Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research

作者：Ann Marie Návar, Eric D. Peterson, Dylan Steen, Daniel Wojdyla, Robert J. Sanchez, Irfan Khan, Xue Song, Matthew Gold, Michael Pencina · 发表于：JAMA Cardiology · 年份：2019 · DOI：10.1001/jamacardio.2019.0198 · 被引用次数：59 · 研究领域：Healthcare Policy and Management、Healthcare cost, quality, practices、Global Health Care Issues

Importance: Despite its documented undercapture of mortality data, the US Social Security Administration Death Master File (SSDMF) is still often used to provide mortality end points in retrospective clinical studies. Changes in death data reporting to SSDMF in 2011 may have further affected the reliability of mortality end points, with varying consequences over time and by state. Objective: To evaluate the reliability of mortality rates in the SSDMF in a cohort of patients with atherosclerotic cardiovascular disease (ASCVD). Design, Setting, and Participants: This observational analysis used the IBM MarketScan Medicare and commercial insurance databases linked to mortality information from the SSDMF. Adults with ASCVD who had a clinical encounter between January 1, 2012, and December 31, 2013, at least 2 years of follow-up, and from states with 1000 or more eligible adults with ASCVD were included in the study. Data analysis was conducted between April 18 and May 21, 2018. Main Outcomes and Measures: Kaplan-Meier analyses were conducted to estimate state-level mortality rates for adults with ASCVD, stratified by database (commercial or Medicare). Constant hazards of mortality by state were tested, and individual state Kaplan-Meier curves for temporal changes were evaluated. For states in which the hazard of death was constant over time, mortality rates for adults with ASCVD were compared with state-level, age group-specific overall mortality rates in 2012, as reported by the...