Yorkshire Specialist Register of Cancer in Children and Young People ( ODR1516_163 )
University of Leeds · Academic
Expired The latest version ended on 5 March 2024. The September 2026 register still lists the agreement, but its term has passed.
- Reference
- DARS-NIC-656761-R6H7W
- Latest version
- v2.6
- Term of latest version
- 6 February 2024 to 5 March 2024
- Start date
- Before 1 August 2023
- Data controller
- Sole Data Controller
- Commercial purposes
- No
- Sublicensing
- No
- Files released to date
- 8
Why the data was released
Objective for processing
The University of Leeds requires access to NHS England data for the purpose of the following research project: Yorkshire Specialist Register of Cancer in Children and Young People (YSRCCYP). Cancer registration data from the YSRCCYP is used to carry out a programme of epidemiological and applied health research as set out in the Yorkshire Register protocol.
The YSRCCYP was originally set up in collaboration with local clinicians to provide research information. Since 1994, the YSRCCYP database and research programme has been managed by the University of Leeds' Division of Epidemiology and Biostatistics. The University of Leeds is the Sole Data Controller for the YSRCCYP with sole responsibility for determining the purposes for which and the manner in which any personal data are processed.
The YSRCCYP is a specialist register focusing on tumour registrations diagnosed in the Yorkshire and Humber region since 1974 for patients aged 0-14 years and 1990 for those aged 0-29 years. The YSRCCYP research team, within the University of Leeds, is notified of patients eligible for inclusion in the YSRCCYP either directly by the patient’s treatment centre or via electronic reports from the NCRAS, the latter covered by this Data Sharing Agreement (DSA).
Childhood cancer registration details for those aged 0-15 years are primarily provided via the two Principal Treatment Centres, at Leeds Children’s Hospital and Sheffield Children’s Hospital, with a secondary source being the NCRAS. For 16-29 year olds, these are primarily provided by the NCRAS, with secondary sources being Teenage and Young Adult Principal Treatment Centres in Leeds and Sheffield. The NCRAS is also the primary source of information for these children and young people if diagnosed with any subsequent tumours or relapses at any age and living inside or outside the Yorkshire region at the time.
The NHS England dataset also provides data on death registrations for any existing tumour registration since 1974 on an annual basis as part of this annual data extract.
Below is a summary of the YSRCCYP research team’s research plans which include the following objectives:
1) To describe the total burden of physical and mental health hospitalisation among the Yorkshire cancer population aged 0-29 years, to identify clinical and sociodemographic factors which influence the likelihood of hospitalisation and to investigate how hospitalisation rates have changed since 1997.
2) To understand patient care pathways through the NHS before, during and after cancer diagnosis. This includes assessment of time to diagnosis for children and young adults diagnosed with cancer under the age of 30 years to identify where improvements can be made to minimise delays in diagnosis leading to better prognosis and less stress and anxiety on patients and their families.
3) To calculate the risks and costs to the NHS of adverse physical and mental health events requiring hospital admission for survivors of cancer in this age group so that clinicians can provide appropriate follow-up care.
4) To identify the risks of cardio-metabolic disease in long-term childhood and young adult cancer survivors. Specific risk markers for cardiovascular disease plus metabolic factors associated with metabolic syndrome and type II diabetes will be collected. The study team will also obtain a range of additional biomarkers of cardiovascular risk. This data will facilitate a programme of research assessing the prevalence of endocrine complications and cardiometabolic late effects in long-term childhood and young adult cancer survivors.
5)i)To identify the impact of cancer treatment on kidney toxicity and mental health, specifically anxiety and depression. In this project researchers aim to enhance the treatment data held in the register through linkage with the national Systemic Anti-Cancer Therapy (SACT) dataset and hospital electronic prescribing systems such as ChemoCare*. It is hoped this will enable researchers to compare the chemotherapy doses and intensities given to patients with the same tumour types and see if this has any effect on outcomes including survival and relapse. Researchers may also be able to look at the toxicities experienced by patients by reviewing routine measurements and blood tests collected prior to chemotherapy. From this, researchers may be able to see if any dose modifications were made as a result and again look at whether this had any effect on patient outcome. By comparing patients treated at different hospitals. researchers may, for some tumour types, be able to see whether, and if so how, practices differ between Principal Treatment Centres and peripheral hospitals.
ii) An extension of this project is to look in more detail at the impact of cancer treatments on kidney toxicity. Routine bloods tests and measurements held will be enhanced by the collection of urinary analyses, microbiology results, radioisotope measurements and the prescription of any anti-hypertensive medications. These additional fields will give researchers a greater insight into the kidney toxicity caused.
*Please note, the data added to the YSRCCYP from data sources such as ChemoCare, will never be linked to NHS England at record level. Only aggregated outputs with small numbers suppressed will be compared.
6) To provide contextual information on existing physical and mental health morbidity when evaluating educational and employment outcomes. As part of the ongoing research the study team collect additional information for patients on the register attending the long-term follow-up clinics at Leeds Teaching Hospitals Trust. Patients attending these clinics complete a holistic needs assessment which includes the completion of the distress thermometer and a problems check list. These data items are used as a measure of psychological health to assess the prevalence of distress in long term cancer survivors and the associations between patient characteristics and levels of distress.
To address aims 1 and 4, the YSRCCYP research team will utilise HES and Mental Health data to investigate long term risks of all major morbidity (e.g. cardio-metabolic, respiratory, mental health illness) in the cohort and identify sociodemographic and clinical factors which may affect these risks. The YSRCCYP research team also wish to determine the relative excess risk of these conditions within the cancer cohort compared to the general background population and, in order to make this comparison, requires a separate pseudonymised extract of HES data containing all episodes for YSRCCYP members in the Yorkshire and Humber SHA area only under the age of 65 at admission (the oldest person currently registered in the database). This separate extract is covered under Agreement DARS-NIC-155843-0MQMK.
To address aims 2 and 3 evaluating clinical care pathways and time to diagnosis also require data of all admissions prior to cancer diagnosis. The late health effects for childhood and young adult cancer survivors may occur any time after treatment ends and the risk of late effects increases as the cohort ages. In order to fully evaluate the total burden of adverse health events in these survivors’, data are required for as long a time period as possible. This may also include any hospital admissions prior to the patient’s cancer diagnosis to identify any underlying health conditions. The YSRCCYP research team is also notified about any subsequent malignant neoplasms from the National Cancer Registration and Analysis Service prospectively following the original cancer diagnosis and therefore need to retain all historical HES and mental health data in order to scrutinise any such individual’s history of hospital admissions and understand potential reasons for those who experience multiple tumour diagnoses.
Rates of admission within the cancer survivors have previously been compared to pseudonymised hospital admission rates to work out standardised hospitalization admission ratios and assess whether these differed according to cancer diagnosis, treatment, ethnic group, gender, age group, period of diagnosis and socioeconomic status, using statistical models adjusting for patient case-mix while also incorporating the general background hospital admission rates. (Althumairi, University of Leeds, 2017). To address aim 3 this process will be repeated using the latest data with a focus on specific disease groups, including cardio-metabolic, kidney disease, anxiety and depression, as well as total physical and mental health morbidity data, using a similar methodology as the YSRCCYP research team’s previously published work on cardiovascular disease, respiratory morbidity and cumulative burden.
Aim 4 will examine the lifelong risk for the development of endocrine complications or adverse cardio-metabolic health outcomes attributable to the cancer and/or treatment with a specific focus on these risks in relation to ethnic group and socio-economic status.
