volume 4 issue 4 pages 375

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

Ann Marie Navar 1, 2
Eric W. Peterson 1
Dylan L. Steen 2, 3
Daniel M. Wojdyla 1
Robert J. Sanchez 4
Irfan Khan 5
Song Xue 6
Matthew E Gold 1
Michael J. Pencina 1, 7
2
 
Associate Editor, JAMA Cardiology
4
 
Regeneron Pharmaceuticals Inc, New York, New York
5
 
Sanofi, Bridgewater, New Jersey
6
 
IBM Watson Health, Cambridge, Massachusetts
7
 
Deputy Editor for Statistics, JAMA Cardiology
Publication typeJournal Article
Publication date2019-04-01
scimago Q1
wos Q1
SJR5.936
CiteScore27.1
Impact factor14.1
ISSN23806583, 23806591
Cardiology and Cardiovascular Medicine
Abstract
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.To evaluate the reliability of mortality rates in the SSDMF in a cohort of patients with atherosclerotic cardiovascular disease (ASCVD).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.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 National Center for Health Statistics (NCHS).This study of mortality data of 667 516 adults with ASCVD included 274 005 adults in the commercial insurance database cohort (171 959 male [62.8%] and median [interquartile range (IQR)] age of 58 [52-62] years) and 393 511 in the Medicare database cohort (245 366 male [62.4%] and median [IQR] age of 76 [70-83] years). Of the 41 states included, 11 states (26.8%) in the commercial cohort and 18 states (43.9%) in the Medicare cohort had a change in the hazard of death after 2012. Among states with constant hazard, state-level mortality rates using the SSDMF ranged widely, from 0.06 to 1.30 per 100 person-years (commercial cohort) and from 0.83 to 6.07 per 100 person-years (Medicare cohort). Variability between states in mortality estimates for adults with ASCVD using SSDMF data greatly exceeded variability in overall mortality from the NCHS. No correlation was found between NCHS mortality estimates and those from the SSDMF (ρ = 0.29 [P = .06] for age 55-64 years; ρ = 0.18 [P = .27] for age 65-74 years).The SSDMF appeared to markedly underestimate mortality rates, with variable undercapture among states and over time; this finding suggests that SSDMF data are not reliable and should not be used alone by researchers to estimate mortality rates.
Found 
Found 

Top-30

Journals

1
2
3
JAMA Surgery
3 publications, 5.88%
Journal of the American Heart Association
2 publications, 3.92%
Journal of Thoracic and Cardiovascular Surgery
2 publications, 3.92%
Journal of Vascular Surgery
2 publications, 3.92%
European Heart Journal
2 publications, 3.92%
JAMA Cardiology
2 publications, 3.92%
Journal of the American Medical Informatics Association : JAMIA
2 publications, 3.92%
Annals of the American Thoracic Society
1 publication, 1.96%
Journal of Gastrointestinal Surgery
1 publication, 1.96%
Circulation: Cardiovascular Interventions
1 publication, 1.96%
Circulation: Cardiovascular Imaging
1 publication, 1.96%
Circulation: Cardiovascular Quality and Outcomes
1 publication, 1.96%
Annals of Surgery
1 publication, 1.96%
Journal of the American College of Surgeons
1 publication, 1.96%
American Journal of Public Health
1 publication, 1.96%
Therapeutic Innovation and Regulatory Science
1 publication, 1.96%
Journal of General Internal Medicine
1 publication, 1.96%
Annals of Thoracic Surgery
1 publication, 1.96%
Resuscitation
1 publication, 1.96%
Value in Health
1 publication, 1.96%
Journal of Critical Care
1 publication, 1.96%
Journal of Pain and Symptom Management
1 publication, 1.96%
Heart Lung and Circulation
1 publication, 1.96%
JACC: Cardiovascular Interventions
1 publication, 1.96%
PACE - Pacing and Clinical Electrophysiology
1 publication, 1.96%
Applied Clinical Informatics
1 publication, 1.96%
Clinical Infectious Diseases
1 publication, 1.96%
JAMA network open
1 publication, 1.96%
Journal of Thoracic Disease
1 publication, 1.96%
1
2
3

Publishers

2
4
6
8
10
12
14
16
Elsevier
16 publications, 31.37%
Oxford University Press
6 publications, 11.76%
American Medical Association (AMA)
6 publications, 11.76%
Wiley
5 publications, 9.8%
Ovid Technologies (Wolters Kluwer Health)
5 publications, 9.8%
Springer Nature
3 publications, 5.88%
American Thoracic Society
1 publication, 1.96%
American Public Health Association
1 publication, 1.96%
SAGE
1 publication, 1.96%
Georg Thieme Verlag KG
1 publication, 1.96%
Institute of Electrical and Electronics Engineers (IEEE)
1 publication, 1.96%
AME Publishing Company
1 publication, 1.96%
American Society of Clinical Oncology (ASCO)
1 publication, 1.96%
BMJ
1 publication, 1.96%
Cold Spring Harbor Laboratory
1 publication, 1.96%
Taylor & Francis
1 publication, 1.96%
2
4
6
8
10
12
14
16
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
51
Share
Cite this
GOST |
Cite this
GOST Copy
Navar A. M. et al. Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research // JAMA Cardiology. 2019. Vol. 4. No. 4. p. 375.
GOST all authors (up to 50) Copy
Navar A. M., Peterson E. W., Steen D. L., Wojdyla D. M., Sanchez R. J., Khan I., Song Xue, Gold M. E., Pencina M. J. Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research // JAMA Cardiology. 2019. Vol. 4. No. 4. p. 375.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1001/jamacardio.2019.0198
UR - https://doi.org/10.1001/jamacardio.2019.0198
TI - Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research
T2 - JAMA Cardiology
AU - Navar, Ann Marie
AU - Peterson, Eric W.
AU - Steen, Dylan L.
AU - Wojdyla, Daniel M.
AU - Sanchez, Robert J.
AU - Khan, Irfan
AU - Song Xue
AU - Gold, Matthew E
AU - Pencina, Michael J.
PY - 2019
DA - 2019/04/01
PB - American Medical Association (AMA)
SP - 375
IS - 4
VL - 4
PMID - 30840023
SN - 2380-6583
SN - 2380-6591
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Navar,
author = {Ann Marie Navar and Eric W. Peterson and Dylan L. Steen and Daniel M. Wojdyla and Robert J. Sanchez and Irfan Khan and Song Xue and Matthew E Gold and Michael J. Pencina},
title = {Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research},
journal = {JAMA Cardiology},
year = {2019},
volume = {4},
publisher = {American Medical Association (AMA)},
month = {apr},
url = {https://doi.org/10.1001/jamacardio.2019.0198},
number = {4},
pages = {375},
doi = {10.1001/jamacardio.2019.0198}
}
MLA
Cite this
MLA Copy
Navar, Ann Marie, et al. “Evaluation of Mortality Data From the Social Security Administration Death Master File for Clinical Research.” JAMA Cardiology, vol. 4, no. 4, Apr. 2019, p. 375. https://doi.org/10.1001/jamacardio.2019.0198.