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The Birmingham COPD Cohort study

University of Birmingham · Academic

Expired The latest version ended on 2 November 2022. The September 2026 register still lists the agreement, but its term has passed.

Reference
DARS-NIC-24810-Q6T3B
Latest version
v6.1
Term of latest version
3 November 2021 to 2 November 2022
Start date
Before 19 January 2019
Data controller
Sole Data Controller
Commercial purposes
No
Sublicensing
No
Files released to date
0

Why the data was released

Objective for processing

This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period.

Data held by the University of Birmingham must be securely stored and not otherwise processed.

The following provides background information on the purpose of the original study:

The Birmingham COPD Cohort study is a three-year longitudinal study of primary care COPD patients; a substantial work package within a NIHR-funded research programme grant (ref: RP-PG-0109-10061, 01/01/2011 – 31/12/2016). Chronic Obstructive Pulmonary Disease (COPD) is an important health problem, accounting for significant health service and societal costs. However the natural history and factors affecting prognosis are poorly understood and interventions for early disease are limited. There is also considerable under-diagnosis, resulting in potential unmet need.

A better understanding of factors that determine prognosis, particularly those that are modifiable, is essential for informing future interventions. In addition, a better understanding of prognosis helps inform patient management decisions, and facilitates doctor patient relationships. A number of prognostic indices have been developed and are currently used, which typically aim to predict either mortality or hospitalisation. The BLISS research team wishes to process data relating to hospitalisation and mortality in order to generate the prognostic indices for the COPD Cohort Study participants. These data are unavailable from other sources and will be more accurate and complete than self-reported information.

The Birmingham COPD Cohort study uses all-cause hospitalisation within three years as the primary outcome, with secondary outcomes including number and duration of hospitalisations, respiratory hospitalisations, healthcare costs and mortality.

COPD patients are at high risk of hospitalisations due to exacerbations, when their symptoms worsen and cannot be adequately controlled at home. However, due to the number of comorbidities common in this patient group (e.g. heart disease) and the complex interactions between them, the cause of hospitalisation is often miscoded. If the data requested were limited to admissions coded as being respiratory-related, a substantial proportion of admissions would be missed, therefore underrepresenting the burden on hospitals associated with COPD. Only age-appropriate variables (e.g. not paediatric or maternity) are requested, hence adhering to data minimisation. The data fields requested were critically reviewed in the initial application leading to a reduction in the number of fields requested.

For the above reasons, the study protocol was written with all-cause hospitalisations as the primary outcome. The study is funded by the NIHR to answer specific research questions; primarily the prediction of all-cause hospitalisation within this patient group. A power calculation was used to determine the number of recruited patients needed to answer the question, and result in statistically significant findings. Now the study is nearing completion the primary outcome cannot be changed, as this would contravene the study protocol and the funding agreement with the NIHR.

The study is also funded to collect and analyse secondary outcomes including A&E admissions and outpatient appointments, to assess how patients’ lung health affects healthcare utilisation overall.

The above explains why HES A&E attendance, outpatients, admitted patient care and critical care products are requested. Data covering 2007/08 to 2015/16 (and 2008/09 to 2015/16 for Critical Care) is required across all HES datasets for this purpose. In addition, Civil Registration Mortality data is also required of which will be restricted to the cohort participants with a HES entry between 01/04/2012 to 31/03/2016. Full Date of Death is substituted for a derived Month and Year Date of Death.

The University of Birmingham is the data controller and also processes the data for this study. No other organisations process the data for this purpose.

The long-term follow-up of all eligible patients is in the interests of the health of the public. The University of Birmingham can therefore lawfully process the data under GDPR Articles 6(1)(e) (processing is necessary for the performance of a task in the public interest) and 9(2)(j) (processing is necessary for… scientific or historical research purposes). Considerable resources would be required for the primary care sector to adopt methods used in the Birmingham COPD Cohort study to diagnose COPD patients earlier. If long-term analysis demonstrates that hospital usage and mortality is not reduced through earlier COPD diagnosis, it would indicate that NHS resources could be better spent in other ways. Evidence from the current study will be produced as a final report for the National Institute for Health Research as well as peer-reviewed academic papers, hence disseminating evidence to policy makers and academic researchers.