Aim 5 will enable the YSRCCYP research team to estimate the risk of kidney disease, anxiety and depression among the Yorkshire survivorship cohort, whether this risk has changed over time and the points at which it may appear in the survivor's cancer treatment. The key clinical factors which influence the risk of kidney disease, anxiety and depression will also be identified.
A current research focus is on hospital burden around the time of diagnosis and treatment and monitoring long term risks of hospitalisation associated with cancer treatment. One specific processing activity will relate to describing the risks and prevalence of mental health illness within the cancer cohort compared to the general population. Using data from March 2020 onwards, the study team will examine any changes in the long-term health risks by identifying those individuals in the cohort who tested positive for Sars-Cov-2 infection.
Aim 6 will provide important clinical information on existing health problems, identified from HES data, when describing educational attainment and employment trajectories for the young people diagnosed with cancer in Yorkshire. Specifically, those with existing health problems will be identified and this information will be taken into account as a potential confounding factor when examining the risks of poor educational or employment outcomes among the entire survivor cohort. Furthermore, the YSRCCYP research team will be able to determine whether the risks of poor educational or employment outcomes are exacerbated for those with pre-existing illness.
As a result of the Covid-19 pandemic, a patient’s Covid-19 status and related data (such as date positive status was confirmed and shielding status) are also collected. This enables an analysis of the impact of Covid-19 on cancer treatments for children and young people (such as delays in treatment or non-start of treatments) and long-term health and social outcomes. Also resulting from the changes to working practices in response to the Covid-19 pandemic, data collection is completed remotely where possible. Approval has been obtained from NHS Trusts for remote access to digitalised patient notes.
This type of epidemiological and health services research has the potential to benefit future patients by identifying risk factors which can be used by health professionals to identify those at greatest risk of mental health illness so that interventions and appropriate support can be implemented. It may also reveal important environmental risk factors, examine changes in incidence rates which may help to identify possible causes and understand survival patterns according to ethnic group and socio-economic status in order to ensure that there are no inequalities in outcomes or access to specialist cancer care for certain sub-populations. The research will also have the potential to determine the impact of the COVID-19 pandemic on long-term health outcomes since March 2020.
In order to meet the above objectives, The University of Leeds request an update to the following NHS England NDRS datasets to be supplied as a one off within this agreement.
-Civil Registration Mortality – necessary to calculate survival estimates to examine early mortality and long-term trends in survival for the YSRCCYP cohort.
-NDRS Cancer Registration – necessary to ensure that the YSRCCYP has complete case ascertainment for all patients aged under 30 years in Yorkshire, as well as any subsequent tumours or relapses.
-NDRS National Radiotherapy Dataset (RTDS)
-NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
The level of data will be identifiable necessary to enable linkage of the data with data collected from other sources within the YSRCCYP (local Patient Managements systems (PPM), HES, National Pupil Database, Department for Work and Pensions (DWP), HMRC and Patient Reported Outcome Measures (PROMs). In order to evaluate long-term health and social outcomes. Identifiable data items are essential so that the YSRCCYP data manager can access the right person’s medical records and validate key information such as cancer diagnosis, staging and treatment whilst addressing any missing information.
The data will be minimised as follows:
• Limited to data for the YSRCCYP cohort identified by the University of Leeds, i.e. patients aged 0-14 years diagnosed with cancer in Yorkshire & the Humber between 1974-1989 and patients aged 0-29 years since 1990.
• All valid ICD10 codes for cause of death.
• ICD10 codes C00 – C97, D00-D05, D07-D48 for second primary tumours.
The University of Leeds is the research sponsor and the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 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.
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it relates to cancer registration, specifically to examine long-term health and social outcomes for children and young people diagnosed in Yorkshire. Findings will provide information on those groups whose outcomes are worse than their peers and this will be used to inform future decisions over patients’ treatment and care.
The funding is provided by the Candlelighters Trust, Leeds. The funding is specifically for the YSRCCYP cohort described. Funding is in place until 31/5/2027. The funder will have no ability to suppress or otherwise limit the publication of findings.
The YSRCCYP database is currently stored on the University of Leeds's cloud platform called LASER which is provided by Microsoft Limited. It is anticipated The University of Leeds will migrate the data to AIMES Management Services in 2024, to which an amendment to this DSA to update the processor as required will be submitted.
Microsoft Limited provides IT hosting services to the University of Leeds and will store the data as contracted by the University of Leeds. Microsoft Limited also provides IT back up services to the University of Leeds and will store copies of the data as contracted by the University of Leeds.
Data will be accessed by:
• Undergraduate, Masters or PhD students affiliated with the University of Leeds. Any student working with the data held under this Agreement must have completed mandatory data protection and confidentiality training and are subject to the University of Leeds’ policies on data protection and confidentiality. Any students accessing the data will do so under the supervision of a substantive employee of the University of Leeds. The University of Leeds would be responsible and liable for any work carried out by students. These students would only work on the data for the purposes described in this Agreement. Any education benefit gained from carrying out this work would be an associated benefit and would not be the primary reason for the research being conducted nor the primary reason for their involvement.
• An individual from Hull University Teaching Hospitals NHS Trust will be working on specific data extracts for their own clinical academic training, holding an honorary contract (visiting title) with the University of Leeds. The honorary contract holder is a junior doctor who requires research experience as part of their clinical academic training in order for them to continue with their career. They will be performing the statistical analysis for the study. An appropriate contract between the individual and the University of Leeds is in place.
Any individual working with the data held under this Agreement must have completed mandatory data protection and confidentiality training and are subject to the University of Leeds’ policies on data protection and confidentiality. Any individuals accessing the data will do so under the supervision of a substantive employee of the University of Leeds. The University of Leeds would be responsible and liable for any work carried out by these individuals. These individuals would only work on the data for the purposes described in this Agreement. Any education or clinical academic benefit gained from carrying out this work would be an associated benefit and would not be the primary reason for the research being conducted nor the primary reason for their involvement.
The YSRCCYP Scientific Advisory Group provides advice on key strategic objectives, monitors progress on these objectives, monitors the quality of the scientific work of the project and provides guidance on complex issues when needed, e.g. the release of sensitive findings. Details of current members can be found on the YSRCCYP website: https://ysrccyp.org.uk/about/scientific-advisory-group/.
The NIHR Clinical Research Fellow within the YSRCCYP team, has led on the development of two national Public and Patient Information and Engagement workshops in February 2022 and April 2022 in conjunction with DATA-CAN exploring young people’s views on the use of health data for research purposes. This included discussion around cancer registration and data linkage with education and employment datasets. There was strong support from the group in favour of these ongoing research activities and these findings are being written-up for publication later this year. The workshops also helped to inform the research strategy because the late effects of cancer were also one of the young people's research priorities. These young people are also supporting University of Leeds in individual research projects and grant applications.
The NIHR Clinical Research Fellow and the Register Statistician, have also represented the work of the YSRCCYP and Candlelighters’ Trust at the ‘Be Curious’ public engagement event for children and their families held at the University of Leeds in May 2023. This was a huge success with numerous families asking questions about the research and expressing interest about being involved in future PPIE events related to the YSRCCYP. There was significant diversity of families attending the event, for example children attended from the Bradford East family hub along with families where English was their second language. This provided University of Leeds with the ability to engage with the harder to reach populations.
