Literature DB >> 6625029

On the feasibility of linking census samples to the National Death Index for epidemiologic studies: a progress report.

E Rogot, M Feinleib, K A Ockay, S H Schwartz, R Bilgrad, J E Patterson.   

Abstract

To test the feasibility of using large national probability samples provided by the US Census Bureau, a pilot project was initiated to link 230,000 Census-type records to the National Death Index (NDI). Using strict precautions to maintain the complete confidentiality of individual records, the Current Population Survey files of one month in 1973 and one month in 1978 were matched by computer to the 1979 NDI file. The basic question to be addressed was whether deaths so obtained are seriously underestimated when there is no Social Security Number (SSN) in the Census record. The search of the NDI file resulted in 5,542 matches of which about 1,800 appear to be "true positives" representing deaths, the remainder are "false positives." Of the deaths, 80 per cent would still have been detected without SSN in the Census record. The main reasons for missing deaths (false negatives) were discrepancies in the year of birth and in the given name. Assuming certain changes in the NDI matching algorithm, the 80 per cent figure could increase to 85 per cent or higher; however, this could also cause significant increases in the number of false positives. The National Heart, Lung and Blood Institute (NHLBI) and Census Bureau staff are currently developing a probabilistic method to eliminate false positives from the NDI output tape. The results of the pilot study indicate that a larger research project is clearly feasible.

Mesh:

Year:  1983        PMID: 6625029      PMCID: PMC1651138          DOI: 10.2105/ajph.73.11.1265

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  13 in total

1.  Life expectancy by employment status, income, and education in the National Longitudinal Mortality Study.

Authors:  E Rogot; P D Sorlie; N J Johnson
Journal:  Public Health Rep       Date:  1992 Jul-Aug       Impact factor: 2.792

2.  Vital status in the National Panel Survey of Black Americans: a test of the National Death Index among African Americans.

Authors:  T A LaVeist; C Diala; M Torres; J S Jackson
Journal:  J Natl Med Assoc       Date:  1996-08       Impact factor: 1.798

3.  Leukocyte telomere length and mortality in the National Health and Nutrition Examination Survey, 1999-2002.

Authors:  Belinda L Needham; David Rehkopf; Nancy Adler; Steven Gregorich; Jue Lin; Elizabeth H Blackburn; Elissa S Epel
Journal:  Epidemiology       Date:  2015-07       Impact factor: 4.822

4.  The National Death Index.

Authors:  B MacMahon
Journal:  Am J Public Health       Date:  1983-11       Impact factor: 9.308

5.  Strategy and art in automated death searches.

Authors:  H B Newcombe
Journal:  Am J Public Health       Date:  1984-12       Impact factor: 9.308

6.  The California Automated Mortality Linkage System (CAMLIS).

Authors:  M G Arellano; G R Petersen; D B Petitti; R E Smith
Journal:  Am J Public Health       Date:  1984-12       Impact factor: 9.308

7.  Measuring the accuracy of vital status data in cohort studies.

Authors:  M J Fett
Journal:  Am J Public Health       Date:  1985-12       Impact factor: 9.308

8.  The accuracy of the National Death Index when personal identifiers other than Social Security number are used.

Authors:  B C Williams; L B Demitrack; B E Fries
Journal:  Am J Public Health       Date:  1992-08       Impact factor: 9.308

9.  Subjective health status as a determinant of mortality among African-American elders.

Authors:  R S Onawola; T A LaVeist
Journal:  J Natl Med Assoc       Date:  1998-12       Impact factor: 1.798

10.  The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up cohort, 1988-2001.

Authors:  David H Rehkopf; Lisa F Berkman; Brent Coull; Nancy Krieger
Journal:  BMC Public Health       Date:  2008-11-10       Impact factor: 3.295

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