ArticleBMC health services research2018
Identifying diabetes cases from administrative data: a population-based validation study.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 1 of them a synthesis that pooled it.
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Who cites it
148 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The bidirectional association between diabetes and long-COVID-19 - A systematic review.Diabetes research and clinical practice · 2023Pooled it
- Community Paramedicine Program in Social Housing and Health Service Utilization: A Cluster Randomized Clinical Trial.JAMA network open · 2024Trial
- Elective colorectal surgery in those with cirrhosis: a population-based study assessing practice patterns and patient outcomes.Journal of the Canadian Association of Gastroenterology · 2026Article
- Antecedent of Pregnancy-Related Cardiometabolic Complication and Risk of Cardiovascular Disease Among Women With Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Article
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- Age-Specific Risk of Herpes Zoster in Adults Aged ≥18 Years With Comorbid Conditions-A Retrospective Cohort Study in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Cardiovascular Disease in Males With Breast Cancer: A Population-Based Cohort Study.JACC. Advances · 2026Article
- Effect of the initial combination approach vs initial monotherapy approach on 1-year trajectories of adherence in drug-naive patients with type 2 diabetes.Journal of managed care & specialty pharmacy · 2026Article
- Article
- Reimbursement restrictions reduce liver fibrosis screening in adults with diabetes in Ontario: a population-based interrupted time series analysis.Scientific reports · 2026Article
- Age-specific Risk of Herpes Zoster in Immunocompetent Adults ≥18 Years-of-age-A Retrospective Cohort Study in the United States.Open forum infectious diseases · 2026Article
- Sex Differences in Self-Rated Health and Cardiovascular Disease Events.JAMA network open · 2026Article
- Association between COVID-19 vaccination and sudden death in apparently healthy younger individuals: A population-based case-control study.PLoS medicine · 2026Article
- Use of sodium-glucose cotransporter-2 inhibitors among older adults with type 2 diabetes mellitus in British Columbia.Diabetes, obesity & metabolism · 2026Article
- Cardiovascular effectiveness and safety of SGLT2 inhibitors vs DPP4 inhibitors by dementia status: a cohort study of older adults with diabetes.Diabetologia · 2026Article
- Using tree-based ensemble methods to produce a population-based mortality risk score in Ontario, Canada.PloS one · 2026Article
- Antibiotic consumption and medication cost in diabetic patients: Insights from Iran health insurance organization (IHIO) claims data.PloS one · 2026Article
- COVID-19 Vaccination Uptake and Myocarditis and/or Pericarditis Complications Among Chinese and South Asian Individuals in Ontario.CJC open · 2025Article
- Day-of-surgery quality gaps in glycemic management: a retrospective cohort study.Perioperative medicine (London, England) · 2025Article
88 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
backgroundHealth care data allow for the study and surveillance of chronic diseases such as diabetes. The objective of this study was to identify and validate optimal algorithms for diabetes cases within health care administrative databases for different research purposes, populations, and data sources.
methodsWe linked health care administrative databases from Ontario, Canada to a reference standard of primary care electronic medical records (EMRs). We then identified and calculated the performance characteristics of multiple adult diabetes case definitions, using combinations of data sources and time windows.
resultsThe best algorithm to identify diabetes cases was the presence at any time of one hospitalization or physician claim for diabetes AND either one prescription for an anti-diabetic medication or one physician claim with a diabetes-specific fee code [sensitivity 84.2%, specificity 99.2%, positive predictive value (PPV) 92.5%]. Use of physician claims alone performed almost as well: three physician claims for diabetes within one year was highly specific (sensitivity 79.9%, specificity 99.1%, PPV 91.4%) and one physician claim at any time was highly sensitive (sensitivity 93.6%, specificity 91.9%, PPV 58.5%).
conclusionsThis study identifies validated algorithms to capture diabetes cases within health care administrative databases for a range of purposes, populations and data availability. These findings are useful to study trends and outcomes of diabetes using routinely-collected health care data.
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