Patients are made aware of all data flows through leaflets distributed at the main Principal Treatment Centres, posters on hospital wards, webinars with the local charity funders (Candlelighters Trust) and the YSRCCYP register website and fair processing statement which is published on the University of Leeds website. University of Leeds have also engaged with groups such as the GenerationR Young People’s Advisory Group at Leeds General Infirmary where the research from the YSRCYP is disseminated to young people in accessible forms.
This contract is reliant on the Data Recipient maintaining the continued support for use of confidential patient information without consent, according to regulations made under section 251 of the NHS Act 2006 (20CAG0133).
The study has support under section 251 of the NHS Act 2006 to enable the common law duty of confidentiality to be temporarily lifted so that confidential patient information can be processed without consent.
Where individuals have opted out of disease registration by the National Disease Registration Service (NDRS), their data has been permanently removed from the registry and therefore will not be disseminated under this Data Sharing Agreement (DSA). https://digital.nhs.uk/ndrs/patients/opting-out
Processing activities
No data will flow to NHS England for the purposes of this Agreement.
NHS England will provide the relevant records from the NCRAS dataset to the University of Leeds/YSRCCYP. The data will contain directly identifying data items including Names, NHS Number, Date of Birth, Postcode, Gender which are required to link the data at record level with data already held by the recipient (PPM, HES, NPD, DWP, HMRC) in order to evaluate long-term health and social outcomes. Identifiable data items are essential so that the YSRCCYP data manager can access the right person’s medical records and validate key information such as cancer diagnosis, staging and treatment whilst addressing any missing information.
The data will not be transferred to any other location.
Data will be stored on Leeds Analytic Secure Environment for Research (LASER), a custom Virtual Research Environment (VRE) based on Microsoft Azure technologies operated by the University of Leeds. LASER uses the Microsoft Azure UK South data centre.
https://lida-data-analytics-team.github.io/laserdocs/docs/laser_info/laser.html.
Backups are handled by Microsoft Azure Recovery Services (MARS) agent and uses a Backup Service Vault, connected to Azure storage services based in the UK.
As per the University of Leeds policy data is classified using a data risk tiering system based on the perceived impact of disclosure. All data from projects like the YSRCCYP generally falls within tier 3 or 4. Identifiable data is generally classified as tier 4, i.e. significant impact to University of Leeds, partners or individuals with potential for substantial legal, financial or reputational penalties.
Pseudonymised / De-identified data is generally classified as tier 3, i.e. high impact to
University of Leeds, partners or data subjects with potential for contractual, commercial, legal, financial or reputational penalties.
Identifiable data is held within a separate VRE that can only be accessed from within a designated safe room onsite at the University of Leeds.
Pseudonymised data is held in a separate VRE that can be accessed by authorised personnel remotely.
Data ingress and egress of all data is controlled by the LASER Data Analytics Team (DAT).
https://lida-data-analytics-team.github.io/laserdocs/docs/lida_services/dat.html.
Research staff do not have the ability to copy any dataset to an external device.
The identifiable data will not leave England at any time.
Access is restricted to individuals within the YSRCCYP research team at the University of Leeds who have authorisation from the Principal Investigator (PI). All such individuals are substantive employees of the University of Leeds.
Access to each pseudonymised / de-identified dataset held will be restricted to designated YSRCCYP affiliated researchers who have been authorised by either the PI or designated officer.
Access to patient identifiable data is restricted to employees of the University of Leeds who are YSRCCYP affiliated. These researchers will have specifically been granted access by the PI dependent on their job role.
YSRCCYP researchers can potentially have prepared identifiable datasets in locations within the VRE with bespoke access restrictions to minimise the individuals with access to the full identifiable data held.
Individuals with an honorary contract / visiting title act as an agent of the University of Leeds at all times under supervision of University employees.
Access to the core identifiable dataset will be restricted to a minimum number of individuals within the YSRCCYP research team. Research data extracts will be approved by data managers and research statisticians within the team.
A data asset log will be maintained documenting the source / code used to produce use, storage location and approved users. All requests are approved by the Principal Investigator via email, which acts as an additional audit trail.
All personnel accessing the data have been appropriately trained in data protection and confidentiality.
Microsoft Limited provide Cloud Services for the University of Leeds and are therefore listed as a data processor. They supply support to the system, but do not access data. Therefore, any access to the data held under this agreement would be considered a breach of the agreement. This includes granting of access to the database[s] containing the data.
The data will be linked at person record level with datasets obtained from NHS England (HES), Leeds Teaching Hospitals NHS Trust (PPM; PROMs), Department for Education (National Pupil Database), Department for Work and Pensions, and HMRC.
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.
Data managers and researchers from the YSRCCYP research team at the University of Leeds will process the data for the purposes described above.
Researchers from the YSRCCYP research team at the University of Leeds will use the relevant subset of data to analyse incidence and survival trends including long-term health and outcomes, as described above.
Expected output
The expected outputs of the processing will be:
• A report of findings to the Candlelighters Trust on an annual basis.
• Submissions to peer reviewed journals, expected to be at least two submissions per year.
• Presentations to the Candlelighters Trust as well as local and regional clinical and research seminars.
• Presentations at Cancer Research UK, National Cancer Registration and Analysis Service Cancer Outcomes annual meeting, Teenage Cancer Trust and the International Society of Paediatric Oncology annual conferences.
• Publication of infographics on the YSRCCYP’s website: www.ysrccyp.org.uk.
• A database to be utilised as a resource for health research.
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 (e.g. BMC Cancer)
• Workshops involving clinicians and researchers working in the childhood and young adult cancer field, e.g. NCRI TYA and Germ Cell tumour Clinical Services Group.
• Webinars open to academic and clinical researchers in the UK.
• Social media
• Posters displayed at Cancer Research UK, CCLG, TYAC and SIOP conferences.
• Patient Information leaflets available at the YSRCCYP website: www.ysrccyp.org.uk.
• Press/media engagement
• Public promotion of the research, e.g. Be Curious event at the University of Leeds.
The target dates for production and dissemination of the outputs are:
• Journals: 2 per year, e.g. germ cell tumour dose intensity paper to be submitted by July 2023, early mortality paper to be submitted by Dec 2023, cardio-metabolic paper to be submitted by Dec 2024. Analyses describing educational outcomes will be submitted for publication by Summer 2025 to the International Journal of Cancer (or similar). Work will be submitted to the European Journal of Cancer (or similar) in relation to specific cardio-metabolic disease by Summer 2025. Risks of kidney toxicity will be submitted for publication by Summer 2024 in the British Journal of Cancer (or similar). Risks of anxiety, depression and overall mental health disorders will be submitted for publication by Winter 2025 in the International Journal of Cancer (or similar).
• Workshops involving clinicians and researchers working in the childhood and young adult cancer field, e.g. NCRI TYA and Germ Cell tumour Clinical Services Group: 3 per year.
• Webinars open to academic and clinical researchers in the UK: 2 per year.
• Social media: coinciding with each journal publication, 2 per year.
• Posters displayed at Cancer Research UK, CCLG, TYAC and SIOP conferences: 3 per year.
• Patient Information leaflets available at the YSRCCYP website: www.ysrccyp.org.uk: ongoing and updated regularly.
• Press/media engagement: coinciding with each journal publication, 2 per year.
• Public promotion of the research, e.g. Be Curious event at the University of Leeds: twice per year.
Details of risk stratification models and the methodology to derive these for individual patients will be disseminated by the research team to every clinician involved in the care of children and young people (CYP) in August 2025. This will be supported by the Yorkshire & Humber CYP cancer network that holds details of all practicing NHS CYP cancer teams and clinicians in the region.