Processing activities

Under this Agreement, the data may be securely stored but not otherwise processed. No new data will be provided by NHS Digital under this Agreement.

The study data, including data provided by NHS Digital under previous agreements, are currently held by the University of Birmingham.

The following provides background on the processing activities undertaken prior to this Agreement:

Patients were recruited to the study between June 2012 and June 2014. Following their baseline study assessment, patients were sent six-monthly postal questionnaires until the date of the follow-up study assessment (approx. 2.5 years after baseline). The research team also disseminated newsletters to all patients, providing study updates and notifying patients of relevant information.

Due to the dissemination of postal questionnaires and other study correspondence, the team were able to maintain current contact details for study participants, often receiving returned correspondence or contact from patients’ relatives if they had moved address or died. If patients had moved address, the study team contacted patients’ GP practices to obtain new contact details.

At the time of recruitment, the participants were provided with the Patient Information Leaflet and asked to sign the Consent form. All participants were written to in the summer of 2014, giving further information about the sharing of data with HSCIC (now NHS Digital) for linkage purposes and offering the opportunity for participants to object. This information and clarification of the intention to seek mortality data via the HSCIC was also published on the BLISS study’s website in the section: ‘Information for patients and the public’.

The data requested via NHS Digital will be downloaded to a University of Birmingham computer, saving it in a restricted area of the University server that is only accessible to specified members of the research team. Data within this area of the server will be backed up internally (not on to tape), so that data can be fully deleted within 2 weeks of a deletion request from NHS Digital. All data will be processed and stored at the University of Birmingham and only accessed by substantive employees of University of Birmingham.

The Birmingham COPD Cohort study started in 2012, with patient-level data being obtained from various sources (patient study assessments, patient self-completion questionnaires and general practice clinical systems) between study commencement and the current time. Baseline and 3 year follow-up study assessments are conducted by trained research assistants, with patients returning six-monthly self-completion questionnaire via post between these time points. Routine data (e.g. comorbidities and prior test results) was extracted from general practice clinical systems, covered by the patient informed consent obtained at baseline and signed Data Sharing Agreements with each participating general practice.

The data collected from these sources are stored in pseudonymised form and linked using common participant-specific study ID numbers. Participant identifiers linked to the study ID numbers are stored separately and held only for administrative purposes and for use in facilitating linkage to other data.

2,291 participants have consented to participate in the COPD Cohort Study and HES data plus linked civil registration mortality data were requested in relation to these participants. Under a previous iteration of this Data Sharing Agreement, the University of Birmingham sent (to NHS Digital) NHS Number, Surname, Forename, Date of Birth, Postcode, and sex plus a unique study ID for use in linking the data. Pseudonymised data was returned to the University of Birmingham with the study ID as the only identifier. NHS Digital supplied month and year of death but not full date of death to maintain effective pseudonymisation.

The supplementary HES and mortality data was merged into the existing pseudonymised dataset using study ID. It will not be re-identified and will be stored separately from the participant identifiers.

Linking the stated data sources allowed the research team to explore health care usage and prognosis of COPD patients. The analyses will use the pseudonymised data only.

