/05(b)/2012)

Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. University of Bristol will publish the findings in relevant academic journals (e.g., Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). University of Bristol will disseminate relevant project findings to charities (e.g., NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Benefits reported

University of Bristol received the data in late August 18 and are still processing and documenting it. Applied analysis is due to start in early 2019. There have been data quality issues with the HES data received - a full resupply will be given, so that correct analysis can be taken. Therefore no yielded benefits have been realised.

DARS-NIC-152414-W3P6Q-v1.6 1 January 2019 to 31 December 2021
Title
MR1048b Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC) with for the ‘Children’ aspect only
Commercial
No
Sublicensing
No
Datasets
8
Files released
196

Datasets: Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Critical Care (HES Critical Care); Hospital Episode Statistics Outpatients (HES OP); Mental Health and Learning Disabilities Data Set (MHLDDS); Mental Health Minimum Data Set (MHMDS); MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report

Objective for processing

Background

ALSPAC is a transgenerational prospective birth cohort study that recruited women during pregnancy in the early 1990s. ALSPAC is designed to investigate influences on health, wellbeing and development across the life course. To inform these investigations ALSPAC collects information on genetic, epigenetic, biological, psychological, social and environmental exposures and a similar range of health, social and developmental outcomes. ALSPACs primary objective is to manage a long-term relationship with the study families and through this to build a DataBank resource that can be used to inform the investigation of diverse health and social hypotheses across the life course. To achieve this objective, data are collected through postal questionnaires, study clinical assessments, the collection of biological samples and through linkage to routinely collected health and social administrative records (including those held by the NHS Digital). ALSPAC is part of the Population Health Science group within the Bristol Medical School at the University of Bristol. Over £100m has been invested into ALSPAC by UK funding councils, charities (e.g. Wellcome Trust, British Heart Foundation, Asthma UK, Cancer UK), the NHS NHIR and directly from UK Government Departments. ALSPACs primary funding comes from the Wellcome Trust, The Medical Research Council and the University of Bristol.

The Study

The study seeks approval to link to, extract and use NHS Digital data (Flagging and Tracing, HES and MHSDS) to inform a set of specific research investigations (listed below). These are specific questions – that require linked data - that have arisen from existing work, are led by University of Bristol investigators and are tied to health service improvements (as described later in the application).

Scope/Cohort

The Avon Longitudinal Study of Parents And their Children (ALSPAC), popularly known as “Children of the 90s”,

enrolled pregnant women in the early 1990s into a study which has followed the health and development of the

resulting children and their parents/carers for nearly twenty years. These children are now adults.  ALSPAC will work to continue to collect data from the young people and their parents, as well as seeking to extend enrollment to the offspring of the study children: the third generation of the ALSPAC cohort.

Legal Basis

This DSA is supported by Section 251 (s251) support for other participants.

When reviewing the application for s251 the Health Research Authority’s Confidentiality Advisory Committee (CAG) recommended that the conditions attached to the support should differ depending on the sensitivity of the data in question. Health data (which are all considered sensitive within the Data Protection Act) were considered to be either ‘sensitive’ or having ‘particular sensitivity’. It was considered that health records relating to Mental Health, Sexual Health and termination of pregnancy should all be considered as being particularly sensitive. This means the s251 legal basis differs between records of standard sensitivity (e.g. A&E admission for a broken bone) and those with particular sensitivity (e.g. admission for psychiatric disorder). The ‘primary application’ provides support to access and use all records with a standard sensitivity.

Primary application reference: ECC 1-05(b)/2012 – ALSPAC Study Young Adults: Enrolment and Consent for Record Linkage (Lead: Macleod);

The s251 support from this primary application is conditional on the particularly sensitive records being excluded from the extraction (e.g. those relating to mental or sexual health conditions cannot be extracted). However, this condition can be overridden by subsequent supporting applications, which justify at a project level the case for ALSPAC to access particularly sensitive records. Within each of these applications the researchers request support to extract and use a range of particularly sensitive records. ALSPAC have received s251 support for five of these supporting applications.

Supporting applications:

CAG 7-06(a)/2013 – Accuracy of estimates for selfharm

14/CAG/1032 – Association between IQ and selfharm

15/CAG/0175 – Early life causes of depression and anxiety

15/CAG/0176 – Predictors, prevalence and impact of chlamydia

15/CAG/0177 – Substance use and mental health

To accommodate the filtering needed for s251 cases (both to remove certain particularly sensitive records and national patient objectors) the ‘pipelines’ have been split in the flow diagram and narrative description between MR1048a: consent (applied for under a separate agreement), and, MR1048b: s251.

