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Alive or dead: Validity of the Social Security Administration Death Master File after 2011

Authors :
Levin, Matthew A.
Lin, Hung-Mo
Prabakar, Gautham
McCormick, Patrick J.
Egorova, Natalia N.
Source :
Health Services Research. February, 2019, Vol. 54 Issue 1, p24, 10 p.
Publication Year :
2019

Abstract

Objective: To determine the reliability of the Social Security Death Master File (DMF) after the November 2011 changes limiting the inclusion of state records. Data Sources: Secondary data from the DMF, New York State (NYS) and New Jersey (NJ) Vital Statistics (VS), and institutional data warehouse. Study Design: Retrospective study. Two cohorts: discharge date before November 1, 2011, (pre-2011) or after (post-2011). Death in-hospital used as gold standard. NYS VS used for out-of-hospital death. Sensitivity, specificity, Cohen's Kappa, and 1-year survival calculated. Data Collection Methods: Patients matched to DMF using Social Security Number, or date of birth and Soundex algorithm. Patients matched to NY and NJ VS using probabilistic linking. Principal Findings: 97 069 patients January 2007-March 2016: 39 075 pre-2011; 57 994 post-2011.3777 (3.9 percent) died in-hospital. DMF sensitivity for in-hospital death 88.9 percent ([kappa] = 0.93) pre-2011 vs 14.8 percent ([kappa]=0.25) post-2011. DMF sensitivity for NY deaths 74.6 percent ([kappa] = 0.71) pre-2011 vs 26.6 percent ([kappa] = 0.33) post-2011. DMF sensitivity for NJ deaths 62.6 percent ([kappa] = 0.64) pre-2011 vs 10.8 percent ([kappa]= 0.15) post-2011. DMF sensitivity for out-of-hospital death 71.4 percent pre-2011 ([kappa] = 0.58) vs 28.9 percent post-2011 ([kappa] = 0.34). Post-2011, 1-year survival using DMF data was overestimated at 95.8 percent, vs 86.1 percent using NYS VS. Conclusions: The DMF is no longer a reliable source of death data. Researchers using the DMF may underestimate mortality. KEYWORDS death index, federal policy, mortality, patient outcomes<br />1 | INTRODUCTION Large retrospective research studies often draw on multiple secondary sources such as electronic health records and claims data from private insurers. In-hospital mortality is available in claims [...]

Details

Language :
English
ISSN :
00179124
Volume :
54
Issue :
1
Database :
Gale General OneFile
Journal :
Health Services Research
Publication Type :
Periodical
Accession number :
edsgcl.574566607
Full Text :
https://doi.org/10.1111/1475-6773.13069