Prognostic indices are used in various diseases, such as heart disease, to identify patients at risk of developing a negative health outcome e.g. heart attack. The ability to assess patients’ level of risk is then used to inform the shared decision making process as well as treatment decisions, to optimise patient outcomes. Several multidimensional prognostic indices (PI) for COPD have been developed, mostly based on patients with moderate/severe COPD. PIs have been developed to predict a range of outcomes including mortality, hospitalisations and exacerbations. The Birmingham COPD Cohort study will examine the performance of these indices in a primary care COPD population, and the study team needs HES data to generate these indices. Prognostic indices are based on various components (e.g. the ADO index is based on Age Dyspnoea Obstruction; the DOSE index is based on Dyspnoea, Obstruction Smoking Exacerbations; the HADO-AH index is based on Health Activity Dyspnoea Obstruction Age Hospitalisations, etc.) While the study team has collected much of the data from the study patients, some of the data (e.g. hospitalisations, exacerbations) are only accurately held by HES. For example, although study patients are asked about hospitalisations in study postal questionnaires, not all patients reply and self-reported is subject to recall bias (memory). HES data should be complete and reliable. The study team is examining the performance of the prognostic indices to determine if they accurately predict primary care patients’ risk of events (e.g. hospitalisation or death). If indices are not found to be accurate, the team will modify the indices or develop a new prognostic index to more accurately predict future events.

All organisations party to this agreement must comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by “Personnel” (as defined within the Data Sharing Framework Contract ie: employees, agents and contractors of the Data Recipient who may have access to that data).

Expected output

This Agreement permits the secure retention of the data only and no other processing.

No new outputs will be produced under this Data Sharing Agreement.

The University of Birmingham submitted the final report to the funders (NIHR) in June 2020, which provided a narrative on the methodology, the results, the conclusions and recommendations. The Cohort study developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management.

The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period. The main paper regarding the prognostic model is being submitted for publication shortly, and we hope it will be published by the end of 2020.

Outputs present group-level data only (e.g. proportion of patients with specified characteristics/outcomes). All data included in outputs are aggregated with small numbers suppressed in line with the HES Analysis Guide. The funder’s report is solely for the purposes of the funding body. All academic publications will be ‘open-access’ (available to members of the public without cost) and will be available on the websites of the publishing journal as well as through the study website (www.birmingham.ac.uk/bliss).

All outputs contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.

Expected measurable benefits

This Agreement permits the secure retention of the data only and no other processing.

The funder of this study is an NHS organisation that rigorously peer reviewed the aims of the research and was satisfied that there is a benefit for this work within the health and social care sector.

Prognostic models are useful for communicating with patients and for planning health services. The existing prognostic models are based on patients with more advanced COPD but the BLISS research team have used the data collected from this cohort study to examine the validity of the main model in a primary care COPD population, including patients with very early disease. The findings indicate that the current best model has some limitations in people with earlier stage COPD by over-predicting mortality. Furthermore, models that predict hospitalisation were limited. More accurate prognostic estimation will be of use to health service planners and policy makers in predicting the future need for services. The project has now developed a more appropriate model for use in primary care to predict hospitalisation. This will be published in academic peer-reviewed journals and presented at relevant conferences.

Such outputs will address an important evidence gap within respiratory health which has been recently highlighted by NICE, leading to improved patient outcomes (e.g. symptoms, hospitalisation rates) and reduced costs to the NHS.

The planned disseminations are expected to lead to evaluation of the findings by NIHR and other interested parties involved in setting national guidelines such as NICE. The BLISS study team expects the recommendations for new/improved models to be implementable in primary care within 5 years of study completion. This time frame reflects the fact that the outputs from this study will contribute to a body of evidence from multiple research studies that provide cumulative evidence forming a consensus on which policy and best practice guidelines are based.

Patients will benefit because their COPD will be recognised earlier and treatment options will be available to them. Better treatment decisions will be possible (therefore potentially improving their quality of life and survival) as a result of the new prognostic model that we have developed. The main modifiable factors that are associated with poor work productivity and unemployment in people with COPD have been identified. This will help inform future interventions that could help improve future work productivity.

Benefits reported so far

Not stated in the register.

Datasets on the latest version

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

Datasets approved under DARS-NIC-24810-Q6T3B-v6.1
DatasetType of dataSensitivity FrequencyConfidential data
Civil Registrations of Death - Secondary Care Cut Identifiable Sensitive One-Off Consent (Reasonable Expectation)
HES:Civil Registration (Deaths) bridge Identifiable Non-Sensitive One-Off 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 One-Off Consent (Reasonable Expectation)
Hospital Episode Statistics Critical Care (HES Critical Care) Identifiable Non-Sensitive One-Off Consent (Reasonable Expectation)
Hospital Episode Statistics Outpatients (HES OP) Identifiable Non-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.

