ArticleClinical epidemiology2019
Measuring prevalence and incidence of chronic conditions in claims and electronic health record databases.
Article in Clinical epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
85 citing papers in PubMed, 132 citations in OpenAlex.
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- When "harmonized" data are not the same across federated healthcare databases.European journal of epidemiology · 2026Article
- Methods of estimating prevalence of multiple sclerosis in six European healthcare data sources: a contribution from the ConcePTION project.European journal of epidemiology · 2026Article
- Drivers of Rising Prevalence in Major Motor Neurodegenerative Diseases: Temporal Trends in Sweden and France (2003-2022).Neurology · 2026Article
- Systematic mapping of rare genetic disease studies using UK primary care electronic health records.European journal of human genetics : EJHG · 2026Review
- Access to Medications for Opioid Use Disorder Among Veterans With Homeless Experience in Permanent Supportive Housing.JAMA network open · 2026Article
- Impact of study design decisions on identification of treatment initiators of medications for opioid use disorder.Addiction (Abingdon, England) · 2026Article
- Incidence rates of twelve chronic diseases/conditions in US adults: findings from a population-based study.Lancet regional health. Americas · 2026Article
- Incidence of developmental disorders and special educational needs and disabilities in children in the UK.Developmental medicine and child neurology · 2026Article
- Rising Breast Cancer Incidence and Poor Outcomes in Young Women: A Retrospective Study.The breast journal · 2026Article
- Prevalence of diagnosed idiopathic hypersomnia among adults in the United States 2019-2023: analysis of healthcare claims.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Retrospective cohort study applying membership and utilisation criteria to electronic health records for diabetes incidence estimation in an integrated healthcare delivery system in Southern California.BMJ public health · 2026Article
- Type 2 Diabetes Mellitus Modifies the Association Between Exercise Therapy and Injury Risk and Long-Term Outcomes in Patients with Knee Osteoarthritis: A Retrospective Cohort Study.Journal of pain research · 2026Article
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- Prevalence of Esophageal Foreign Body and Food Impaction in the United States.Gastro hep advances · 2026Review
- Same ICD-10 code, different estimands: four Polish National Health Fund obesity series, 2015-2025.Frontiers in public health · 2026Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth care databases are natural sources for estimating prevalence and incidence of chronic conditions, but substantial variation in estimates limits their interpretability and utility. We evaluated the effects of design choices when estimating prevalence and incidence in claims and electronic health record databases.
methodsPrevalence and incidence for five chronic diseases at increasing levels of expected frequencies, from cystic fibrosis to COPD, were estimated in the Clinical Practice Research Datalink (CPRD) and MarketScan databases from 2011 to 2014. Estimates were compared using different definitions of lookback time and contributed person-time.
resultsVariation in lookback time substantially affected estimates. In 2014, for CPRD, use of an all-time vs a 1-year lookback window resulted in 4.3-8.3 times higher prevalence (depending on disease), reducing incidence by 1.9-3.3 times. All-time lookback resulted in strong temporal trends. COPD prevalence between 2011 and 2014 in MarketScan increased by 25% with an all-time lookback but stayed relatively constant with a 1-year lookback. Varying observability did not substantially affect estimates.
conclusionThis framework draws attention to the underrecognized potential for widely varying incidence and prevalence estimates, with implications for care planning and drug development. Though prevalence and incidence are seemingly straightforward concepts, careful consideration of methodology is required to obtain meaningful estimates from health care databases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.