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Investigating the relationship between Quality of Primary Care and Hospitalisation: A spatial whole population study for England

The University of Manchester · Academic

Expired The latest version ended on 30 April 2022. The September 2026 register still lists the agreement, but its term has passed.

Reference
DARS-NIC-73469-F3B9N
Latest version
v2.8
Term of latest version
23 October 2019 to 30 April 2022
Start date
Before 1 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

The University of Manchester requires unsuppressed aggregated HES Admitted Patient Care data from NHS Digital for a study that aims to investigate and quantify the relationships between recorded general practice performance. This performance is as measured in the Quality and Outcomes Framework (QOF), at population level in England and cause-specific hospitalisations. The purpose of this project is to investigate the effects of one of the largest Pay-for-performance (P4P) programmes worldwide which has attracted substantial attention from media, policy makers and the public. Furthermore, this study will analyse the relationship between area-based measures such as deprivation and social fragmentation with hospital admissions. There is public interest to process the data due to the increased numbers of admissions which may be preventable through high quality primary care and there is limited evidence to support this statement. Therefore, the data will be processed under Article 6 (1) (e) and Article 9 (2) (j) of the GDPR. The study will not use personal identifying data as the tabulation refers to aggregated data therefore the privacy impact is minimal.

This study is in the interests of the public as this study will explore whether there has been any effect on all cause and cause-specific hospitalisations (reductions/increases) due to financial incentives, targeted to improve the quality of services in Primary Care in the UK between 2006 and 2019. This analysis will be conducted longitudinally as well as cross-sectionally while controlling for factors that are known to have an effect on hospitalisations. The study will utilise HES Admitted Patient care data as it is deemed it to be the most robust and high-quality data on hospitalisations for the UK, which are available at the level of Lower Super Output Area (LSOA).

The QOF is one of the most comprehensive P4P schemes of its kind and it was introduced in 2004 to improve quality of Primary Care in the UK. However, doubts on its impact and value mean that the UK is now retreating from using incentives in primary care. The impact of the QOF on hospital admissions has been a matter of continuous debate among policy makers and the public and its effects are largely unknown. Furthermore, the QOF comes with large costs and there exist questions on whether this budget is spent efficiently. The NHS has published several reports on the QOF and there exists substantial public interest on the future of the scheme and the whether the QOF can be integrated in the modern English Primary Care. There is a large amount of literature, which investigated the effects of the QOF in the UK but all research up to date was subject to methodological limitations which this research aims to overcome. The present analysis will be conducted at a low geographical level (LSOA) and will use geographically defined statistical models to avoid aggregation of data at bigger heterogeneous areas and populations. In relation to this, the University of Manchester has obtained relevant publicly available aggregate data on general practice quality of care and prevalence of relevant chronic diseases from NHS Digital. In addition HES data will be combined with publicly available aggregate information on deprivation (IMD score) and rurality sourced from the Office for National Statistics and which are available at the LSOA level.

This is a tabulation request with an unsuppressed small numbers specification which will support the validity of the findings. If suppression according to the standards and regulations of NHS Digital is applied, it will result in significantly large numbers of unused cells which will be treated as missing values thus rendering this analysis unreliable.

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

Processing activities

The research is a continuation from a previous request which looked at the relationships between financially incentivised quality of care and patient outcomes under a national P4P scheme in English primary care. The outcomes mentioned in this instance include hospitalisations, suicides and alcohol related deaths. These outcomes and the respective (i.e. Office for National Statistics (ONS) suicide and alcohol related deaths) datasets will not be linked, analysed or investigated together. There will be three different analyses that will constitute individual pieces of work and will be organised apart. These data will be aggregated with small numbers suppressed.

The data will be stored in a locked encrypted server at the storage address specified at the University of Manchester. The data will only be accessed by the authorised researcher, however responsibility for the processing of the data and outputs resulting from this remain with the University of Manchester. The data will be accessed locally at the Centre for Primary Care only and no remote access or transfer of the data to other locations (inside or outside England) will be possible.

The outputs produced from this project will be presented as aggregated information at a larger geographical level than the one used for the analysis. The data obtained from HES will be presented as aggregated at regional level, which constitutes a much larger unit of the English geography, in order to eliminate any risk for identification. More specifically, the analysis will be conducted at the LSOA level but all outputs that refer to hospitalisation data will be presented at Regional level.

