Literature DB >> 23451614

Accuracy of vital status ascertainment using the Social Security Death Master File in a deceased population.

Thomas Ashley1, Lillian Cheung, Robert Wokanovicz.   

Abstract

Both insurance and clinical studies depend on the Social Security Death Master File (SSDMF) to provide vital status on subjects that are unavailable for direct ascertainment. Using the Gen Re individual life claims data, we analyzed the accuracy of vital status determination in a population known to be deceased. Overall, only 75% of claims appeared in the SSDMF. The detection rate is highly skewed by age of the decedent. This systematically reduced ascertainment of mortality at younger ages could cause misleading conclusions in studies that measure absolute mortality rates, especially when they include a wide age span.

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Year:  2012        PMID: 23451614

Source DB:  PubMed          Journal:  J Insur Med        ISSN: 0743-6661


  4 in total

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

Authors:  Ann Marie Navar; Eric D Peterson; Dylan L Steen; Daniel M Wojdyla; Robert J Sanchez; Irfan Khan; Xue Song; Matthew E Gold; Michael J Pencina
Journal:  JAMA Cardiol       Date:  2019-04-01       Impact factor: 14.676

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

Authors:  Matthew A Levin; Hung-Mo Lin; Gautham Prabhakar; Patrick J McCormick; Natalia N Egorova
Journal:  Health Serv Res       Date:  2018-12-05       Impact factor: 3.402

3.  Do inferences about mortality rates and disparities vary by source of mortality information?

Authors:  John Robert Warren; Carolina Milesi; Karen Grigorian; Melissa Humphries; Chandra Muller; Eric Grodsky
Journal:  Ann Epidemiol       Date:  2016-11-22       Impact factor: 3.797

4.  Vital Status Ascertainment for a Historic Diverse Cohort of U.S. Women.

Authors:  Anna Z Pollack; Stefanie N Hinkle; Danping Liu; Edwina H Yeung; Katherine L Grantz; Sunni L Mumford; Neil Perkins; Lindsey A Sjaarda; James L Mills; Pauline Mendola; Cuilin Zhang; Enrique F Schisterman
Journal:  Epidemiology       Date:  2020-03       Impact factor: 4.860

  4 in total

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