The linked NHS Digital data alongside the background hospitalisation rates will be used to derive key information which will be provided by the YSRCCYP research team to clinicians involved in the long-term care of young people identifying each individual’s risk stratification group (defined as being at ‘low’, ‘medium’, or ‘high’ risk of future complications or health effects, based upon their previous hospital activity patterns, treatment mortality, dose, cancer type and stage). The risk stratification model will be devised by the YSRCCYP research team and disseminated to clinicians in the Yorkshire and Humber region via the Y&H Children’s and Young People’s Cancer Network (August 2025). Only those clinicians involved in the direct care of individuals with cancer will be provided with details of the risk stratification model. Health care commissioners will be provided with aggregated cancer intelligence data on the number of survivors currently being seen at each NHS Trust according to risk stratification group, so future services can be planned effectively (Summer 2025).
Summary reports of the work and research undertaken will be compiled and also made available on the Yorkshire Register University of Leeds website (www.ysrccyp.org.uk), according to the timelines listed earlier in the document.
All outputs will be aggregated with small number suppression in line with the HES Analysis Guide.
Data will be held for as long as the research project is funded to undertake this piece of epidemiological and applied health research. Current funding expires on 31st May 2027. Subject to securing ongoing funding, the data would be retained until December 2027 to allow sufficient time for completion of analyses, submission and final publication of papers.
Expected measurable benefits
The findings of this research study are expected to contribute to evidence-based decision-making for policy-makers, local decision-makers such as doctors, and patients to inform best practice to improve the care, treatment and experience of health care users relevant to childhood and young adult cancer.
The use of the data could:
• help the system to better understand the health and care needs of the childhood and young adult cancer population in Yorkshire.
• 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 trends in health and social care needs.
• inform planning health services and programmes, for example to improve equity of access, experience and outcomes for children and young people with cancer.
• provide a mechanism for checking the quality of care. This could include identifying areas of good practice to learn from, or areas of poorer practice which need to be addressed.
Potential benefits could comprise:
• An ability to evaluate changes in risk of death for children and young people diagnosed with cancer in Yorkshire and determine whether differences exist by ethnic group, deprivation and stage at diagnosis.
• Identify those groups of survivors who are most likely to experience the poorest health and social outcomes so that appropriate interventions and improvements in care quality can be devised.
It is hoped that through publication of findings in appropriate media, the findings of this research will add to the body of evidence that is considered by the bodies, organisations and individual care practitioners charged with making policy decisions for or within the NHS or treatment decisions in relation to childhood and young adult cancer patients and survivors in Yorkshire.
University of Leeds will use multiple channels to disseminate key findings. These will include:
• The Candlelighters Trust Families Group
• The CCLG’s Late Effects Group
• The NCRI CTYA and Germ Cell Tumour Clinical Services Group
• PPIE events such as those organised by the Candlelighters Trust and University of Leeds, e.g. Be Curious.
• International scientific meetings, e.g. SIOP, Global AYA Cancer Congress.
• The YSRCCYP website: www.ysrccyp.org.uk.
The Candlelighters Trust, as the main funder of the YSRCCYP research programme, have been an important source of support in making sure that the outputs are provided in clear formats and at appropriate public meetings.
Benefits reported so far
Update as provided on the annual confirmation report submitted 21/12/2023
Multiple peer-reviewed publications describing the epidemiology and long-term outcomes for children and young people diagnosed with cancer in Yorkshire.
A full list can be found here:
https://ysrccyp.org.uk/research/publications/
Some specific examples:
1) The data collected as part of the YSRCCYP has allowed researchers to better understand the burden on NHS services of late cardiovascular and respiratory morbidity as well as second cancers survivors and quantifies the long-term risk of such morbidity for survivors and healthcare professionals looking after them. It has enabled childhood and young adult cancer survivors and their families to understand more about their own risk of developing these longer-term health problems according to their original diagnosis and treatment, and at what age they are most likely to appear. In effect, young cancer patients have been able to take ownership of their own survivorship.
2) The YSRCCYP database has facilitated the production of an up-to-date summary of the latest literature relating to late consequences of cancer treatment on reproductive health, describing the impact on both fertility and pregnancy. This has provided awareness and information to cancer survivors from Yorkshire about reproductive outcomes to enable them to plan fertility storage at the earliest opportunity and maximise the chances of having
their own offspring. Additionally, the identification of a sparsity of evidence on outcomes of ovarian and testicular tissue resulted in establishment of a multi-centre initiative to establish a population based register of individuals with stored ovarian and testicular tissue in the United Kingdom (UK).
3) It has allowed researchers to quantify respiratory morbidities, treatment-related risks and their relationship to subsequent morbidity and mortality among long-term survivors of childhood and young adult cancer in Yorkshire. This information has been made available to the clinical community in Yorkshire in the form of research papers, regular webinars and infographics so that those health professionals looking after young cancer survivors are able
to inform them of their risks of morbidity depending on their original cancer diagnosis and treatment, and at what age these are likely to be develop.
4) It has allowed researchers to quantify the prevalence and spectrum of mental health problems found in adult survivors of childhood cancer, based on a systematic review of the current evidence. Problems ranged from depression, anxiety, behavioural problems and drug misuse. Factors increasing the likelihood of mental health problems included treatment with high-dose anthracyclines, cranial irradiation, diagnoses of sarcoma or central nervous system tumours and ongoing physical ill health. The review recommended further work to identify
childhood cancer patients who are at risk of developing late mental health morbidity.
5)The first comprehensive analysis of hospital mental health episodes following CTYA cancer treatment (Friend, PhD thesis, 2020), preceded by a systematic review of the current evidence (Friend et al, Int J Cancer 2018).
6)The YSRCCYP research team found that the National Cancer Survivorship Initiative paediatric late-effects risk stratification system can be effectively and safely applied to cancer patients aged 18-29, independent of ethnicity or socioeconomic position. This evidence has supported clinical services in Yorkshire and further afield across the UK to safely adopt risk-stratified care pathways for the long term follow up of individuals living with and beyond
cancer.
Datasets on the latest version
Legal basis for provision: Health and Social Care Act 2012 - s261(5)(d); National Health Service Act 2006 - s251 - 'Control of patient information'.
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Civil Registrations of Death | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| NDRS Cancer Registrations | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| NDRS National Radiotherapy Dataset (RTDS) | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
| NDRS Systemic Anti-Cancer Therapy Dataset (SACT) | Identifiable | Sensitive | One-Off | Section 251 NHS Act 2006 |
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.
Patient opt-outs were applied to all 8 files released under this agreement, across every version. About opt-outs
No files recorded as released under the latest version. 8 were released under earlier versions, shown in the version history.
Version history
The register lists each renewal of this agreement as a separate row. This site has 2 versions — earlier versions exist, but none has been listed in an edition this site holds.
DARS-NIC-656761-R6H7W-v2.6 6 February 2024 to 5 March 2024
- Title
- Yorkshire Specialist Register of Cancer in Children and Young People ( ODR1516_163 )
- Commercial
- No
- Sublicensing
- No
- Datasets
- 4
- Files released
- 0
Datasets: Civil Registrations of Death; NDRS Cancer Registrations; NDRS National Radiotherapy Dataset (RTDS); NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
What changed from DARS-NIC-656761-R6H7W-v1.8
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-02-06 | |
| End date | 2024-03-05 |
Objective for processing
The University of Leeds requires access to
National Cancer Registration and Analysis Service (NCRAS)
NHS England
data for the purpose of the following research project: Yorkshire Specialist Register
[23 words unchanged]
and applied health research as set out in the Yorkshire Register protocol.
