Literature DB >> 29845634

Decomposing Mortality Disparities in Urban and Rural U.S. Counties.

Jennifer C Spencer1,2, Stephanie B Wheeler1,2, Jason S Rotter1, George M Holmes1,3.   

Abstract

OBJECTIVE: To understand the role of county characteristics in the growing divide between rural and urban mortality from 1980 to 2010. DATA SOURCE: Age-adjusted mortality rates for all U.S. counties from 1980 to 2010 were obtained from the CDC Compressed Mortality File and combined with county characteristics from the U.S. Census Bureau, the Area Health Resources File, and the Inter-University Consortium for Political and Social research. STUDY
DESIGN: We used Oaxaca-Blinder decomposition to assess the extent to which rural-urban mortality disparities are explained by observed county characteristics at each decade. PRINCIPAL
FINDINGS: Decomposition shows that, at each decade, differences in rural/urban characteristics are sufficient to explain differences in mortality. Furthermore, starting in 1990, rural counties have significantly lower predicted mortality than urban counties when given identical county characteristics. We find changes in the effect of characteristics on mortality, not the characteristics themselves, drive the growing mortality divide.
CONCLUSIONS: Differences in economic and demographic characteristics between rural and urban counties largely explain the differences in age-adjusted mortality in any given year. Over time, the role these characteristics play in improving mortality has increased differentially for urban counties. As characteristics continue changing in importance as determinants of health, this divide may continue to widen. © Health Research and Educational Trust.

Keywords:  Econometrics; determinants of health; geographic/spatial factors; population health; rural health; small area variations; socioeconomic causes of health

Mesh:

Year:  2018        PMID: 29845634      PMCID: PMC6232410          DOI: 10.1111/1475-6773.12982

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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