Identification of major cardiovascular events in patients with diabetes using primary care data. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Identification of major cardiovascular events in patients with diabetes using primary care data. Issue 1 (December 2016)
- Main Title:
- Identification of major cardiovascular events in patients with diabetes using primary care data
- Authors:
- Pouwels, Koen
Voorham, Jaco
Hak, Eelko
Denig, Petra - Abstract:
- Abstract Background Routine primary care data are increasingly being used for evaluation and research purposes but there are concerns about the completeness and accuracy of diagnoses and events captured in such databases. We evaluated how well patients with major cardiovascular disease (CVD) can be identified using primary care morbidity data and drug prescriptions. Methods The study was conducted using data from 17, 230 diabetes patients of the GIANTT database and Dutch Hospital Data register. To estimate the accuracy of the different measures, we analyzed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) relative to hospitalizations and/or records with a diagnosis indicating major CVD, including ischaemic heart diseases and cerebrovascular events. Results Using primary care morbidity data, 43 % of major CVD hospitalizations could be identified. Adding drug prescriptions to the search increased the sensitivity up to 94 %. A proxy of at least one prescription of either a platelet aggregation inhibitor, vitamin k antagonist or nitrate could identify 85 % of patients with a history of major CVD recorded in primary care, with an NPV of 97 %. Using the same proxy, 57 % of incident major CVD recorded in primary or hospital care could be identified, with an NPV of 99 %. Conclusions A substantial proportion of major CVD hospitalizations was not recorded in primary care morbidity data. Drug prescriptions can be used in addition toAbstract Background Routine primary care data are increasingly being used for evaluation and research purposes but there are concerns about the completeness and accuracy of diagnoses and events captured in such databases. We evaluated how well patients with major cardiovascular disease (CVD) can be identified using primary care morbidity data and drug prescriptions. Methods The study was conducted using data from 17, 230 diabetes patients of the GIANTT database and Dutch Hospital Data register. To estimate the accuracy of the different measures, we analyzed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) relative to hospitalizations and/or records with a diagnosis indicating major CVD, including ischaemic heart diseases and cerebrovascular events. Results Using primary care morbidity data, 43 % of major CVD hospitalizations could be identified. Adding drug prescriptions to the search increased the sensitivity up to 94 %. A proxy of at least one prescription of either a platelet aggregation inhibitor, vitamin k antagonist or nitrate could identify 85 % of patients with a history of major CVD recorded in primary care, with an NPV of 97 %. Using the same proxy, 57 % of incident major CVD recorded in primary or hospital care could be identified, with an NPV of 99 %. Conclusions A substantial proportion of major CVD hospitalizations was not recorded in primary care morbidity data. Drug prescriptions can be used in addition to diagnosis codes to identify more patients with major CVD, and also to identify patients without a history of major CVD. … (more)
- Is Part Of:
- BMC health services research. Volume 16:Issue 1(2016)
- Journal:
- BMC health services research
- Issue:
- Volume 16:Issue 1(2016)
- Issue Display:
- Volume 16, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2016-0016-0001-0000
- Page Start:
- 1
- Page End:
- 8
- Publication Date:
- 2016-12
- Subjects:
- Cardiovascular diseases -- Electronic health records -- Diabetes mellitus -- Registries -- General practice -- Sensitivity and specificity
Public health -- Research -- Periodicals
Medical care -- Research -- Periodicals
362.1072 - Journal URLs:
- http://www.biomedcentral.com/bmchealthservres/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=34 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12913-016-1361-2 ↗
- Languages:
- English
- ISSNs:
- 1472-6963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9864.xml