The YSRCCYP is a specialist register focusing on tumour registrations diagnosed in the Yorkshire and Humber region since 1974 for patients aged 0-14 years and 1990 for those aged 0-29 years. The YSRCCYP research team, within the University of Leeds, is notified of patients eligible for inclusion in the YSRCCYP either directly by the patient’s treatment centre or via electronic reports from the NCRAS, the latter covered by this Data Sharing Agreement (DSA).
The YSRCCYP was originally set up in collaboration with local clinicians to provide research information. Since 1994, the YSRCCYP database and research programme has been managed by the University of Leeds' Division of Epidemiology and Biostatistics. The University of Leeds is the Sole Data Controller for the YSRCCYP with sole responsibility for determining the purposes for which and the manner in which any personal data are processed.
The YSRCCYP is a specialist register focusing on tumour registrations diagnosed in the Yorkshire and Humber region since 1974 for patients aged 0-14 years and 1990 for those aged 0-29 years. The YSRCCYP research team, within the University of Leeds, is notified of patients eligible for inclusion in the YSRCCYP either directly by the patient’s treatment centre or via electronic reports from the NCRAS, the latter covered by this Data Sharing Agreement (DSA).
[1 paragraph unchanged]
The
NCRAS
NHS England
dataset also provides data on death registrations for any existing tumour registration since 1974 on an annual basis as part of this annual data extract.
The objectives for this study are:
Below is a summary of the YSRCCYP research team’s research plans which include the following objectives:
1) Mortality trends paper examining changes over time and differences according to ethnicity, deprivation and stage,
1) To describe the total burden of physical and mental health hospitalisation among the Yorkshire cancer population aged 0-29 years, to identify clinical and sociodemographic factors which influence the likelihood of hospitalisation and to investigate how hospitalisation rates have changed since 1997.
2) Evaluation of cardio-metabolic fatalities, examining differences according to ethnicity, deprivation, stage and treatment
2) To understand patient care pathways through the NHS before, during and after cancer diagnosis. This includes assessment of time to diagnosis for children and young adults diagnosed with cancer under the age of 30 years to identify where improvements can be made to minimise delays in diagnosis leading to better prognosis and less stress and anxiety on patients and their families.
The following NCRAS data will be accessed with this application (DARS-NIC-656761):
3) To calculate the risks and costs to the NHS of adverse physical and mental health events requiring hospital admission for survivors of cancer in this age group so that clinicians can provide appropriate follow-up care.
• Civil Registration Mortality – necessary to calculate survival estimates to examine early mortality and long-term trends in survival for the YSRCCYP cohort.
4) To identify the risks of cardio-metabolic disease in long-term childhood and young adult cancer survivors. Specific risk markers for cardiovascular disease plus metabolic factors associated with metabolic syndrome and type II diabetes will be collected. The study team will also obtain a range of additional biomarkers of cardiovascular risk. This data will facilitate a programme of research assessing the prevalence of endocrine complications and cardiometabolic late effects in long-term childhood and young adult cancer survivors.
• NDRS Cancer Registration – necessary to ensure that the YSRCCYP has complete case ascertainment for all patients aged under 30 years in Yorkshire, as well as any subsequent tumours or relapses.
5)i)To identify the impact of cancer treatment on kidney toxicity and mental health, specifically anxiety and depression. In this project researchers aim to enhance the treatment data held in the register through linkage with the national Systemic Anti-Cancer Therapy (SACT) dataset and hospital electronic prescribing systems such as ChemoCare*. It is hoped this will enable researchers to compare the chemotherapy doses and intensities given to patients with the same tumour types and see if this has any effect on outcomes including survival and relapse. Researchers may also be able to look at the toxicities experienced by patients by reviewing routine measurements and blood tests collected prior to chemotherapy. From this, researchers may be able to see if any dose modifications were made as a result and again look at whether this had any effect on patient outcome. By comparing patients treated at different hospitals. researchers may, for some tumour types, be able to see whether, and if so how, practices differ between Principal Treatment Centres and peripheral hospitals.
• NDRS National Radiotherapy Dataset (RTDS)
ii) An extension of this project is to look in more detail at the impact of cancer treatments on kidney toxicity. Routine bloods tests and measurements held will be enhanced by the collection of urinary analyses, microbiology results, radioisotope measurements and the prescription of any anti-hypertensive medications. These additional fields will give researchers a greater insight into the kidney toxicity caused.
• NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
*Please note, the data added to the YSRCCYP from data sources such as ChemoCare, will never be linked to NHS England at record level. Only aggregated outputs with small numbers suppressed will be compared.
The following datasets will be accessed with the DARS BAU sister application (DARS-NIC-11809):
6) To provide contextual information on existing physical and mental health morbidity when evaluating educational and employment outcomes. As part of the ongoing research the study team collect additional information for patients on the register attending the long-term follow-up clinics at Leeds Teaching Hospitals Trust. Patients attending these clinics complete a holistic needs assessment which includes the completion of the distress thermometer and a problems check list. These data items are used as a measure of psychological health to assess the prevalence of distress in long term cancer survivors and the associations between patient characteristics and levels of distress.
• Mental Health Services Data Set (MHSDS)
To address aims 1 and 4, the YSRCCYP research team will utilise HES and Mental Health data to investigate long term risks of all major morbidity (e.g. cardio-metabolic, respiratory, mental health illness) in the cohort and identify sociodemographic and clinical factors which may affect these risks. The YSRCCYP research team also wish to determine the relative excess risk of these conditions within the cancer cohort compared to the general background population and, in order to make this comparison, requires a separate pseudonymised extract of HES data containing all episodes for YSRCCYP members in the Yorkshire and Humber SHA area only under the age of 65 at admission (the oldest person currently registered in the database). This separate extract is covered under Agreement DARS-NIC-155843-0MQMK.
• Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set
To address aims 2 and 3 evaluating clinical care pathways and time to diagnosis also require data of all admissions prior to cancer diagnosis. The late health effects for childhood and young adult cancer survivors may occur any time after treatment ends and the risk of late effects increases as the cohort ages. In order to fully evaluate the total burden of adverse health events in these survivors’, data are required for as long a time period as possible. This may also include any hospital admissions prior to the patient’s cancer diagnosis to identify any underlying health conditions. The YSRCCYP research team is also notified about any subsequent malignant neoplasms from the National Cancer Registration and Analysis Service prospectively following the original cancer diagnosis and therefore need to retain all historical HES and mental health data in order to scrutinise any such individual’s history of hospital admissions and understand potential reasons for those who experience multiple tumour diagnoses.
• Hospital Episode Statistics Admitted Patient Care (HES APC)
Rates of admission within the cancer survivors have previously been compared to pseudonymised hospital admission rates to work out standardised hospitalization admission ratios and assess whether these differed according to cancer diagnosis, treatment, ethnic group, gender, age group, period of diagnosis and socioeconomic status, using statistical models adjusting for patient case-mix while also incorporating the general background hospital admission rates. (Althumairi, University of Leeds, 2017). To address aim 3 this process will be repeated using the latest data with a focus on specific disease groups, including cardio-metabolic, kidney disease, anxiety and depression, as well as total physical and mental health morbidity data, using a similar methodology as the YSRCCYP research team’s previously published work on cardiovascular disease, respiratory morbidity and cumulative burden.
