Literature DB >> 12377423

A primer and comparative review of major US mortality databases.

Diane C Cowper1, Joseph D Kubal, Charles Maynard, Denise M Hynes.   

Abstract

PURPOSE: Mortality data are important tools for research requiring vital status information. We reviewed the major mortality databases and mortality ascertainment services available in the United States, including the National Death Index (NDI), the Social Security Administration (SSA) files, and the Department of Veterans Affairs databases.
METHODS: The content, reliability, and accuracy of mortality sources are described and compared. We also describe how investigators can gain access to these resources and provide further contact information.
RESULTS: We reviewed the accuracy of major mortality sources. The sensitivity (i.e., the proportion of the true number of deaths) of the NDI ranged from 87.0% to 97.9%, whereas the sensitivity for the VA Beneficiary Identification and Records Locator System (BIRLS) ranged between 80.0% and 94.5%. The sensitivity of SSA files ranged between 83.0% and 83.6%. Sensitivity for the VA Patient Treatment File (PTF) was 33%.
CONCLUSIONS: While several national mortality ascertainment services are available for vital status (i.e., death) analyses, the NDI information demonstrated the highest sensitivity and, currently, it is the only source at the national level with a cause of death field useful for research purposes. Researchers must consider methods used to ascertain vital status as well as the quality of the information in mortality databases.

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Year:  2002        PMID: 12377423     DOI: 10.1016/s1047-2797(01)00285-x

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  208 in total

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2.  Posttraumatic stress disorder screening status is associated with increased VA medical and surgical utilization in women.

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3.  Are there gender differences in diabetes care among elderly Medicare enrolled veterans?

Authors:  Chin-Lin Tseng; Usha Sambamoorthi; Mangala Rajan; Anjali Tiwari; Susan Frayne; Patricia Findley; Leonard Pogach
Journal:  J Gen Intern Med       Date:  2006-03       Impact factor: 5.128

4.  Informatics resources to support health care quality improvement in the veterans health administration.

Authors:  Denise M Hynes; Ruth A Perrin; Steven Rappaport; Joanne M Stevens; John G Demakis
Journal:  J Am Med Inform Assoc       Date:  2004-06-07       Impact factor: 4.497

5.  Predictors of suicide in patients with dementia.

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6.  Antidepressant agents and suicide death among US Department of Veterans Affairs patients in depression treatment.

Authors:  Marcia Valenstein; Hyungjin Myra Kim; Dara Ganoczy; Daniel Eisenberg; Paul N Pfeiffer; Karen Downing; Katherine Hoggatt; Mark Ilgen; Karen L Austin; Kara Zivin; Frederic C Blow; John F McCarthy
Journal:  J Clin Psychopharmacol       Date:  2012-06       Impact factor: 3.153

7.  Suicide mortality among patients treated by the Veterans Health Administration from 2000 to 2007.

Authors:  Frederic C Blow; Amy S B Bohnert; Mark A Ilgen; Rosalinda Ignacio; John F McCarthy; Marcia M Valenstein; Kerry L Knox
Journal:  Am J Public Health       Date:  2012-03       Impact factor: 9.308

8.  Sleep disturbance preceding suicide among veterans.

Authors:  Wilfred R Pigeon; Peter C Britton; Mark A Ilgen; Ben Chapman; Kenneth R Conner
Journal:  Am J Public Health       Date:  2012-01-25       Impact factor: 9.308

9.  Risk factors for 90-day and 180-day mortality in hospitalised patients with pressure ulcers.

Authors:  Anna Flattau; Arthur E Blank
Journal:  Int Wound J       Date:  2012-06-28       Impact factor: 3.315

10.  SPECT myocardial perfusion imaging in morbidly obese patients: image quality, hemodynamic response to pharmacologic stress, and diagnostic and prognostic value.

Authors:  W Lane Duvall; Lori B Croft; Jared S Corriel; Andrew J Einstein; Jonathan E Fisher; Pilar S Haynes; Randi K Rose; Milena J Henzlova
Journal:  J Nucl Cardiol       Date:  2006 Mar-Apr       Impact factor: 5.952

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