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

Outputs related to this project will be submitted in the form of an original research study for international peer reviewed journals. This project has the possibility, of informing policy regarding the successes, failures and future of Pay-for-Performance implemented in Primary Care in the UK and worldwide. Potential journals for submission, but not limited to are: The British Medical Journal, The BMJ Quality and Safety and/or the British Journal of General Practice as these feature articles related to this research. Submission dates and subsequent publication will vary according to when the data will be obtained but submission is likely to occur between 3 to 4 months after the data is provided. The outputs from this research will be publicly available via any publication that might occur from this project.

The outputs related to HES data, in the form of an original study, will be initially seen by the research team. They will assess the validity of the results and there will be extended discussions about this research project throughout the duration of the project. Reviewers of the international peer reviewed journals mentioned previously will be able to see the outputs when the study is submitted (potentially in June-July 2020). Furthermore, there is increased interest for studies that look at the relationship between quality of care and patient outcomes such as hospitalisations.

Finally, when publication to a peer reviewed journal is achieved the outputs will be accessed by the public as well as clinicians and academics and will be disseminated to decision makers via the NIHR School for Primary Care Research (SPCR), the University of Manchester and the Centre for Primary Care research and dissemination networks. The NIHR SPCR collects annual data on publications from all students and trainees associated with the School and advertises the respective publications on the SPCR website (wwww.spcr.nihr.ac.uk) although there are no publication requirements imposed by the SPCR. The outputs generated from this research will also be advertised at the University of Manchester website, where each of co-authors will include links of the HES relevant publications on their personal University of Manchester webpage (including the researcher of this agreement). Finally, the outputs will be presented to the public via Personal and Public Involvement (PPI) groups such as the PRIMER patient and public involvement group based at the Centre for Primary Care at the University of Manchester and PPI activities incentivised and required from the NIHR SPCR.

All outputs will aggregated to small numbers suppressed in line with the HES analysis guidelines.

Expected measurable benefits

The benefits derived from the outputs will be related to policy and will be immediately available to the NHS, policy makers and academics. The themes that are challenged within this project are of direct interest to the NHS as increased spending that has occurred during the implementation of Pay-for-Performance (P4P) programmes in English primary care in conjunction with the ineffectiveness of these programmes have attracted substantial criticism for the NHS. The channel through which the outputs from this research will inform the NHS is the NIHR SPCR and the Centre for Primary Care in the University of Manchester.

The outputs from this research (except for peer reviewed accessible publications or oral/poster presentations in conferences) will inform the NIHR SPCR in the form of an annual report. The outputs from this project will be presented at the NIHR SPCR Annual Trainees Event and the Annual NIHR Trainees Meeting which attracts academics, clinicians and policy makers from the UK and is funded by the NHS. Considering that the QOF is a programme that has been running for more than 10 years and is perhaps considered the largest programme of its kind, with specific targets set for prevention and monitoring of patients, the investigation of its effects are of substantial importance as it may be the best example of financial incentivisation in a large scale that has been implemented worldwide to improve population health.

Improvements in the quality of care lead directly to improvements in the health of the population, as higher quality of care means better treatment, improved prevention and better monitoring. The research findings, available in the form of a journal article, will inform Health and Social care on the effectiveness of the QOF while the aim of this output will be to provide robust and reliable information to understand how resources can best be used to achieve high quality of primary care services and improved patient outcomes for the population. If such incentives fail to improve quality of care, then valuable resources will be allocated to activities that may not have the desirable effects whilst the same resources could be allocated to other more effective activities or programmes. To put things into context, the amount of money invested in the QOF has exceeded £1 billion a year in the first years of the scheme and still it is unclear whether these amounts were invested in an optimal way and whether they can be allocated more efficiently. If these investments in the QOF have been made efficiently and the scheme has improved population health then the University of Manchester’s results will support this. The QOF is a nationwide programme and as such it is an extremely complex programme with the people involved, ranging from clinicians to policy makers, and PhD students. The outputs from this study will inform the NHS and the NIHR SPCR of the effects of the largest P4P scheme implemented in the world and will be available freely to them to utilise in order to pursue improvements in the current care pathways.

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)(b)(ii)

Datasets approved under DARS-NIC-73469-F3B9N-v2.8
DatasetType of dataSensitivity FrequencyConfidential data
Hospital Episode Statistics Admitted Patient Care (HES APC) Anonymised - ICO Code Compliant Non-Sensitive One-Off Does not include the flow of confidential data

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 2 versions — earlier versions existed before this site's records begin.

