Literature DB >> 18503037

The public-use National Health Interview Survey linked mortality files: methods of reidentification risk avoidance and comparative analysis.

Kimberly Lochner1, Robert A Hummer, Stephanie Bartee, Gloria Wheatcroft, Christine Cox.   

Abstract

The National Center for Health Statistics (NCHS) conducts mortality follow-up for its major population-based surveys. In 2004, NCHS updated the mortality follow-up for the 1986-2000 National Health Interview Survey (NHIS) years, which because of confidentiality protections was made available only through the NCHS Research Data Center. In 2007, NCHS released a public-use version of the NHIS Linked Mortality Files that includes a limited amount of perturbed information for decedents. The modification of the public-use version included conducting a reidentification risk scenario to determine records at risk for reidentification and then imputing values for either date or cause of death for a select sample of records. To demonstrate the comparability between the public-use and restricted-use versions of the linked mortality files, the authors estimated relative hazards for all-cause and cause-specific mortality risk using a Cox proportional hazards model. The pooled 1986-2000 NHIS Linked Mortality Files contain 1,576,171 records and 120,765 deaths. The sample for the comparative analyses included 897,232 records and 114,264 deaths. The comparative analyses show that the two data files yield very similar results for both all-cause and cause-specific mortality. Analytical considerations when examining cause-specific analyses of numerically small demographic subgroups are addressed.

Mesh:

Year:  2008        PMID: 18503037      PMCID: PMC2727263          DOI: 10.1093/aje/kwn123

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


  2 in total

1.  Comparability of cause of death between ICD-9 and ICD-10: preliminary estimates.

Authors:  R N Anderson; A M Miniño; D L Hoyert; H M Rosenberg
Journal:  Natl Vital Stat Rep       Date:  2001-05-18

2.  Validity and efficiency of approximation methods for tied survival times in Cox regression.

Authors:  I Hertz-Picciotto; B Rockhill
Journal:  Biometrics       Date:  1997-09       Impact factor: 2.571

  2 in total
  32 in total

1.  Differential record linkage by Hispanic ethnicity and age in linked mortality studies: implications for the epidemiologic paradox.

Authors:  Joseph T Lariscy
Journal:  J Aging Health       Date:  2011-09-20

2.  The effects of a psychosocial dimension of socioeconomic position on survival: occupational prestige and mortality among US working adults.

Authors:  Sharon L Christ; Lora E Fleming; David J Lee; Carles Muntaner; Peter A Muennig; Alberto J Caban-Martinez
Journal:  Sociol Health Illn       Date:  2012-03-22

3.  Socioeconomic status and risk of diabetes-related mortality in the U.S.

Authors:  Sharon Saydah; Kimberly Lochner
Journal:  Public Health Rep       Date:  2010 May-Jun       Impact factor: 2.792

4.  Modeling health care policy alternatives.

Authors:  Jeanne S Ringel; Christine Eibner; Federico Girosi; Amado Cordova; Elizabeth A McGlynn
Journal:  Health Serv Res       Date:  2010-08-02       Impact factor: 3.402

5.  Alcohol consumption and cardiovascular mortality among U.S. adults, 1987 to 2002.

Authors:  Kenneth J Mukamal; Chiung M Chen; Sowmya R Rao; Rosalind A Breslow
Journal:  J Am Coll Cardiol       Date:  2010-03-30       Impact factor: 24.094

6.  Cumulative childhood adversity, educational attainment, and active life expectancy among U.S. adults.

Authors:  Jennifer Karas Montez; Mark D Hayward
Journal:  Demography       Date:  2014-04

7.  The Nonlinear Relationship between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences.

Authors:  Bethany G Everett; David H Rehkopf; Richard G Rogers
Journal:  Popul Res Policy Rev       Date:  2013-12-01

8.  Constraints on data sharing: experience from the nurses' health study.

Authors:  Graham A Colditz
Journal:  Epidemiology       Date:  2009-03       Impact factor: 4.822

9.  Self-reported major mobility disability and mortality among cancer survivors.

Authors:  Justin C Brown; Michael O Harhay; Meera N Harhay
Journal:  J Geriatr Oncol       Date:  2018-03-14       Impact factor: 3.599

10.  Smoking and mortality in stroke survivors: can we eliminate the paradox?

Authors:  Deborah A Levine; James M Walter; Sudeep J Karve; Lesli E Skolarus; Steven R Levine; Kristine A Mulhorn
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-01-15       Impact factor: 2.136

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.