No files recorded as released under this agreement.

Version history

The register lists each renewal of this agreement as a separate row. This site has 4 versions — earlier versions existed before this site's records begin.

DARS-NIC-24810-Q6T3B-v6.1 3 November 2021 to 2 November 2022
Title
The Birmingham COPD Cohort study
Commercial
No
Sublicensing
No
Datasets
6
Files released
0

Datasets: Civil Registrations of Death - Secondary Care Cut; HES:Civil Registration (Deaths) bridge; 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)

What changed from DARS-NIC-24810-Q6T3B-v5.2

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

Fields changed from DARS-NIC-24810-Q6T3B-v5.2
FieldWasBecame
Start date2020-11-022021-11-03
End date2021-11-012022-11-02

Objective for processing

This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling the University of Birmingham to determine whether or not it will seek permission from NHS Digital to retain the data under this Agreement for a longer period. Should the University of Birmingham wish to retain the data for a longer period, the University of Birmingham must submit a subsequent application to extend this Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance). This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. Data held by the University of Birmingham must be securely stored and not otherwise processed. [10 paragraphs unchanged]

Expected output

[5 paragraphs unchanged] All outputs will contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.

Unchanged: Processing activities, Expected measurable benefits.

DARS-NIC-24810-Q6T3B-v5.2 2 November 2020 to 1 November 2021
Title
The Birmingham COPD Cohort study
Commercial
No
Sublicensing
No
Datasets
6
Files released
0

Datasets: Civil Registrations of Death - Secondary Care Cut; HES:Civil Registration (Deaths) bridge; 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)

What changed from DARS-NIC-24810-Q6T3B-v4.2

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

Fields changed from DARS-NIC-24810-Q6T3B-v4.2
FieldWasBecame
Start date2020-01-192020-11-02
End date2020-11-012021-11-01

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

Objective for processing

This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling the University of Birmingham to determine whether or not it will seek permission from NHS Digital to retain the data under this Agreement for a longer period. Should the University of Birmingham wish to retain the data for a longer period, the University of Birmingham must submit a subsequent application to extend this Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance).

The following provides background information on the purpose of the original study:

The Birmingham COPD Cohort study is a three-year longitudinal study of primary care COPD patients; a substantial work package within a NIHR-funded research programme grant (ref: RP-PG-0109-10061, 01/01/2011 – 31/12/2016). Chronic Obstructive Pulmonary Disease (COPD) is an important health problem, accounting for significant health service and societal costs. However the natural history and factors affecting prognosis are poorly understood and interventions for early disease are limited. There is also considerable under-diagnosis, resulting in potential unmet need.

A better understanding of factors that determine prognosis, particularly those that are modifiable, is essential for informing future interventions. In addition, a better understanding of prognosis helps inform patient management decisions, and facilitates doctor patient relationships. A number of prognostic indices have been developed and are currently used, which typically aim to predict either mortality or hospitalisation. The BLISS research team wishes to process data relating to hospitalisation and mortality in order to generate the prognostic indices for the COPD Cohort Study participants. These data are unavailable from other sources and will be more accurate and complete than self-reported information.

The Birmingham COPD Cohort study uses all-cause hospitalisation within three years as the primary outcome, with secondary outcomes including number and duration of hospitalisations, respiratory hospitalisations, healthcare costs and mortality.

COPD patients are at high risk of hospitalisations due to exacerbations, when their symptoms worsen and cannot be adequately controlled at home. However, due to the number of comorbidities common in this patient group (e.g. heart disease) and the complex interactions between them, the cause of hospitalisation is often miscoded. If the data requested were limited to admissions coded as being respiratory-related, a substantial proportion of admissions would be missed, therefore underrepresenting the burden on hospitals associated with COPD. Only age-appropriate variables (e.g. not paediatric or maternity) are requested, hence adhering to data minimisation. The data fields requested were critically reviewed in the initial application leading to a reduction in the number of fields requested.