• Hospital Episode Statistics Outpatients (HES OP)
Aim 4 will examine the lifelong risk for the development of endocrine complications or adverse cardio-metabolic health outcomes attributable to the cancer and/or treatment with a specific focus on these risks in relation to ethnic group and socio-economic status.
Emergency Care Data Set (ECDS)
Aim 5 will enable the YSRCCYP research team to estimate the risk of kidney disease, anxiety and depression among the Yorkshire survivorship cohort, whether this risk has changed over time and the points at which it may appear in the survivor's cancer treatment. The key clinical factors which influence the risk of kidney disease, anxiety and depression will also be identified.
The level of the data will be identifiable this is so that University of Leeds can capture key patient fields such as NHS number, full name, date of birth, sex and postcode so that University of Leeds can access the right person’s medical records and validate key information such as cancer diagnosis, staging and treatment whilst addressing any missing information. These identifiers are stored and then used to enable data linkage with information collected from other sources such as local Patient Managements systems (PPM), HES, National Pupil Database, Department for Work and Pensions (DWP), HMRC and Patient Reported Outcome Measures (PROMs) data as described in the YSRCCYP data flow diagram, as part of the epidemiological research programme to monitor long-term health and social outcomes.
A current research focus is on hospital burden around the time of diagnosis and treatment and monitoring long term risks of hospitalisation associated with cancer treatment. One specific processing activity will relate to describing the risks and prevalence of mental health illness within the cancer cohort compared to the general population. Using data from March 2020 onwards, the study team will examine any changes in the long-term health risks by identifying those individuals in the cohort who tested positive for Sars-Cov-2 infection.
Aim 6 will provide important clinical information on existing health problems, identified from HES data, when describing educational attainment and employment trajectories for the young people diagnosed with cancer in Yorkshire. Specifically, those with existing health problems will be identified and this information will be taken into account as a potential confounding factor when examining the risks of poor educational or employment outcomes among the entire survivor cohort. Furthermore, the YSRCCYP research team will be able to determine whether the risks of poor educational or employment outcomes are exacerbated for those with pre-existing illness.
As a result of the Covid-19 pandemic, a patient’s Covid-19 status and related data (such as date positive status was confirmed and shielding status) are also collected. This enables an analysis of the impact of Covid-19 on cancer treatments for children and young people (such as delays in treatment or non-start of treatments) and long-term health and social outcomes. Also resulting from the changes to working practices in response to the Covid-19 pandemic, data collection is completed remotely where possible. Approval has been obtained from NHS Trusts for remote access to digitalised patient notes.
This type of epidemiological and health services research has the potential to benefit future patients by identifying risk factors which can be used by health professionals to identify those at greatest risk of mental health illness so that interventions and appropriate support can be implemented. It may also reveal important environmental risk factors, examine changes in incidence rates which may help to identify possible causes and understand survival patterns according to ethnic group and socio-economic status in order to ensure that there are no inequalities in outcomes or access to specialist cancer care for certain sub-populations. The research will also have the potential to determine the impact of the COVID-19 pandemic on long-term health outcomes since March 2020.
In order to meet the above objectives, The University of Leeds request an update to the following NHS England NDRS datasets to be supplied as a one off within this agreement.
-Civil Registration Mortality – necessary to calculate survival estimates to examine early mortality and long-term trends in survival for the YSRCCYP cohort.
-NDRS Cancer Registration – necessary to ensure that the YSRCCYP has complete case ascertainment for all patients aged under 30 years in Yorkshire, as well as any subsequent tumours or relapses.
-NDRS National Radiotherapy Dataset (RTDS)
-NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
The level of data will be identifiable necessary to enable linkage of the data with data collected from other sources within the YSRCCYP (local Patient Managements systems (PPM), HES, National Pupil Database, Department for Work and Pensions (DWP), HMRC and Patient Reported Outcome Measures (PROMs). In order to evaluate long-term health and social outcomes. Identifiable data items are essential so that the YSRCCYP data manager can access the right person’s medical records and validate key information such as cancer diagnosis, staging and treatment whilst addressing any missing information.
[11 paragraphs unchanged]
The YSRCCYP database is currently stored on the University of Leeds's cloud platform called LASER which is provided by Microsoft Limited. It is anticipated
to
The University of Leeds will
migrate the data to AIMES Management Services in
late 2023 in
2024, to
which
an amendment to this DSA to update
the
DSA
processor as required
will
then
be
updated through an amendment.
submitted.
Microsoft Limited provides IT hosting services to the University of Leeds and will store the data as contracted by the University of Leeds.
Microsoft Limited also provides IT back up services to the University of Leeds and will store copies of the data as contracted by the University of Leeds.
Microsoft Limited also provides IT back up services to the University of Leeds and will store copies of the data as contracted by the University of Leeds.
The YSRCCYP Scientific Advisory Group provides advice on key strategic objectives, monitors progress on these objectives, monitors the quality of the scientific work of the project and provides guidance on complex issues when needed, e.g. the release of sensitive findings. Details of current members can be found on the YSRCCYP website: https://ysrccyp.org.uk/about/scientific-advisory-group/.
[4 paragraphs unchanged]
The YSRCCYP Scientific Advisory Group provides advice on key strategic objectives, monitors progress on these objectives, monitors the quality of the scientific work of the project and provides guidance on complex issues when needed, e.g. the release of sensitive findings. Details of current members can be found on the YSRCCYP website: https://ysrccyp.org.uk/about/scientific-advisory-group/.
[2 paragraphs unchanged]
Patients are made aware of all data flows through leaflets distributed at the main Principal Treatment Centres, posters on hospital wards, webinars with the local charity funders (Candlelighters Trust) and the YSRCCYP register website and fair processing statement which is published on the University of Leeds website.
University of Leeds have also engaged with groups such as the GenerationR
[10 words unchanged]
research from the YSRCYP is disseminated to young people in accessible forms.
The
This
contract is reliant on the Data Recipient maintaining the continued support for
[8 words unchanged]
to regulations made under section 251 of the NHS Act 2006 (20CAG0133).
National opt-outs will be upheld.
The study has support under section 251 of the NHS Act 2006 to enable the common law duty of confidentiality to be temporarily lifted so that confidential patient information can be processed without consent.
[1 paragraph unchanged]
Expected output
[4 paragraphs unchanged]
• Presentations at Cancer Research UK,
CCLG, TYAC
National Cancer Registration
and
SIOP
Analysis Service Cancer Outcomes annual meeting, Teenage Cancer Trust and the International Society of Paediatric Oncology annual
conferences.
[4 paragraphs unchanged]
• Journals
(e.g. BMC Cancer)
[8 paragraphs unchanged]
• Journals: 2 per year, e.g. germ cell tumour dose intensity paper
[11 words unchanged]
submitted by Dec 2023, cardio-metabolic paper to be submitted by Dec 2024.
Analyses describing educational outcomes will be submitted for publication by Summer 2025 to the International Journal of Cancer (or similar). Work will be submitted to the European Journal of Cancer (or similar) in relation to specific cardio-metabolic disease by Summer 2025. Risks of kidney toxicity will be submitted for publication by Summer 2024 in the British Journal of Cancer (or similar). Risks of anxiety, depression and overall mental health disorders will be submitted for publication by Winter 2025 in the International Journal of Cancer (or similar).
[7 paragraphs unchanged]
Details of risk stratification models and the methodology to derive these for individual patients will be disseminated by the research team to every clinician involved in the care of children and young people (CYP) in August 2025. This will be supported by the Yorkshire & Humber CYP cancer network that holds details of all practicing NHS CYP cancer teams and clinicians in the region.