ALSPAC participants are free to object to the studies use of their records in this way at any time. Records of objections are stored in the central ALSPAC database. ALSPAC will ensure that objectors wishes are upheld and they will not be included in the list of MR1048b participants for whom records are requested.

Previous data extracts

ALSPAC received flagging and tracing extracts for many years. Also, in 2013, ALSPAC received an extract of HES records for ~3,000 consented index children . This extract was envisaged to be a technical pilot and to investigate exemplar hypotheses.

Impact on Health and Social care

ALSPAC work with NHS clinicians and advisors in a range of disciplines. Current projects include work conducted with: Director of the National Chlamydia Screening Programme, NHS ‘Bristol Health Partners’ Director of the Sexual Health Improvement for Population and Patients Health Integration Team, National Suicide Prevention Strategy Advisory Group member, NHS ‘Bristol Health Partners’ Director of the Addictions Health Integration Team and Chair of the National Advisory Group to Welsh Government on Suicide and Self Harm prevention. In this way it is ensured that the improved understanding of health and social care generated by the use of ALSPAC-NHS Digital data are flowing back into the NHS, through: academic routes (publication and conferences such as the Society for Academic Primary Care and Farr Institute Conferences); through clinical groups (e.g. the Bristol Health partners HITs) and advisory boards (e.g. National Suicide Advisory Group); direct feedback into improving service provision (e.g. National Chlamydia Screening Programme); and feedback into Government policy (e.g. ALSPACs contributions to the Marmott Review ‘Fair Society, Healthy Lives’).

A past example of this is the role ALSPAC played in the ‘back to sleep’ intervention that aimed to reduce rates of sudden infant death syndrome (aka ‘Cot Death’). ALSPACs used its early life information to research the long-term development pathways of children put to sleep on their back. ALSPAC's findings reassured sceptical health professionals (concerned that putting children to sleep on their backs impacted on child motor development) and contributed to policy change in the UK and overseas; a policy change which has subsequently been credited with substantially cutting rates of sudden infant death.

Specific purposes

Linked health record extracts are requested to inform investigations into the following 10 questions:

1. The effect of substance use in adolescence on mental health (see HRA CAG 15/CAG/0177)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff).

HES and MHSDS data will be used, along with GP data, to investigate the association between mental health outcomes in young people and substance use in adolescence. ALSPAC will consider the use of three of the most widely used substances (alcohol, cannabis and tobacco), and their association with a diagnosis of a mental or psychological disorder in general, and specifically a clinical diagnosis of mood disorder (e.g. depression), anxiety or psychotic disorder (e.g. schizophrenia). ALSPAC collected data will provide information on substance use exposure and NHS Digital and GP data will provide objective assessments of mental health outcomes. NHS Digital and GP data may be used (where possible) to assess reporting accuracy within the self-reported data and to inform strategies to deal with missing data. This research will improve understanding of the risks of substance use, and the patterns of health service use for young people with mental health problems.

2. Chlamydia testing, infection, and sequelae in young people (see HRA CAG 15/CAG/0176)

Investigators: Senior Research Associate for PEARL, Professor in Clinical Epidemiology and Primary Care.

ALSPAC will use HES data, along with GP records, to examine which factors influence Chlamydia testing, infection, and sequelae in young people. HES records will be used in the identification of pelvic inflammatory disease, ectopic pregnancy and reduced fertility amongst female ALSPAC participants with different evidence of exposure to Chlamydia (only negative tests, any positive tests, no evidence of testing). Reduced fertility will also be considered for male participants.

3. Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response (covered by CAG ECC 1-05(b)/2012)

Investigators: Data Linkage and Information Security Manager, Senior Research Associate, Research Associate in Statistics/Epidemiology and Data Manager (PEARL) (all full University of Bristol employees)

ALSPAC will investigate and describe 1) the reliability and validity of self-reported hospital admissions and those recorded in HES and MHSDS and 2) assess if individuals with adverse health status profiles are more likely to be missing from study follow-up assessments. This is methodological work which will support interpretation of ALSPAC data in other research projects (including the studies listed in this application) and also to support wider understanding and interpretation of bias in self-reported health status (e.g. in the NHS Survey of Mental Health and Wellbeing). This is increasingly important as ‘Big Data’ approaches in contemporary Data Science are being used to inform health policy development through the analysis of combined study data and routine records.