For the above reasons, the study protocol was written with all-cause hospitalisations as the primary outcome. The study is funded by the NIHR to answer specific research questions; primarily the prediction of all-cause hospitalisation within this patient group. A power calculation was used to determine the number of recruited patients needed to answer the question, and result in statistically significant findings. Now the study is nearing completion the primary outcome cannot be changed, as this would contravene the study protocol and the funding agreement with the NIHR.

The study is also funded to collect and analyse secondary outcomes including A&E admissions and outpatient appointments, to assess how patients’ lung health affects healthcare utilisation overall.

The above explains why HES A&E attendance, outpatients, admitted patient care and critical care products are requested. Data covering 2007/08 to 2015/16 (and 2008/09 to 2015/16 for Critical Care) is required across all HES datasets for this purpose. In addition, Civil Registration Mortality data is also required of which will be restricted to the cohort participants with a HES entry between 01/04/2012 to 31/03/2016. Full Date of Death is substituted for a derived Month and Year Date of Death.

The University of Birmingham is the data controller and also processes the data for this study. No other organisations process the data for this purpose.

The long-term follow-up of all eligible patients is in the interests of the health of the public. The University of Birmingham can therefore lawfully process the data under GDPR Articles 6(1)(e) (processing is necessary for the performance of a task in the public interest) and 9(2)(j) (processing is necessary for… scientific or historical research purposes). Considerable resources would be required for the primary care sector to adopt methods used in the Birmingham COPD Cohort study to diagnose COPD patients earlier. If long-term analysis demonstrates that hospital usage and mortality is not reduced through earlier COPD diagnosis, it would indicate that NHS resources could be better spent in other ways. Evidence from the current study will be produced as a final report for the National Institute for Health Research as well as peer-reviewed academic papers, hence disseminating evidence to policy makers and academic researchers.

Expected output

This Agreement permits the secure retention of the data only and no other processing.

No new outputs will be produced under this Data Sharing Agreement.

The University of Birmingham submitted the final report to the funders (NIHR) in June 2020, which provided a narrative on the methodology, the results, the conclusions and recommendations. The Cohort study developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management.

The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period. The main paper regarding the prognostic model is being submitted for publication shortly, and we hope it will be published by the end of 2020.

Outputs present group-level data only (e.g. proportion of patients with specified characteristics/outcomes). All data included in outputs are aggregated with small numbers suppressed in line with the HES Analysis Guide. The funder’s report is solely for the purposes of the funding body. All academic publications will be ‘open-access’ (available to members of the public without cost) and will be available on the websites of the publishing journal as well as through the study website (www.birmingham.ac.uk/bliss).

All outputs will contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.

DARS-NIC-24810-Q6T3B-v4.2 19 January 2020 to 1 November 2020
Title
The Birmingham COPD Cohort study
Commercial
No
Sublicensing
No
Datasets
6
Files released
0

Datasets: Civil Registrations of Death - Secondary Care Cut; HES:Civil Registration (Deaths) bridge; 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)

What changed from DARS-NIC-24810-Q6T3B-v3.7

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

Fields changed from DARS-NIC-24810-Q6T3B-v3.7
FieldWasBecame
Start date2019-01-192020-01-19
End date2020-01-182020-11-01

Objective for processing

This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling the University of Birmingham to determine whether or not it will seek permission from NHS Digital to retain the data under this Agreement for a longer period. Should the University of Birmingham wish to retain the data for a longer period, the University of Birmingham must submit a subsequent application to extend this Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance). The following provides background information on the purpose of the original study: [9 paragraphs unchanged]

