ArticlePragmatic and observational research2025
Validation of Mortality Data Sources Compared to the National Death Index in the Healthcare Integrated Research Database.
Article in Pragmatic and observational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Validation of an all-source composite mortality endpoint in the US population.Journal of comparative effectiveness research · 2026Article
- Concordance of Death Information Between Two Health Systems Serving the Same Region and the Social Security Administration Death Master File: Retrospective Observational Study.JMIR medical informatics · 2026Observational
- An operational target trial emulation framework for causal inference using electronic health record data.NPJ digital medicine · 2026Review
- Validation of a Composite Mortality End Point in a Large Clinicogenomic Real-World Database of Patients With Advanced Cancer.JCO clinical cancer informatics · 2026Article
- Enhancing cause of death prediction: development and validation of machine learning models using multimodal data across multiple health-care sites.JAMIA open · 2026Article
- Outcomes After Transcatheter Aortic Valve Replacement Among Medicare Beneficiaries: The Impact of Frailty and Social Vulnerability.Structural heart : the journal of the Heart Team · 2025Article
- Real-World Retrospective Study of Clinical and Economic Outcomes Among Patients with Locally Advanced or Metastatic Urothelial Carcinoma Treated with First-Line Systemic Anti-Cancer Therapies in the United States: Results from the IMPACT UC-III Study.Current oncology (Toronto, Ont.) · 2025Article
- The Healthcare Integrated Research Database (HIRD) as a Real-World Data Source for Pharmacoepidemiologic Research.Pharmacoepidemiology and drug safety · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The National Death Index (NDI) is the gold standard for mortality data in the United States (US) but has a time lag and can be operationally intensive. This validation study assesses the accuracy of various mortality data sources with the NDI. Methods: This validation study is a secondary analysis of an advanced cancer cohort in the US between January 2010 and December 2018, with an established NDI linkage. Mortality data sources, inpatient discharge, disenrollment, death master file (DMF), Center for Medicare and Medicaid Services (CMS), Utilization management data (U.M.), and online obituary data were compared to NDI. Results: Among 40,692 patients, 25,761 (63.3%) had a death date using NDI; the composite algorithm had a sensitivity of 88.9% (95% CI = 88.5%, 89.3%), specificity was 89.1% (95% CI = 88.6%, 89.6%). At the same time, positive predictive value (PPV) was 93.4% (95% CI = 93.1%, 93.7%), negative predictive value (NPV) was 82.3% (95% CI = 81.7%, 82.9%), and when comparing each individual source, each had a high PPV but limited sensitivity. Conclusion: The composite algorithm was demonstrated to be a sensitive and precise measure of mortality, while individual database sources were accurate but had limited sensitivity.
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