4. Investigating the accuracy of current estimates of self-harm (See HRA CAG 7-06(a)/2013)

Investigators: Professor of Epidemiology, Research Fellow, Senior Research Fellow (all full University of Bristol employees)

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported self-harm in the community (exploring the impact of non-response bias and mis-reporting) b) the long-term risk of hospital admission for self-harm in those self-harming in the community. This information is of critical importance to prevent over or under-estimation of the magnitude of self-harm, as policies based on inaccurate estimates may lead to the wrong policy decisions and incorrect prioritisation of particular health risk factors. Findings will also help to identify risk factors for future self-harm hospitalisation, and improve understanding regarding the relevance of findings from population-based studies using self-report to clinical practice.

5. Early life causes of adolescent depression and anxiety (See HRA CAG 15/CAG/0175)

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain accurate estimates of the association between maternal smoking and binge drinking during pregnancy and depression and anxiety in late adolescence and to investigate how (a) nonresponse and (b) misreporting in questionnaires affects estimates of this association. GP data will be used to provide depression and anxiety data for those individuals for whom we do not have self-reported information (just over 65% of the cohort). The secondary objective is to obtain accurate estimates of the prevalence of depression and anxiety in late adolescence.

6. Investigating the association between IQ and self-harm (see HRA CAG 14/CAG/1032).

Investigators: Senior Research Associate, Professor in Clinical Epidemiology and Primary Care (all University of Bristol contracted staff)

The main research objective is to obtain a more accurate estimate of the association between IQ and suicidal and non-suicidal Self-harm among adolescents and to investigate how (a) nonresponse and (b) underreporting in questionnaires affects estimates of this association. GP, hospital admissions and A&E data will be used to provide self-harm data for those for whom self-reported information is unavailable. The GP and hospital data will also be used to correct for any underreporting. The secondary research objective is to examine the extent to which adolescents seek GP help for self-harm and suicidal feelings.

7. Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records (supported by ECC 1-05(b)/2012)

Investigators: Senior Research Associate, Data Linkage and Information Security Manager, Professor in Clinical Epidemiology and Primary Care, Professor of Paediatric Respiratory Medicine, Research Fellow (all University of Bristol contracted staff).

ALSPAC will use the data to investigate a) the accuracy of current estimates of self-reported asthma in the community (exploring the impact of non-response bias and mis-reporting) and b) to calculate the extent of asthma severity from recorded hospital attendance/admissions as well as primary care emergency visits and treatment steps. There is concern that asthma may be socially patterned and that it is known that key exposure and confounders collected through observational studies certainly are. Therefore the concern is that assumptions made about the associations and confounding structures of relationships between environmental exposures and asthma outcomes may not be valid. Insights into the accuracy of ALSPAC self-reported and study clinic assessed asthma and the severity of asthmas will support our investigations into the genetic and environmental influences of asthma and current work into the impact of traffic pollution on asthma. ALSPAC will investigate i) the natural history of early wheeze in relation to later asthma outcomes; 2) the relationships between early wheezing and later clinical records to determine if a ‘severe asthma’ profile can be detected in early childhood; 3) compare the impact of smoking and biomarker data from ALSPAC and respiratory function; 4) investigate the relationships between childhood infections and wheezing phenotypes with asthma and lung function in later childhood. This may help confirm an association (identified elsewhere between early respiratory infection and decreased lung-function during childhood that may be antecedent to adult respiratory morbidity and possibly mortality; and, 5) investigate the relationships between treatment for asthmas in primary care, adherence to treatment and outcomes of asthma and lung function in later childhood and early adulthood.

8. Antecedent factors predictive of later ear disease (covered by CAG ECC 1-05(b)/2012)

Project: Serious ear disease in later childhood and adulthood is distressing and burdensome on those effected and incurs treatment costs on the NHS. This project will investigate whether early signs of ear disease identified in ALSPAC at age 9 (categorised from photographs of the ear drum) are predictive of the development of serious ear disease requiring hospital treatment in later childhood and adulthood (as identified through HES).

9. Parental and child alcohol use and later child criminality and injury outcomes (covered by CAG ECC 1-05(b)/2012)

The impact of parental and child alcohol use on child health and education is unclear, and have possible societal and service provider costs. ALSPAC has multi informant measures of parental alcohol use reported by the mothers and partners during pregnancy and throughout childhood (allowing comparison of maternal and paternal effects). ALSPAC have also collected child self-reported alcohol use and family-reported measures of child criminal and anti-social behaviour. These self-reported measures will be used to help understand associations between alcohol use and child outcomes including child alcohol use, criminal and antisocial behaviour and injury. As part of this investigation linked HES records will be used to contribute information on hospital admission (with codes related to injury linked to external causes of morbidity, i.e. alcohol) and attendance at A&E due to accidents and injuries.

10. Patterns of engagement with health and education services as predictors of child looked-after or in-need status (covered by CAG ECC 1-05(b)/2012).

