Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design
Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on affected individuals and health-care systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM se...
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| Format: | Article |
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BMJ Publishing Group Ltd
2018
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| Online Access: | https://eprints.nottingham.ac.uk/51820/ |
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| author | Zghebi, Salwa S. Rutter, Martin K. Ashcroft, Darren M. Salisbury, Chris Mallen, Christian Chew-Graham, Carolyn A. Reeves, David Van marwijk, Harm Qureshi, Nadeem Weng, Stephen Peek, Niels Planner, Claire |
| author_facet | Zghebi, Salwa S. Rutter, Martin K. Ashcroft, Darren M. Salisbury, Chris Mallen, Christian Chew-Graham, Carolyn A. Reeves, David Van marwijk, Harm Qureshi, Nadeem Weng, Stephen Peek, Niels Planner, Claire |
| author_sort | Zghebi, Salwa S. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on affected individuals and health-care systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes.
Methods and Analysis: Primary care data from the Clinical Practice Research Datalink (CPRD), linked hospitalisation and mortality records between April-2007 and March-2017 for T2DM patients in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts by baseline and longitudinal severity scores. Provisionally, T2DM severity domains, identified through a systematic review and expert opinion are: diabetes duration, HbA1c, microvascular complications, comorbidities, and co-prescribed treatments. Severity scores will be developed by two approaches: i) calculating a count score of severity domains; ii) through hierarchical stratification of complications. Regression models estimates will be used to calculate domains weights. Survival analysis for the association between weighted severity scores and future outcomes: cardiovascular events; hospitalisation (diabetes-related, cardiovascular); and mortality (diabetes-related, cardiovascular, all-cause mortality) will be performed as a statistical validation. The proposed EHR-based approach will quantify the T2DM severity for primary care performance management and inform the methodology for measuring severity of other primary care-managed chronic conditions. We anticipate that the developed algorithm will be a practical tool for practitioners, aid clinical management decision-making, inform stratified medicine, support future clinical trials and contribute to more effective service-planning and policy-making.
Ethics and Dissemination: The study protocol was approved by the Independent Scientific Advisory Committee (ISAC). Some data were presented at the NIHR SPCR Showcase, September-2017, Oxford,UK; the Diabetes UK Professional Conference March-2018, London,UK. The study findings will be disseminated in relevant academic conferences and peer-reviewed journals. |
| first_indexed | 2025-11-14T20:22:03Z |
| format | Article |
| id | nottingham-51820 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:22:03Z |
| publishDate | 2018 |
| publisher | BMJ Publishing Group Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-518202020-05-04T19:44:26Z https://eprints.nottingham.ac.uk/51820/ Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design Zghebi, Salwa S. Rutter, Martin K. Ashcroft, Darren M. Salisbury, Chris Mallen, Christian Chew-Graham, Carolyn A. Reeves, David Van marwijk, Harm Qureshi, Nadeem Weng, Stephen Peek, Niels Planner, Claire Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on affected individuals and health-care systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes. Methods and Analysis: Primary care data from the Clinical Practice Research Datalink (CPRD), linked hospitalisation and mortality records between April-2007 and March-2017 for T2DM patients in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts by baseline and longitudinal severity scores. Provisionally, T2DM severity domains, identified through a systematic review and expert opinion are: diabetes duration, HbA1c, microvascular complications, comorbidities, and co-prescribed treatments. Severity scores will be developed by two approaches: i) calculating a count score of severity domains; ii) through hierarchical stratification of complications. Regression models estimates will be used to calculate domains weights. Survival analysis for the association between weighted severity scores and future outcomes: cardiovascular events; hospitalisation (diabetes-related, cardiovascular); and mortality (diabetes-related, cardiovascular, all-cause mortality) will be performed as a statistical validation. The proposed EHR-based approach will quantify the T2DM severity for primary care performance management and inform the methodology for measuring severity of other primary care-managed chronic conditions. We anticipate that the developed algorithm will be a practical tool for practitioners, aid clinical management decision-making, inform stratified medicine, support future clinical trials and contribute to more effective service-planning and policy-making. Ethics and Dissemination: The study protocol was approved by the Independent Scientific Advisory Committee (ISAC). Some data were presented at the NIHR SPCR Showcase, September-2017, Oxford,UK; the Diabetes UK Professional Conference March-2018, London,UK. The study findings will be disseminated in relevant academic conferences and peer-reviewed journals. BMJ Publishing Group Ltd 2018-06-30 Article PeerReviewed Zghebi, Salwa S., Rutter, Martin K., Ashcroft, Darren M., Salisbury, Chris, Mallen, Christian, Chew-Graham, Carolyn A., Reeves, David, Van marwijk, Harm, Qureshi, Nadeem, Weng, Stephen, Peek, Niels and Planner, Claire (2018) Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open, 8 (6). e020926. ISSN 2044-6055 Electronic health records; Type 2 Diabetes; Primary Care https://bmjopen.bmj.com/content/8/6/e020926 |
| spellingShingle | Electronic health records; Type 2 Diabetes; Primary Care Zghebi, Salwa S. Rutter, Martin K. Ashcroft, Darren M. Salisbury, Chris Mallen, Christian Chew-Graham, Carolyn A. Reeves, David Van marwijk, Harm Qureshi, Nadeem Weng, Stephen Peek, Niels Planner, Claire Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title | Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title_full | Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title_fullStr | Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title_full_unstemmed | Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title_short | Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design |
| title_sort | using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in england: rationale and cohort study design |
| topic | Electronic health records; Type 2 Diabetes; Primary Care |
| url | https://eprints.nottingham.ac.uk/51820/ https://eprints.nottingham.ac.uk/51820/ |