DARS-NIC-73469-F3B9N-v2.8 23 October 2019 to 30 April 2022
Title
Investigating the relationship between Quality of Primary Care and Hospitalisation: A spatial whole population study for England
Commercial
No
Sublicensing
No
Datasets
1
Files released
0

Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)

What changed from DARS-NIC-73469-F3B9N-v1.5

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

Fields changed from DARS-NIC-73469-F3B9N-v1.5
FieldWasBecame
Start date2019-01-012019-10-23
End date2020-03-312022-04-30

Objective for processing

This work is being carried out as part of the National Institute of Health Research (NIHR) Fellowship Program. It offers 3 years full-time funding (or 4 or 5 years part-time) to undertake a PhD and is aimed at individuals, of outstanding potential, early in their research careers. It aims to fast-track them through a customised research training programme in an environment reflecting their individual talents and training needs. It is anticipated that successful applicants would become independent research leaders within 6 to 10 years of completing the award. The University of Manchester requires unsuppressed aggregated HES Admitted Patient Care data from NHS Digital for a study that aims to investigate and quantify the relationships between recorded general practice performance. This performance is as measured in the Quality and Outcomes Framework (QOF), at population level in England and cause-specific hospitalisations. The purpose of this project is to investigate the effects of one of the largest Pay-for-performance (P4P) programmes worldwide which has attracted substantial attention from media, policy makers and the public. Furthermore, this study will analyse the relationship between area-based measures such as deprivation and social fragmentation with hospital admissions. There is public interest to process the data due to the increased numbers of admissions which may be preventable through high quality primary care and there is limited evidence to support this statement. Therefore, the data will be processed under Article 6 (1) (e) and Article 9 (2) (j) of the GDPR. The study will not use personal identifying data as the tabulation refers to aggregated data therefore the privacy impact is minimal. The data This study is required for a study that aims to investigate and quantify the relationships between recorded general practice performance, as measured in the Quality and Outcomes Framework (QOF), at population level in England and cause-specific hospitalisations. The purpose of this project is to investigate the effects of one interests of the largest Pay-for-performance (P4P) programmes worldwide which has attracted substantial attention from media, policy makers and the public. This public as this study will explore whether there has been any effect on all cause [12 words unchanged] quality of services in Primary Care in the UK between 2006 and 2015. 2019. This analysis will be conducted longitudinally as well as cross-sectionally while controlling [38 words unchanged] which are available at the level of Lower Super Output Area (LSOA). The QOF is one of the most comprehensive P4P schemes of its [24 words unchanged] that the UK is now retreating from using incentives in primary care. The impact of the QOF on hospital admissions has been a matter of continuous debate among policy makers and the public and its effects are largely unknown. Furthermore, the QOF comes with large costs and there exist questions on whether this budget is spent efficiently. The NHS has published several reports on the QOF and there exists substantial public interest on the future of the scheme and the whether the QOF can be integrated in the modern English Primary Care. There is a large amount of literature, which investigated the effects of [44 words unchanged] of data at bigger heterogeneous areas and populations. In relation to this, the University of Manchester University has obtained relevant publicly available aggregate data on general practice quality of [31 words unchanged] Office for National Statistics and which are available at the LSOA level. [1 paragraph unchanged] This study will constitute a substantial part of a PhD thesis at the University of Manchester which is due for submission in early 2019. The University of Manchester is the data controller and also processes the data for this study. No other organisations process the data for this purpose.

Processing activities

The PhD looks separately research is a continuation from a previous request which looked at the relationships between financially incentivised quality of care and patient outcomes [53 words unchanged] that will constitute individual pieces of work and will be organised apart. The only instance in which analysis and results from the three different patient outcomes analyses will be present in the same document is for the sole purpose of the final PhD thesis. These data will be aggregated with small numbers suppressed. The data will be stored in a locked encrypted server at the storage address specified at the University of Manchester. The data will only be accessed by the PHD Student as the authorised researcher, however responsibility for the processing of the data and [26 words unchanged] access or transfer of the data to other locations (inside or outside the UK) England) will be possible. [2 paragraphs unchanged]

