ArticleMedical care2017
Using Self-reports or Claims to Assess Disease Prevalence: It's Complicated.
Article in Medical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
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- Changes in pediatric service utilization for depression and anxiety during the COVID-19 pandemic.BMC health services research · 2026Article
- Edentulism and risk of all-cause dementia and Alzheimer's disease: A competing risk analysis by cognitive status.Journal of Alzheimer's disease : JAD · 2026Article
- Assessing the risk of sarcopenia among community-dwelling older adults in Israel: a national cross-sectional survey.European geriatric medicine · 2026Article
- Development and validation of the CARE-DM model to predict the cardiovascular risk in older persons with type 2 diabetes.European journal of preventive cardiology · 2026Article
- Divergent effects of oral health and genetic risk: competing risks of dementia and mortality.Innovation in aging · 2026Article
- Variability in Long COVID Definitions and Validation of Published Prevalence Rates.JAMA network open · 2025Article
- Association of blood eosinophil counts with pulmonary and extrapulmonary comorbidities in patients with chronic obstructive pulmonary disease: data from NHANES 2013-2018.BMC pulmonary medicine · 2025Article
- Variation in Prevalence and Burden of Chronic Obstructive Pulmonary Disease by State and Insurance Type in the United States.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2025Article
- Association of Dementia Severity at Diagnosis With Health Care Utilization and Costs Around the Time of Incident Diagnosis.Innovation in aging · 2025Article
- Associations Between Health Literacy and Chronic Disease Prevalence Among Employees in Chinese Petroleum Companies: A Cross-Sectional Study.Risk management and healthcare policy · 2025Article
- External Validation of the American Heart Association PREVENT Cardiovascular Disease Risk Equations.JAMA network open · 2024Article
- Consistency between self-reported disease diagnosis and clinical assessment and under-reporting for chronic conditions: data from a community-based study in Xi'an, China.Frontiers in public health · 2024Article
- Risk Factors for Type 2 Diabetes in the Multiethnic Cohort.Canadian journal of diabetes · 2023Article
- Prevalence of eczema among adults in the United States: a cross-sectional study in the All of Us research program.Archives of dermatological research · 2023Article
- Reproducibility of the medical cost estimation from the Medicare Current Beneficiary Survey: Comparing claims and survey.Health science reports · 2023Article
- Racial/Ethnic and Educational Disparities in the Impact of Diabetes on Population Health Among the U.S.-Born Population.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Cardiovascular Disease Projections in the United States Based on the 2020 Census Estimates.Journal of the American College of Cardiology · 2022Article
- Self-reporting of psychiatric illness in an online patient registry is a good indicator of the existence of psychiatric illness.Journal of psychiatric research · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundTwo common ways of measuring disease prevalence include: (1) using self-reported disease diagnosis from survey responses; and (2) using disease-specific diagnosis codes found in administrative data. Because they do not suffer from self-report biases, claims are often assumed to be more objective. However, it is not clear that claims always produce better prevalence estimates.
objectiveConduct an assessment of discrepancies between self-report and claims-based measures for 2 diseases in the US elderly to investigate definition, selection, and measurement error issues which may help explain divergence between claims and self-report estimates of prevalence. DATA: Self-reported data from 3 sources are included: the Health and Retirement Study, the Medicare Current Beneficiary Survey, and the National Health and Nutrition Examination Survey. Claims-based disease measurements are provided from Medicare claims linked to Health and Retirement Study and Medicare Current Beneficiary Survey participants, comprehensive claims data from a 20% random sample of Medicare enrollees, and private health insurance claims from Humana Inc.
methodsPrevalence of diagnosed disease in the US elderly are computed and compared across sources. Two medical conditions are considered: diabetes and heart attack.
resultsComparisons of diagnosed diabetes and heart attack prevalence show similar trends by source, but claims differ from self-reports with regard to levels. Selection into insurance plans, disease definitions, and the reference period used by algorithms are identified as sources contributing to differences.
conclusionsClaims and self-reports both have strengths and weaknesses, which researchers need to consider when interpreting estimates of prevalence from these 2 sources.
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Registered trials
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.