The linked NHS Digital data alongside the background hospitalisation rates will be used to derive key information which will be provided by the YSRCCYP research team to clinicians involved in the long-term care of young people identifying each individual’s risk stratification group (defined as being at ‘low’, ‘medium’, or ‘high’ risk of future complications or health effects, based upon their previous hospital activity patterns, treatment mortality, dose, cancer type and stage). The risk stratification model will be devised by the YSRCCYP research team and disseminated to clinicians in the Yorkshire and Humber region via the Y&H Children’s and Young People’s Cancer Network (August 2025). Only those clinicians involved in the direct care of individuals with cancer will be provided with details of the risk stratification model. Health care commissioners will be provided with aggregated cancer intelligence data on the number of survivors currently being seen at each NHS Trust according to risk stratification group, so future services can be planned effectively (Summer 2025).
Summary reports of the work and research undertaken will be compiled and also made available on the Yorkshire Register University of Leeds website (www.ysrccyp.org.uk), according to the timelines listed earlier in the document.
All outputs will be aggregated with small number suppression in line with the HES Analysis Guide.
Data will be held for as long as the research project is funded to undertake this piece of epidemiological and applied health research. Current funding expires on 31st May 2027. Subject to securing ongoing funding, the data would be retained until December 2027 to allow sufficient time for completion of analyses, submission and final publication of papers.
Benefits reported
Update as provided on the annual confirmation report submitted 21/12/2023 [14 paragraphs unchanged]
Changed only in punctuation, spacing or capitalisation: Expected measurable benefits, Processing activities.
DARS-NIC-656761-R6H7W-v1.8 1 August 2023 to 30 January 2024
- Title
- Yorkshire Specialist Register of Cancer in Children and Young People ( ODR1516_163 )
- Commercial
- No
- Sublicensing
- No
- Datasets
- 4
- Files released
- 8
Datasets: Civil Registrations of Death; NDRS Cancer Registrations; NDRS National Radiotherapy Dataset (RTDS); NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
Objective for processing
The University of Leeds requires access to National Cancer Registration and Analysis Service (NCRAS) data for the purpose of the following research project: Yorkshire Specialist Register of Cancer in Children and Young People (YSRCCYP). Cancer registration data from the YSRCCYP is used to carry out a programme of epidemiological and applied health research as set out in the Yorkshire Register protocol. The YSRCCYP is a specialist register focusing on tumour registrations diagnosed in the Yorkshire and Humber region since 1974 for patients aged 0-14 years and 1990 for those aged 0-29 years. The YSRCCYP research team, within the University of Leeds, is notified of patients eligible for inclusion in the YSRCCYP either directly by the patient’s treatment centre or via electronic reports from the NCRAS, the latter covered by this Data Sharing Agreement (DSA).
Childhood cancer registration details for those aged 0-15 years are primarily provided via the two Principal Treatment Centres, at Leeds Children’s Hospital and Sheffield Children’s Hospital, with a secondary source being the NCRAS. For 16-29 year olds, these are primarily provided by the NCRAS, with secondary sources being Teenage and Young Adult Principal Treatment Centres in Leeds and Sheffield. The NCRAS is also the primary source of information for these children and young people if diagnosed with any subsequent tumours or relapses at any age and living inside or outside the Yorkshire region at the time.
The NCRAS dataset also provides data on death registrations for any existing tumour registration since 1974 on an annual basis as part of this annual data extract.
The objectives for this study are:
1) Mortality trends paper examining changes over time and differences according to ethnicity, deprivation and stage,
2) Evaluation of cardio-metabolic fatalities, examining differences according to ethnicity, deprivation, stage and treatment
The following NCRAS data will be accessed with this application (DARS-NIC-656761):
• Civil Registration Mortality – necessary to calculate survival estimates to examine early mortality and long-term trends in survival for the YSRCCYP cohort.
• NDRS Cancer Registration – necessary to ensure that the YSRCCYP has complete case ascertainment for all patients aged under 30 years in Yorkshire, as well as any subsequent tumours or relapses.
• NDRS National Radiotherapy Dataset (RTDS)
• NDRS Systemic Anti-Cancer Therapy Dataset (SACT)
The following datasets will be accessed with the DARS BAU sister application (DARS-NIC-11809):
• Mental Health Services Data Set (MHSDS)
• Bridge file: Hospital Episode Statistics to Mental Health Minimum Data Set
• Hospital Episode Statistics Admitted Patient Care (HES APC)
• Hospital Episode Statistics Outpatients (HES OP)
Emergency Care Data Set (ECDS)
The level of the data will be identifiable this is so that University of Leeds can capture key patient fields such as NHS number, full name, date of birth, sex and postcode so that University of Leeds can access the right person’s medical records and validate key information such as cancer diagnosis, staging and treatment whilst addressing any missing information. These identifiers are stored and then used to enable data linkage with information collected from other sources such as local Patient Managements systems (PPM), HES, National Pupil Database, Department for Work and Pensions (DWP), HMRC and Patient Reported Outcome Measures (PROMs) data as described in the YSRCCYP data flow diagram, as part of the epidemiological research programme to monitor long-term health and social outcomes.
The data will be minimised as follows:
• Limited to data for the YSRCCYP cohort identified by the University of Leeds, i.e. patients aged 0-14 years diagnosed with cancer in Yorkshire & the Humber between 1974-1989 and patients aged 0-29 years since 1990.
• All valid ICD10 codes for cause of death.
• ICD10 codes C00 – C97, D00-D05, D07-D48 for second primary tumours.
The University of Leeds is the research sponsor and the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 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.
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it relates to cancer registration, specifically to examine long-term health and social outcomes for children and young people diagnosed in Yorkshire. Findings will provide information on those groups whose outcomes are worse than their peers and this will be used to inform future decisions over patients’ treatment and care.
The funding is provided by the Candlelighters Trust, Leeds. The funding is specifically for the YSRCCYP cohort described. Funding is in place until 31/5/2027. The funder will have no ability to suppress or otherwise limit the publication of findings.
The YSRCCYP database is currently stored on the University of Leeds's cloud platform called LASER which is provided by Microsoft Limited. It is anticipated to migrate the data to AIMES Management Services in late 2023 in which the DSA will then be updated through an amendment.
Microsoft Limited provides IT hosting services to the University of Leeds and will store the data as contracted by the University of Leeds.
Microsoft Limited also provides IT back up services to the University of Leeds and will store copies of the data as contracted by the University of Leeds.
The YSRCCYP Scientific Advisory Group provides advice on key strategic objectives, monitors progress on these objectives, monitors the quality of the scientific work of the project and provides guidance on complex issues when needed, e.g. the release of sensitive findings. Details of current members can be found on the YSRCCYP website: https://ysrccyp.org.uk/about/scientific-advisory-group/.
Data will be accessed by:
• Undergraduate, Masters or PhD students affiliated with the University of Leeds. Any student working with the data held under this Agreement must have completed mandatory data protection and confidentiality training and are subject to the University of Leeds’ policies on data protection and confidentiality. Any students accessing the data will do so under the supervision of a substantive employee of the University of Leeds. The University of Leeds would be responsible and liable for any work carried out by students. These students would only work on the data for the purposes described in this Agreement. Any education benefit gained from carrying out this work would be an associated benefit and would not be the primary reason for the research being conducted nor the primary reason for their involvement.