Processing activities

Under this Agreement, the data may be securely stored but not otherwise processed. No new data will be provided by NHS Digital under this Agreement. The study data, including data provided by NHS Digital under previous agreements, are currently held by the University of Birmingham. The following provides background on the processing activities undertaken prior to this Agreement: [11 paragraphs unchanged]

Expected output

A report is being submitted to the funders (NIHR) which provides a narrative on the methodology, the results, the conclusions and recommendations. The project has developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management. This Agreement permits the secure retention of the data only and no other processing. The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period. No new outputs will be produced under this Data Sharing Agreement. The University of Birmingham submitted the final report to the funders (NIHR) in June 2020, which provided a narrative on the methodology, the results, the conclusions and recommendations. The Cohort study developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management. The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period. The main paper regarding the prognostic model is being submitted for publication shortly, and we hope it will be published by the end of 2020. [2 paragraphs unchanged]

Expected measurable benefits

The funder is an NHS organisation that rigorously peer reviewed the aims of the research and was satisfied that there is a benefit for this work within the health and social care sector. This Agreement permits the secure retention of the data only and no other processing. The funder of this study is an NHS organisation that rigorously peer reviewed the aims of the research and was satisfied that there is a benefit for this work within the health and social care sector. [4 paragraphs unchanged]

Benefits reported

Stated in the previous version and removed here.

In line with the above statement, the analyses and measurable benefits for this study are planned for 2019 and beyond. Although the main analyses are completed for the report to the NIHR (the funder), further analyses are ongoing for publication of academic papers and conference presentations at a later date

Objective for processing

This Data Sharing Agreement permits the retention of the data provided under previous iterations of this Agreement for an interim period. This is a pragmatic approach to provide an active Agreement whilst enabling the University of Birmingham to determine whether or not it will seek permission from NHS Digital to retain the data under this Agreement for a longer period. Should the University of Birmingham wish to retain the data for a longer period, the University of Birmingham must submit a subsequent application to extend this Agreement meeting all applicable data sharing standards as published in NHS Digital’s website (see: https://digital.nhs.uk/services/data-access-request-service-dars/dars-guidance).

The following provides background information on the purpose of the original study:

The Birmingham COPD Cohort study is a three-year longitudinal study of primary care COPD patients; a substantial work package within a NIHR-funded research programme grant (ref: RP-PG-0109-10061, 01/01/2011 – 31/12/2016). Chronic Obstructive Pulmonary Disease (COPD) is an important health problem, accounting for significant health service and societal costs. However the natural history and factors affecting prognosis are poorly understood and interventions for early disease are limited. There is also considerable under-diagnosis, resulting in potential unmet need.

A better understanding of factors that determine prognosis, particularly those that are modifiable, is essential for informing future interventions. In addition, a better understanding of prognosis helps inform patient management decisions, and facilitates doctor patient relationships. A number of prognostic indices have been developed and are currently used, which typically aim to predict either mortality or hospitalisation. The BLISS research team wishes to process data relating to hospitalisation and mortality in order to generate the prognostic indices for the COPD Cohort Study participants. These data are unavailable from other sources and will be more accurate and complete than self-reported information.

The Birmingham COPD Cohort study uses all-cause hospitalisation within three years as the primary outcome, with secondary outcomes including number and duration of hospitalisations, respiratory hospitalisations, healthcare costs and mortality.

COPD patients are at high risk of hospitalisations due to exacerbations, when their symptoms worsen and cannot be adequately controlled at home. However, due to the number of comorbidities common in this patient group (e.g. heart disease) and the complex interactions between them, the cause of hospitalisation is often miscoded. If the data requested were limited to admissions coded as being respiratory-related, a substantial proportion of admissions would be missed, therefore underrepresenting the burden on hospitals associated with COPD. Only age-appropriate variables (e.g. not paediatric or maternity) are requested, hence adhering to data minimisation. The data fields requested were critically reviewed in the initial application leading to a reduction in the number of fields requested.

