Validation of self-reported cancer diagnoses using Medicare diagnostic claims in the U.S. Health and Retirement Study, 2000-2016.

Year of Publication
2022
Author
Journal
Cancer Epidemiology, Biomarkers & Prevention
Volume
31
Issue
1
Number of Pages
287-292
ISSN Number
1538-7755
Abstract

BACKGROUND: The US Health Retirement Study (HRS) is an ongoing population-representative cohort of US adults aged >50 with rich data on health during aging. Self-reported cancer diagnoses have been collected since 1998, but they have not been validated. We compared self-reported cancer diagnoses in HRS interviews against diagnostic claims from linked Medicare records.

METHODS: Using HRS-Medicare linked data, we examined the validity of first incident cancer diagnoses self-reported in biennial interviews from 2000-2016 against ICD-9 and ICD-10 diagnostic claim records as the gold standard. Data were from 8,242 HRS participants aged {greater than or equal to}65 with 90% continuous enrollment in fee-for-service Medicare. We calculated the sensitivity, specificity, and k for first incident invasive cancer diagnoses (all cancers combined, and each of bladder, breast, colorectal/anal, uterine, kidney, lung, and prostate cancers) cumulatively over the follow-up and at each biennial study interview.

RESULTS: Overall, self-reports of first incident cancer diagnoses from 2000-2016 had 73.2% sensitivity and 96.2% specificity against Medicare claims (k=0.73). For specific cancer types, sensitivities ranged from 44.7% (kidney) to 75.0% (breast), and specificities ranged from 99.2% (prostate) and 99.9% (bladder, uterine, and kidney). Results were similar in sensitivity analyses restricting to individuals with 100% continuous fee-for-service Medicare enrollment and when restricting to individuals with at least 24 months of Medicare enrollment.

CONCLUSION: Self-reported cancer diagnoses in the HRS have reasonable validity for use in population-based research that is maximized with linkage to Medicare.

IMPACT: These findings inform the use of the HRS for population-based cancer and aging research.

DOI
10.1158/1055-9965.EPI-21-0835
Alternate Journal
Cancer Epidemiol Biomarkers Prev
PMID
34737206
PMCID
PMC8755623
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