Skip to main content
Journal cover image

Decomposition of disparities in life expectancy with applications to administrative health claims and registry data.

Publication ,  Journal Article
Akushevich, I; Yashkin, A; Kovtun, M; Stallard, E; Yashin, AI; Kravchenko, J
Published in: Theoretical population biology
October 2023

Research shows that geographic disparities in life expectancy between leading and lagging states are increasing over time while racial disparities between Black and White Americans have been going down. In the 65+ age strata morbidity is the most common cause of death, making differences in morbidity and associated adverse health-related outcomes between advantaged and disadvantaged groups an important aspect of disparities in life expectancy at age 65 (LE65). In this study, we used Pollard's decomposition to evaluate the disease-related contributions to disparities in LE65 for two types of data with distinctly differing structures: population/registry and administrative claims. To do so, we analyzed Pollard's integral, which is exact by construction, and developed exact analytic solutions for both types of data without the need for numerical integration. The solutions are broadly applicable and easily implemented. Applying these solutions, we found that the largest relative contributions to geographic disparities in LE65 were chronic lower respiratory diseases, circulatory diseases, and lung cancer; and, to racial disparities: arterial hypertension, diabetes mellitus, and cerebrovascular diseases. Overall, the increase in LE65 observed over 1998-2005 and 2010-2017 was primarily due to a reduction in the contributions of acute and chronic ischemic diseases; this was partially offset by increased contributions of diseases of the nervous system including dementia and Alzheimer's disease.

Duke Scholars

Published In

Theoretical population biology

DOI

EISSN

1096-0325

ISSN

0040-5809

Publication Date

October 2023

Volume

153

Start / End Page

50 / 68

Related Subject Headings

  • United States
  • Routinely Collected Health Data
  • Life Expectancy
  • Humans
  • Evolutionary Biology
  • Chronic Disease
  • Aged
  • 4901 Applied mathematics
  • 3104 Evolutionary biology
  • 3103 Ecology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Akushevich, I., Yashkin, A., Kovtun, M., Stallard, E., Yashin, A. I., & Kravchenko, J. (2023). Decomposition of disparities in life expectancy with applications to administrative health claims and registry data. Theoretical Population Biology, 153, 50–68. https://doi.org/10.1016/j.tpb.2023.05.001
Akushevich, I., A. Yashkin, M. Kovtun, E. Stallard, A. I. Yashin, and J. Kravchenko. “Decomposition of disparities in life expectancy with applications to administrative health claims and registry data.Theoretical Population Biology 153 (October 2023): 50–68. https://doi.org/10.1016/j.tpb.2023.05.001.
Akushevich I, Yashkin A, Kovtun M, Stallard E, Yashin AI, Kravchenko J. Decomposition of disparities in life expectancy with applications to administrative health claims and registry data. Theoretical population biology. 2023 Oct;153:50–68.
Akushevich, I., et al. “Decomposition of disparities in life expectancy with applications to administrative health claims and registry data.Theoretical Population Biology, vol. 153, Oct. 2023, pp. 50–68. Epmc, doi:10.1016/j.tpb.2023.05.001.
Akushevich I, Yashkin A, Kovtun M, Stallard E, Yashin AI, Kravchenko J. Decomposition of disparities in life expectancy with applications to administrative health claims and registry data. Theoretical population biology. 2023 Oct;153:50–68.
Journal cover image

Published In

Theoretical population biology

DOI

EISSN

1096-0325

ISSN

0040-5809

Publication Date

October 2023

Volume

153

Start / End Page

50 / 68

Related Subject Headings

  • United States
  • Routinely Collected Health Data
  • Life Expectancy
  • Humans
  • Evolutionary Biology
  • Chronic Disease
  • Aged
  • 4901 Applied mathematics
  • 3104 Evolutionary biology
  • 3103 Ecology