Expected output

Output from the data provided by NHS Digital will form a substantial part of the PhD thesis which looks at the relationship between quality of care and patient outcomes under a large P4P scheme in English primary care. The thesis is due for submission in September 2019 at the University of Manchester. Outputs related to this project will be included in the final PhD thesis and will be submitted in the form of an original research study for international peer reviewed journals. The first output from the PhD which relates to suicides is currently under review with an international peer reviewed journal. This project has the possibility, of informing policy regarding the successes, failures [13 words unchanged] Potential journals for submission, but not limited to are: The British Medical Journal , Journal, The BMJ Quality and Safety and/or the British Journal of General Practice [36 words unchanged] data is provided. The outputs from this research will be publicly available either via the PhD thesis or via any publication that might occur from this project. The outputs related to HES data, in the form of an original study, will be initially seen by the PhD supervisory research team. They will assess the validity of the results and there will [24 words unchanged] able to see the outputs when the study is submitted (potentially in March-April 2019). As the PhD thesis will follow the alternative format (i.e. PhD by publication), the publication of the research findings is a prerequisite for the completion of the PhD. June-July 2020). Furthermore, there is increased interest for studies that look at the relationship between quality of care and patient outcomes such as hospitalisations. In addition, the committee that will assess the final PhD thesis will be able to see the output of this project in spring 2019. Finally, when publication to a peer reviewed journal is achieved the outputs [9 words unchanged] clinicians and academics and will be disseminated to decision makers via the SPCR, NIHR School for Primary Care Research (SPCR), the University of Manchester and the Centre for Primary Care research and [27 words unchanged] website (wwww.spcr.nihr.ac.uk) although there are no publication requirements imposed by the SPCR. Furthermore, it is a requirement of the studentship, to update the NIHR SPCR for any publications that may occur during the studentship award. The outputs generated from this research will also be advertised at the [14 words unchanged] relevant publications on their personal University of Manchester webpage (including the researcher named within the application). of this agreement). Finally, the outputs will be presented to the public via PPI Personal and Public Involvement (PPI) groups such as the PRIMER patient and public involvement group based at [8 words unchanged] of Manchester and PPI activities incentivised and required from the NIHR SPCR. [1 paragraph unchanged]

Expected measurable benefits

The benefits derived from the outputs will be related to policy and [74 words unchanged] SPCR and the Centre for Primary Care in the University of Manchester. This research is funded and supported by the National Institute for Health Research (NIHR) School for Primary Care Research (SPCR) in the form of a PhD studentship to investigate the relationships mentioned before in this application. This research project has been approved and selected among other projects across the UK to receive funding for its realisation by the NIHR. The main role of the NIHR SPCR is to increase the evidence base for clinical practice and policy in English primary care. This research aims to increase the evidence base for the latter. The outputs from this research (except for peer reviewed accessible publications or oral/poster presentations in conferences) will inform the NIHR SPCR in the form of an annual report of progress of this PhD. report. The outputs from this project will be presented at the NIHR SPCR [81 words unchanged] a large scale that has been implemented worldwide to improve population health. Improvements in the quality of care lead directly to improvements in the [169 words unchanged] have been made efficiently and the scheme has improved population health then our the University of Manchester’s results will support this. The QOF is a nationwide programme and as [52 words unchanged] to utilise in order to pursue improvements in the current care pathways.

Benefits reported

Stated in the previous version and removed here.

Not all of the data has been received under the previous agreement therefore the benefits have yet to be realised.

DARS-NIC-73469-F3B9N-v1.5 1 January 2019 to 31 March 2020
Title
Investigating the relationship between Quality of Primary Care and Hospitalisation: A spatial whole population study for England
Commercial
No
Sublicensing
No
Datasets
1
Files released
0

Datasets: Hospital Episode Statistics Admitted Patient Care (HES APC)

Objective for processing

This work is being carried out as part of the National Institute of Health Research (NIHR) Fellowship Program. It offers 3 years full-time funding (or 4 or 5 years part-time) to undertake a PhD and is aimed at individuals, of outstanding potential, early in their research careers. It aims to fast-track them through a customised research training programme in an environment reflecting their individual talents and training needs. It is anticipated that successful applicants would become independent research leaders within 6 to 10 years of completing the award.

The data is required for a study that aims to investigate and quantify the relationships between recorded general practice performance, as measured in the Quality and Outcomes Framework (QOF), at population level in England and cause-specific hospitalisations. The purpose of this project is to investigate the effects of one of the largest Pay-for-performance (P4P) programmes worldwide which has attracted substantial attention from media, policy makers and the public. This study will explore whether there has been any effect on all cause and cause-specific hospitalisations (reductions/increases) due to financial incentives, targeted to improve the quality of services in Primary Care in the UK between 2006 and 2015. This analysis will be conducted longitudinally as well as cross-sectionally while controlling for factors that are known to have an effect on hospitalisations. The study will utilise HES Admitted Patient care data as it is deemed it to be the most robust and high-quality data on hospitalisations for the UK, which are available at the level of Lower Super Output Area (LSOA).