For the above reasons, the study protocol was written with all-cause hospitalisations as the primary outcome. The study is funded by the NIHR to answer specific research questions; primarily the prediction of all-cause hospitalisation within this patient group. A power calculation was used to determine the number of recruited patients needed to answer the question, and result in statistically significant findings. Now the study is nearing completion the primary outcome cannot be changed, as this would contravene the study protocol and the funding agreement with the NIHR.

The study is also funded to collect and analyse secondary outcomes including A&E admissions and outpatient appointments, to assess how patients’ lung health affects healthcare utilisation overall.

The above explains why HES A&E attendance, outpatients, admitted patient care and critical care products are requested. Data covering 2007/08 to 2015/16 (and 2008/09 to 2015/16 for Critical Care) is required across all HES datasets for this purpose. In addition, Civil Registration Mortality data is also required of which will be restricted to the cohort participants with a HES entry between 01/04/2012 to 31/03/2016. Full Date of Death is substituted for a derived Month and Year Date of Death.

The University of Birmingham is the data controller and also processes the data for this study. No other organisations process the data for this purpose.

The long-term follow-up of all eligible patients is in the interests of the health of the public. The University of Birmingham can therefore lawfully process the data under GDPR Articles 6(1)(e) (processing is necessary for the performance of a task in the public interest) and 9(2)(j) (processing is necessary for… scientific or historical research purposes). Considerable resources would be required for the primary care sector to adopt methods used in the Birmingham COPD Cohort study to diagnose COPD patients earlier. If long-term analysis demonstrates that hospital usage and mortality is not reduced through earlier COPD diagnosis, it would indicate that NHS resources could be better spent in other ways. Evidence from the current study will be produced as a final report for the National Institute for Health Research as well as peer-reviewed academic papers, hence disseminating evidence to policy makers and academic researchers.

Expected output

This Agreement permits the secure retention of the data only and no other processing.

No new outputs will be produced under this Data Sharing Agreement.

The University of Birmingham submitted the final report to the funders (NIHR) in June 2020, which provided a narrative on the methodology, the results, the conclusions and recommendations. The Cohort study developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management.

The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period. The main paper regarding the prognostic model is being submitted for publication shortly, and we hope it will be published by the end of 2020.

Outputs present group-level data only (e.g. proportion of patients with specified characteristics/outcomes). All data included in outputs are aggregated with small numbers suppressed in line with the HES Analysis Guide. The funder’s report is solely for the purposes of the funding body. All academic publications will be ‘open-access’ (available to members of the public without cost) and will be available on the websites of the publishing journal as well as through the study website (www.birmingham.ac.uk/bliss).

All outputs will contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.

DARS-NIC-24810-Q6T3B-v3.7 19 January 2019 to 18 January 2020
Title
The Birmingham COPD Cohort study
Commercial
No
Sublicensing
No
Datasets
6
Files released
0

Datasets: Civil Registrations of Death - Secondary Care Cut; HES:Civil Registration (Deaths) bridge; 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)

Objective for processing

The Birmingham COPD Cohort study is a three-year longitudinal study of primary care COPD patients; a substantial work package within a NIHR-funded research programme grant (ref: RP-PG-0109-10061, 01/01/2011 – 31/12/2016). Chronic Obstructive Pulmonary Disease (COPD) is an important health problem, accounting for significant health service and societal costs. However the natural history and factors affecting prognosis are poorly understood and interventions for early disease are limited. There is also considerable under-diagnosis, resulting in potential unmet need.

A better understanding of factors that determine prognosis, particularly those that are modifiable, is essential for informing future interventions. In addition, a better understanding of prognosis helps inform patient management decisions, and facilitates doctor patient relationships. A number of prognostic indices have been developed and are currently used, which typically aim to predict either mortality or hospitalisation. The BLISS research team wishes to process data relating to hospitalisation and mortality in order to generate the prognostic indices for the COPD Cohort Study participants. These data are unavailable from other sources and will be more accurate and complete than self-reported information.

