Literature DB >> 19251755

The impact on National Death Index ascertainment of limiting submissions to Social Security Administration Death Master File matches in epidemiologic studies of mortality.

Sigurd W Hermansen1, Michael F Leitzmann, Arthur Schatzkin.   

Abstract

Although many epidemiologists use the National Death Index (NDI) as the "gold standard" for ascertainment of US mortality, high search costs per year and per subject for large cohorts warrant consideration of less costly alternatives. In this study, for 1995-2001 deaths, the authors compared matches of a random sample of 11,968 National Institutes of Health (NIH)-AARP Diet and Health Study subjects to the Social Security Administration's Death Master File (DMF) and commercial list updates (CLU) with matches of those subjects to the NDI. They examined how varying the lower limits of estimated DMF match probabilities (m scores of 0.60, 0.20, and 0.05) altered the benefits and costs of mortality ascertainment. Observed DMF/CLU ascertainment of NDI-identified decedents increased from 89.8% to 95.1% as m decreased from 0.60 (stringent) to 0.20 (less stringent) and increased further to 96.4% as m decreased to 0.05 (least stringent). At these same cutpoints, the false-match probability increased from 0.4% of the sample to 0.6% and then 2.3%. Limiting NDI cause-of-death searches to subjects found in DMF searches using less stringent match criteria, further supplemented by CLU vital status updates, improves vital status assessment while increasing substantially the cost-effectiveness of ascertaining mortality in large prospective cohort studies.

Entities:  

Mesh:

Year:  2009        PMID: 19251755      PMCID: PMC2732974          DOI: 10.1093/aje/kwn404

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  11 in total

1.  Accuracy of on-line databases in determining vital status.

Authors:  T H Hauser; K K Ho
Journal:  J Clin Epidemiol       Date:  2001-12       Impact factor: 6.437

Review 2.  A primer and comparative review of major US mortality databases.

Authors:  Diane C Cowper; Joseph D Kubal; Charles Maynard; Denise M Hynes
Journal:  Ann Epidemiol       Date:  2002-10       Impact factor: 3.797

3.  Identifying deaths before 1979 using the Social Security Administration Death Master File.

Authors:  T M Schnorr; K Steenland
Journal:  Epidemiology       Date:  1997-05       Impact factor: 4.822

4.  Comparison of National Death Index and World Wide Web death searches.

Authors:  H D Sesso; R S Paffenbarger; I M Lee
Journal:  Am J Epidemiol       Date:  2000-07-15       Impact factor: 4.897

5.  Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

Authors:  A Schatzkin; A F Subar; F E Thompson; L C Harlan; J Tangrea; A R Hollenbeck; P E Hurwitz; L Coyle; N Schussler; D S Michaud; L S Freedman; C C Brown; D Midthune; V Kipnis
Journal:  Am J Epidemiol       Date:  2001-12-15       Impact factor: 4.897

6.  Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old.

Authors:  Kenneth F Adams; Arthur Schatzkin; Tamara B Harris; Victor Kipnis; Traci Mouw; Rachel Ballard-Barbash; Albert Hollenbeck; Michael F Leitzmann
Journal:  N Engl J Med       Date:  2006-08-22       Impact factor: 91.245

7.  Underascertainment of deaths using social security records: a recommended solution to a little-known problem.

Authors:  Jeanine M Buchanich; David G Dolan; Gary M Marsh; Jaime Madrigano
Journal:  Am J Epidemiol       Date:  2005-06-22       Impact factor: 4.897

8.  Plan and operation of the NHANES II Mortality Study, 1992.

Authors:  C M Loria; C T Sempos; C Vuong
Journal:  Vital Health Stat 1       Date:  1999-06

9.  Use of the Social Security Administration Death Master File for ascertainment of mortality status.

Authors:  Enrique F Schisterman; Brian W Whitcomb
Journal:  Popul Health Metr       Date:  2004-03-05
View more
  24 in total

1.  Screening entire health system ECG databases to identify patients at increased risk of death.

Authors:  David G Strauss; Nathan Mewton; Richard L Verrier; Bruce D Nearing; Francis E Marchlinski; Tony Killian; John Moxley; Larisa G Tereshchenko; Katherine C Wu; Raimond Winslow; Christopher Cox; Peter M Spooner; João A C Lima
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-10-12

2.  The impact of National Death Index linkages on population-based cancer survival rates in the United States.

Authors:  Christopher J Johnson; Hannah K Weir; Aliza K Fink; Robert R German; Jack L Finch; Randi K Rycroft; Daixin Yin
Journal:  Cancer Epidemiol       Date:  2012-09-07       Impact factor: 2.984

3.  Emotion suppression and mortality risk over a 12-year follow-up.

Authors:  Benjamin P Chapman; Kevin Fiscella; Ichiro Kawachi; Paul Duberstein; Peter Muennig
Journal:  J Psychosom Res       Date:  2013-08-06       Impact factor: 3.006

4.  Ten-Year Change in Neighborhood Socioeconomic Deprivation and Rates of Total, Cardiovascular Disease, and Cancer Mortality in Older US Adults.

Authors:  Qian Xiao; David Berrigan; Tiffany M Powell-Wiley; Charles E Matthews
Journal:  Am J Epidemiol       Date:  2018-12-01       Impact factor: 4.897

5.  Quadrimodal distribution of death after trauma suggests that critical injury is a potentially terminal disease.

Authors:  Heena P Santry; Charles M Psoinos; Christopher J Wilbert; Julie M Flahive; Aimee R Kroll-Desrosiers; Timothy A Emhoff; Catarina I Kiefe
Journal:  J Crit Care       Date:  2015-01-08       Impact factor: 3.425

6.  Metabolic syndrome and risk of breast cancer mortality by menopause, obesity, and subtype.

Authors:  Daniel T Dibaba; Kemi Ogunsina; Dejana Braithwaite; Tomi Akinyemiju
Journal:  Breast Cancer Res Treat       Date:  2018-11-21       Impact factor: 4.872

7.  Cardiometabolic Mortality by Supplemental Nutrition Assistance Program Participation and Eligibility in the United States.

Authors:  Zach Conrad; Colin D Rehm; Parke Wilde; Dariush Mozaffarian
Journal:  Am J Public Health       Date:  2017-01-19       Impact factor: 9.308

8.  Menopausal hormone therapy and mortality among endometrial cancer patients in the NIH-AARP Diet and Health Study.

Authors:  Ashley S Felix; Hannah Arem; Britton Trabert; Gretchen L Gierach; Yikyung Park; Ruth M Pfeiffer; Louise A Brinton
Journal:  Cancer Causes Control       Date:  2015-05-12       Impact factor: 2.506

9.  Adherence to cancer prevention guidelines and cancer incidence, cancer mortality, and total mortality: a prospective cohort study.

Authors:  Geoffrey C Kabat; Charles E Matthews; Victor Kamensky; Albert R Hollenbeck; Thomas E Rohan
Journal:  Am J Clin Nutr       Date:  2015-01-07       Impact factor: 7.045

10.  Dietary and supplemental calcium intake and cardiovascular disease mortality: the National Institutes of Health-AARP diet and health study.

Authors:  Qian Xiao; Rachel A Murphy; Denise K Houston; Tamara B Harris; Wong-Ho Chow; Yikyung Park
Journal:  JAMA Intern Med       Date:  2013-04-22       Impact factor: 21.873

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.