HES data will be used, along with ALSPAC self-reported data and education records (e.g. attendance rates) and extracted general practice data, to examine whether patterns of health service engagement (e.g. missed routine appointments, regular attendance at A&E or out-of-hours services, receipt of care for accidental injuries) are useful predictors of a child becoming in need or looked-after. ALSPAC are engaged with the nascent National Child Looked After Observatory and local (Bristol) safeguarding teams in order to effectively disseminate the findings. Findings will also be published in appropriate academic journals and through conferences and local workshops (in partnership with the South West BRC, NHS CLHARC West and Bristol Health Partners).

Expected output

All investigations are due to be conducted between 2018 and 2020. Timings of the dissemination via journal articles will be constrained by the nature of the peer-review system. ALSPAC employ dedicated communications experts to assist with dissemination and engagement. Public and professional publicity (e.g. press releases, twitter posts, newsletter and facebook articles) will be coordinated with the publication of findings. Dissemination via conferences and workshops will occur throughout the project period using interim results. For all the investigations, ALSPAC are committed to feeding back findings to our participants. Participants will be informed through the ALSPAC print and social media newsletters. ALSPAC have a strong track record of running study engagement events which are designed with input from participants. In recent years ALSPAC have held ‘data linkage’ themed evening lectures (e.g. http://www.bristol.ac.uk/alspac/external/presentations/how-we-are-using-your-records.pdf) and ‘ResearchFest’ (http://www.bristol.ac.uk/alspac/events/researchfest2012/), a day-long event with a wide series of public lectures in Bristol. Periodically the study produces a book (e.g. http://www.bristol.ac.uk/alspac/go/21st-book/) or YouTube videos (https://www.youtube.com/user/children90s) that describe findings and how participant data is used. ALSPAC works with national and local media to disseminate findings, along with local attractions such as the MSHED museum of Bristol Life. Study findings from the applications described in this application will be incorporated into future activities.

ALSPAC will work with the University of Bristol press office and the team at Understanding Patient Data to promote the findings from these investigations (e.g. https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). The participants will be informed of the outputs through our press-release system (http://www.bristol.ac.uk/alspac/news/) and via our newsletters (http://www.bristol.ac.uk/alspac/participants/newsletters-leaflets/) and social media (https://en-gb.facebook.com/childrenofthe90s/ or https://www.youtube.com/user/children90s)

The specific project level dissemination plans are:

Project 1 (The effect of substance use in adolescence on mental health):(See HRA CAG-15/CAG/0177)

The findings will be disseminated through appropriate epidemiological and public health academic journals (e.g. Addiction, International Journal of Epidemiology, Epidemiology, Wellcome Open) and findings (including interim results) at conferences (e.g. Society Academic Primary Care, MRC Farr Institute). ALSPAC will also work with members of the NHS Bristol Health Impact Team to feed findings to local service providers.

Project 2 (Chlamydia testing, infection, and sequelae in young people): (see HRA CAG 15/CAG/0176)

This research will lead to a better understanding of sexual health and testing behaviours in young adults. It therefore has the potential to impact on public health policy. Findings will be published in an appropriate epidemiology journals or those dedicated to sexual health fgindings (e.g. International Journal of Sexual Health). The Senior Research Associate will lead professional dissemination based on understandings gained from his role as the Deputy Chair of the NICE Public Health Advisory Committee (PHAC-F), a committee responsible for the development of NICE public health guidance and is the Director of the NHS Bristol Health Partners sexual health for population and patients’ health integration team.

Project 3 (Assessing the Validity of Self-Reported Hospital Admissions and the Implications of study non-response):(see ECC1/05(b)/2012)

Insights from this work will be published in an appropriate epidemiology/survey methods journal (e.g. Society of Longitudinal and Life Course Studies, BMC Medical Research Methodology, Survey Research Methods), at similar conferences and via ALSPAC study website and the CLOSER longitudinal research consortium website. To ensure this information is fedback to the NHS ALSPAC will send the project findings to the Care Quality Commission ‘Survey Coordination Centre’ who facilitate NHS Surveys.

Project 4 (Investigating the accuracy of current estimates of self-harm):(see HRA CAG 7-06(a)/2013 )

Results from the study will be published in a suitable epidemiology/psychiatry journal and via the ALSPAC study website. Preliminary work (based on those participants who provided consent to link their data with medical records) has been published in Archives of Suicide Research (http://dx.doi.org/10.1080/13811118.2015.1033121), and has been selected as a case study by the Wellcome Trust ‘understanding patient data’ taskforce (https://understandingpatientdata.org.uk/case-study/investigating-self-harm-young-people). To ensure this information is fed back to the NHS ALSPAC will communicate the project findings to the Bristol Health Partners ‘Improving Care in Self-Harm’ STITCH Health Integration Team. Professor David Gunnell (The project PI) is the academic lead for STITCH. DG is also a member of both England’s and Bristol’s Suicide Prevention Advisory Groups and works closely with Public Health England, and will feed back relevant findings into NHS and Public health strategy.