The QOF is one of the most comprehensive P4P schemes of its kind and it was introduced in 2004 to improve quality of Primary Care in the UK. However, doubts on its impact and value mean that the UK is now retreating from using incentives in primary care. There is a large amount of literature, which investigated the effects of the QOF in the UK but all research up to date was subject to methodological limitations which this research aims to overcome. The present analysis will be conducted at a low geographical level (LSOA) and will use geographically defined statistical models to avoid aggregation of data at bigger heterogeneous areas and populations. In relation to this, Manchester University has obtained relevant publicly available aggregate data on general practice quality of care and prevalence of relevant chronic diseases from NHS Digital. In addition HES data will be combined with publicly available aggregate information on deprivation (IMD score) and rurality sourced from the Office for National Statistics and which are available at the LSOA level.

This is a tabulation request with an unsuppressed small numbers specification which will support the validity of the findings. If suppression according to the standards and regulations of NHS Digital is applied, it will result in significantly large numbers of unused cells which will be treated as missing values thus rendering this analysis unreliable.

This study will constitute a substantial part of a PhD thesis at the University of Manchester which is due for submission in early 2019.

Expected output

Output from the data provided by NHS Digital will form a substantial part of the PhD thesis which looks at the relationship between quality of care and patient outcomes under a large P4P scheme in English primary care. The thesis is due for submission in September 2019 at the University of Manchester. Outputs related to this project will be included in the final PhD thesis and will be submitted in the form of an original research study for international peer reviewed journals. The first output from the PhD which relates to suicides is currently under review with an international peer reviewed journal. This project has the possibility, of informing policy regarding the successes, failures and future of Pay-for-Performance implemented in Primary Care in the UK and worldwide. Potential journals for submission, but not limited to are: The British Medical Journal , The BMJ Quality and Safety and/or the British Journal of General Practice as these feature articles related to this research. Submission dates and subsequent publication will vary according to when the data will be obtained but submission is likely to occur between 3 to 4 months after the data is provided. The outputs from this research will be publicly available either via the PhD thesis or via any publication that might occur from this project.

The outputs related to HES data, in the form of an original study, will be initially seen by the PhD supervisory team. They will assess the validity of the results and there will be extended discussions about this research project throughout the duration of the project. Reviewers of the international peer reviewed journals mentioned previously will be able to see the outputs when the study is submitted (potentially in March-April 2019). As the PhD thesis will follow the alternative format (i.e. PhD by publication), the publication of the research findings is a prerequisite for the completion of the PhD. Furthermore, there is increased interest for studies that look at the relationship between quality of care and patient outcomes such as hospitalisations.

In addition, the committee that will assess the final PhD thesis will be able to see the output of this project in spring 2019. Finally, when publication to a peer reviewed journal is achieved the outputs will be accessed by the public as well as clinicians and academics and will be disseminated to decision makers via the SPCR, the University of Manchester and the Centre for Primary Care research and dissemination networks. The NIHR SPCR collects annual data on publications from all students and trainees associated with the School and advertises the respective publications on the SPCR website (wwww.spcr.nihr.ac.uk) although there are no publication requirements imposed by the SPCR. Furthermore, it is a requirement of the studentship, to update the NIHR SPCR for any publications that may occur during the studentship award. The outputs generated from this research will also be advertised at the University of Manchester website, where each of co-authors will include links of the HES relevant publications on their personal University of Manchester webpage (including the researcher named within the application). Finally, the outputs will be presented to the public via PPI groups such as the PRIMER patient and public involvement group based at the Centre for Primary Care at the University of Manchester and PPI activities incentivised and required from the NIHR SPCR.

All outputs will aggregated to small numbers suppressed in line with the HES analysis guidelines.

Benefits reported

Not all of the data has been received under the previous agreement therefore the benefits have yet to be realised.

Register history

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

Cite this page

NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-73469-F3B9N, “Investigating the relationship between Quality of Primary Care and Hospitalisation: A spatial whole population study for England”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-73469-f3b9n/ (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-73469-F3B9N to see the original rows.