The Birmingham COPD Cohort study uses all-cause hospitalisation within three years as the primary outcome, with secondary outcomes including number and duration of hospitalisations, respiratory hospitalisations, healthcare costs and mortality.

COPD patients are at high risk of hospitalisations due to exacerbations, when their symptoms worsen and cannot be adequately controlled at home. However, due to the number of comorbidities common in this patient group (e.g. heart disease) and the complex interactions between them, the cause of hospitalisation is often miscoded. If the data requested were limited to admissions coded as being respiratory-related, a substantial proportion of admissions would be missed, therefore underrepresenting the burden on hospitals associated with COPD. Only age-appropriate variables (e.g. not paediatric or maternity) are requested, hence adhering to data minimisation. The data fields requested were critically reviewed in the initial application leading to a reduction in the number of fields requested.

For the above reasons, the study protocol was written with all-cause hospitalisations as the primary outcome. The study is funded by the NIHR to answer specific research questions; primarily the prediction of all-cause hospitalisation within this patient group. A power calculation was used to determine the number of recruited patients needed to answer the question, and result in statistically significant findings. Now the study is nearing completion the primary outcome cannot be changed, as this would contravene the study protocol and the funding agreement with the NIHR.

The study is also funded to collect and analyse secondary outcomes including A&E admissions and outpatient appointments, to assess how patients’ lung health affects healthcare utilisation overall.

The above explains why HES A&E attendance, outpatients, admitted patient care and critical care products are requested. Data covering 2007/08 to 2015/16 (and 2008/09 to 2015/16 for Critical Care) is required across all HES datasets for this purpose. In addition, Civil Registration Mortality data is also required of which will be restricted to the cohort participants with a HES entry between 01/04/2012 to 31/03/2016. Full Date of Death is substituted for a derived Month and Year Date of Death.

The University of Birmingham is the data controller and also processes the data for this study. No other organisations process the data for this purpose.

The long-term follow-up of all eligible patients is in the interests of the health of the public. The University of Birmingham can therefore lawfully process the data under GDPR Articles 6(1)(e) (processing is necessary for the performance of a task in the public interest) and 9(2)(j) (processing is necessary for… scientific or historical research purposes). Considerable resources would be required for the primary care sector to adopt methods used in the Birmingham COPD Cohort study to diagnose COPD patients earlier. If long-term analysis demonstrates that hospital usage and mortality is not reduced through earlier COPD diagnosis, it would indicate that NHS resources could be better spent in other ways. Evidence from the current study will be produced as a final report for the National Institute for Health Research as well as peer-reviewed academic papers, hence disseminating evidence to policy makers and academic researchers.

Expected output

A report is being submitted to the funders (NIHR) which provides a narrative on the methodology, the results, the conclusions and recommendations. The project has developed a new prognostic model, including 9 variables, which performs well in predicting hospital admissions among people with COPD. This model can be used to guide and to prioritise patient management.

The findings of the overall study and the results of interim analyses during the study period will also be and, in the case of some interim findings, have been be disseminated via academic peer-reviewed papers and conference presentations. Publications and presentations will continue beyond the current study period.

Outputs present group-level data only (e.g. proportion of patients with specified characteristics/outcomes). All data included in outputs are aggregated with small numbers suppressed in line with the HES Analysis Guide. The funder’s report is solely for the purposes of the funding body. All academic publications will be ‘open-access’ (available to members of the public without cost) and will be available on the websites of the publishing journal as well as through the study website (www.birmingham.ac.uk/bliss).

All outputs will contain only data that is aggregated with small numbers suppressed in line with the HES Analysis Guide.

Benefits reported

In line with the above statement, the analyses and measurable benefits for this study are planned for 2019 and beyond. Although the main analyses are completed for the report to the NIHR (the funder), further analyses are ongoing for publication of academic papers and conference presentations at a later date

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-24810-Q6T3B, “The Birmingham COPD Cohort study”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-24810-q6t3b/ (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-24810-Q6T3B to see the original rows.