Project 5 (Early life causes of adolescent depression and anxiety): (see HRA CAG 15/CAG/0175)

Outputs will be published in academic journals (e.g. BMJOpen, International Journal of Epidemiology) and will inform methodological understanding of self-reported and public policy development. The Investigators will work with Prof. Ann John (University of Swansea, who will not have access to the data) to disseminate findings; Prof. John chairs the National Advisory Group to Welsh Government on Suicide and Self harm prevention and is honorary Consultant in Public Health Medicine with Public Health Wales.

Project 6 (Investigating the association between IQ and self-harm):(see HRA CAG 14/CAG/1032)

Findings will be published in academic publications topical to the condition and/or epidemiological methods (e.g. BMC Medical Research Methodology). The researchers will work with Professor Gunnell to ensure wide dissemination of study findings within relevant NHS community (see Project 4).

Project 7 (Enabling the cross validation of asthma diagnosis using combinations of symptom and physiological data with GP and Hospital records):(supported by ECC1/05(b)/2012)

Findings will improve the understanding of asthma research based on the ALSPAC study and other studies using similar methodologies. Understanding will be disseminated via the Medical Research Council and Asthma UK funded STELAR asthma research consortium. Findings will help support research by the Medical Research Council and Natural Environment Research Council ERICA study that will assess associations between traffic pollution exposure and asthma outcomes in ALSPAC index children. The findings will support Prof. Henderson’s programme of work, as a part of which he was a lead contributor to the Royal College of Physicians ‘Every Breath We Take’ report into the lifelong impacts of air pollution (https://www.rcplondon.ac.uk/file/2914/download?token=qjVXtDGo).

Project 8 (Antecedent factors predictive of later ear disease): (supported by ECC1/05(b)/2012)

The Senior Research Associate in Medical Statistics and the Professor of Community Child Health will use the data to conduct the research evaluation. Clinical expertise will be provided by a Research Fellow in Social and Community Medicine and a Lecturer/NHS ENT surgeon, neither of whom will be provided with access to the data. Academic findings will be published in journals (e.g. International Journal of Audiology, BMJ Open, PLoS ONE). Study findings will be disseminated via the ENT liaison with the local CCGs Clinical Policy Review Groups. On a national level the ENT Specialty Lead for the NIHR Clinical Research Network: West of England will disseminate via the ENT National specialty group.

Project 9 (parental and child alcohol use and later criminality and injury outcomes): (supported by ECC1/05(b)/2012)

This work has been funded by the UK Medical Research Council and findings will be disseminated through academic routes (i.e. public health and health practitioner journals such as the BMJ as well as conferences such as the Society of Academic Primary Care), press releases and feedback to Department of Health policy makers. The Director of the NHS Bristol Health Partners ‘Drug and Alcohol’ Health Impact Team and will feed findings through into local care providers via this network.

Project 10 (Patterns of engagement with health and education services as predictors of child looked-after or in-need status): (supported by ECC1/05(b)/2012)

Research findings will be disseminated by the emerging National Family Justice Observatory and the Children Looked After and In Need strands of the Administrative Data Research Network. We will publish our findings in relevant academic journals (e.g. Epidemiology, Wellcome Open, Child & Family Social Work, British Journal of Social Work, Adoption and Fostering). We will disseminate relevant project findings to charities (e.g. NSPCC) and the NHS England ‘National Looked After Children Safeguarding Sub Group’.

Benefits reported

University of Bristol received the data in late August 18 and are still processing and documenting it. Applied analysis is due to start in early 2019. There have been data quality issues with the HES data received - a full resupply will be given, so that correct analysis can be taken. Therefore no yielded benefits have been realised.

Register history

When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds, the earliest of which is July 2021.

Cite this page

NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-152414-W3P6Q, “Continuation of AVON LONGITUDINAL STUDY OF PARENTS AND CHILDREN (ALSPAC): consent”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-152414-w3p6q/ (accessed [date]).

This address stays the same, but the page is rebuilt with each monthly edition, so the citation names the edition it shows. Every edition's data is kept in the facts store.

Source: datausesregister_september2026.xlsx, September 2026 edition of the NHS England Data Uses Register. Search that workbook for DARS-NIC-152414-W3P6Q to see the original rows.