• An individual from Hull University Teaching Hospitals NHS Trust will be working on specific data extracts for their own clinical academic training, holding an honorary contract (visiting title) with the University of Leeds. The honorary contract holder is a junior doctor who requires research experience as part of their clinical academic training in order for them to continue with their career. They will be performing the statistical analysis for the study. An appropriate contract between the individual and the University of Leeds is in place.
Any individual working with the data held under this Agreement must have completed mandatory data protection and confidentiality training and are subject to the University of Leeds’ policies on data protection and confidentiality. Any individuals accessing the data will do so under the supervision of a substantive employee of the University of Leeds. The University of Leeds would be responsible and liable for any work carried out by these individuals. These individuals would only work on the data for the purposes described in this Agreement. Any education or clinical academic benefit gained from carrying out this work would be an associated benefit and would not be the primary reason for the research being conducted nor the primary reason for their involvement.
The NIHR Clinical Research Fellow within the YSRCCYP team, has led on the development of two national Public and Patient Information and Engagement workshops in February 2022 and April 2022 in conjunction with DATA-CAN exploring young people’s views on the use of health data for research purposes. This included discussion around cancer registration and data linkage with education and employment datasets. There was strong support from the group in favour of these ongoing research activities and these findings are being written-up for publication later this year. The workshops also helped to inform the research strategy because the late effects of cancer were also one of the young people's research priorities. These young people are also supporting University of Leeds in individual research projects and grant applications.
The NIHR Clinical Research Fellow and the Register Statistician, have also represented the work of the YSRCCYP and Candlelighters’ Trust at the ‘Be Curious’ public engagement event for children and their families held at the University of Leeds in May 2023. This was a huge success with numerous families asking questions about the research and expressing interest about being involved in future PPIE events related to the YSRCCYP. There was significant diversity of families attending the event, for example children attended from the Bradford East family hub along with families where English was their second language. This provided University of Leeds with the ability to engage with the harder to reach populations.
University of Leeds have also engaged with groups such as the GenerationR Young People’s Advisory Group at Leeds General Infirmary where the research from the YSRCYP is disseminated to young people in accessible forms.
The contract is reliant on the Data Recipient maintaining the continued support for use of confidential patient information without consent, according to regulations made under section 251 of the NHS Act 2006 (20CAG0133).
National opt-outs will be upheld.
Where individuals have opted out of disease registration by the National Disease Registration Service (NDRS), their data has been permanently removed from the registry and therefore will not be disseminated under this Data Sharing Agreement (DSA). https://digital.nhs.uk/ndrs/patients/opting-out
Expected output
The expected outputs of the processing will be:
• A report of findings to the Candlelighters Trust on an annual basis.
• Submissions to peer reviewed journals, expected to be at least two submissions per year.
• Presentations to the Candlelighters Trust as well as local and regional clinical and research seminars.
• Presentations at Cancer Research UK, CCLG, TYAC and SIOP conferences.
• Publication of infographics on the YSRCCYP’s website: www.ysrccyp.org.uk.
• A database to be utilised as a resource for health research.
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 involving clinicians and researchers working in the childhood and young adult cancer field, e.g. NCRI TYA and Germ Cell tumour Clinical Services Group.
• Webinars open to academic and clinical researchers in the UK.
• Social media
• Posters displayed at Cancer Research UK, CCLG, TYAC and SIOP conferences.
• Patient Information leaflets available at the YSRCCYP website: www.ysrccyp.org.uk.
• Press/media engagement
• Public promotion of the research, e.g. Be Curious event at the University of Leeds.
The target dates for production and dissemination of the outputs are:
• Journals: 2 per year, e.g. germ cell tumour dose intensity paper to be submitted by July 2023, early mortality paper to be submitted by Dec 2023, cardio-metabolic paper to be submitted by Dec 2024.
• Workshops involving clinicians and researchers working in the childhood and young adult cancer field, e.g. NCRI TYA and Germ Cell tumour Clinical Services Group: 3 per year.
• Webinars open to academic and clinical researchers in the UK: 2 per year.
• Social media: coinciding with each journal publication, 2 per year.
• Posters displayed at Cancer Research UK, CCLG, TYAC and SIOP conferences: 3 per year.
• Patient Information leaflets available at the YSRCCYP website: www.ysrccyp.org.uk: ongoing and updated regularly.
• Press/media engagement: coinciding with each journal publication, 2 per year.
• Public promotion of the research, e.g. Be Curious event at the University of Leeds: twice per year.
Benefits reported
Multiple peer-reviewed publications describing the epidemiology and long-term outcomes for children and young people diagnosed with cancer in Yorkshire.
A full list can be found here:
https://ysrccyp.org.uk/research/publications/
Some specific examples:
1) The data collected as part of the YSRCCYP has allowed researchers to better understand the burden on NHS services of late cardiovascular and respiratory morbidity as well as second cancers survivors and quantifies the long-term risk of such morbidity for survivors and healthcare professionals looking after them. It has enabled childhood and young adult cancer survivors and their families to understand more about their own risk of developing these longer-term health problems according to their original diagnosis and treatment, and at what age they are most likely to appear. In effect, young cancer patients have been able to take ownership of their own survivorship.
2) The YSRCCYP database has facilitated the production of an up-to-date summary of the latest literature relating to late consequences of cancer treatment on reproductive health, describing the impact on both fertility and pregnancy. This has provided awareness and information to cancer survivors from Yorkshire about reproductive outcomes to enable them to plan fertility storage at the earliest opportunity and maximise the chances of having
their own offspring. Additionally, the identification of a sparsity of evidence on outcomes of ovarian and testicular tissue resulted in establishment of a multi-centre initiative to establish a population based register of individuals with stored ovarian and testicular tissue in the United Kingdom (UK).
3) It has allowed researchers to quantify respiratory morbidities, treatment-related risks and their relationship to subsequent morbidity and mortality among long-term survivors of childhood and young adult cancer in Yorkshire. This information has been made available to the clinical community in Yorkshire in the form of research papers, regular webinars and infographics so that those health professionals looking after young cancer survivors are able
to inform them of their risks of morbidity depending on their original cancer diagnosis and treatment, and at what age these are likely to be develop.
4) It has allowed researchers to quantify the prevalence and spectrum of mental health problems found in adult survivors of childhood cancer, based on a systematic review of the current evidence. Problems ranged from depression, anxiety, behavioural problems and drug misuse. Factors increasing the likelihood of mental health problems included treatment with high-dose anthracyclines, cranial irradiation, diagnoses of sarcoma or central nervous system tumours and ongoing physical ill health. The review recommended further work to identify
childhood cancer patients who are at risk of developing late mental health morbidity.
5)The first comprehensive analysis of hospital mental health episodes following CTYA cancer treatment (Friend, PhD thesis, 2020), preceded by a systematic review of the current evidence (Friend et al, Int J Cancer 2018).
6)The YSRCCYP research team found that the National Cancer Survivorship Initiative paediatric late-effects risk stratification system can be effectively and safely applied to cancer patients aged 18-29, independent of ethnicity or socioeconomic position. This evidence has supported clinical services in Yorkshire and further afield across the UK to safely adopt risk-stratified care pathways for the long term follow up of individuals living with and beyond
cancer.
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.
-
September 2023 —
first listed. 1 version: DARS-NIC-656761-R6H7W-v1.8
-
March 2024
1 version added: DARS-NIC-656761-R6H7W-v2.6
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-656761-R6H7W, “Yorkshire Specialist Register of Cancer in Children and Young People ( ODR1516_163 )”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-656761-r6h7w/ (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-656761-R6H7W to see the original rows.