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

Author

Listed:
  • Akushevich, I.
  • Yashkin, A.
  • Kovtun, M.
  • Stallard, E.
  • Yashin, A.I.
  • Kravchenko, J.
Abstract
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.

Suggested Citation

  • 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, Elsevier, vol. 153(C), pages 50-68.
  • Handle: RePEc:eee:thpobi:v:153:y:2023:i:c:p:50-68
    DOI: 10.1016/j.tpb.2023.05.001
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    References listed on IDEAS

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    1. Evgeny M. Andreev & Vladimir Shkolnikov & Alexander Begun, 2002. "Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity-progression ratios and total fertility rat," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 7(14), pages 499-522.
    2. Shiro Horiuchi & John Wilmoth & Scott Pletcher, 2008. "A decomposition method based on a model of continuous change," Demography, Springer;Population Association of America (PAA), vol. 45(4), pages 785-801, November.
    3. Yun, Myeong-Su, 2004. "Decomposing differences in the first moment," Economics Letters, Elsevier, vol. 82(2), pages 275-280, February.
    4. Adrien Remund & Carlo G. Camarda & Tim Riffe, 2018. "A Cause-of-Death Decomposition of Young Adult Excess Mortality," Demography, Springer;Population Association of America (PAA), vol. 55(3), pages 957-978, June.
    5. J. Pollard, 1988. "On the decomposition of changes in expectation of life and differentials in life expectancy," Demography, Springer;Population Association of America (PAA), vol. 25(2), pages 265-276, May.
    6. Hiram Beltran-Sanchez & Samuel Preston & Vladimir Canudas-Romo, 2008. "An integrated approach to cause-of-death analysis: cause-deleted life tables and decompositions of life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(35), pages 1323-1350.
    7. Per Kragh Andersen & Vladimir Canudas-Romo & Niels Keiding, 2013. "Cause-specific measures of life years lost," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(41), pages 1127-1152.
    8. James Vaupel & Vladimir Romo, 2003. "Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz’s 90th birthday," Demography, Springer;Population Association of America (PAA), vol. 40(2), pages 201-216, May.
    9. Akushevich, I. & Yashkin, A.P. & Kravchenko, J. & Fang, F. & Arbeev, K. & Sloan, F. & Yashin, A.I., 2017. "Theory of partitioning of disease prevalence and mortality in observational data," Theoretical Population Biology, Elsevier, vol. 114(C), pages 117-127.
    10. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    11. Beltrán-Sánchez, Hiram & Soneji, Samir, 2011. "A unifying framework for assessing changes in life expectancy associated with changes in mortality: The case of violent deaths," Theoretical Population Biology, Elsevier, vol. 80(1), pages 38-48.
    12. repec:cai:popine:popu_p1985_40n4-5_0770 is not listed on IDEAS
    13. Yamunadevi.A & S. Sulaja, 2016. "Old Age Mortality in India ?An Exploration from Life Expectancy at Age 60," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 6(12), pages 698-704, December.
    14. Eduardo Arriaga, 1984. "Measuring and explaining the change in life expectancies," Demography, Springer;Population Association of America (PAA), vol. 21(1), pages 83-96, February.
    15. Majid Ezzati & Ari B Friedman & Sandeep C Kulkarni & Christopher J L Murray, 2008. "The Reversal of Fortunes: Trends in County Mortality and Cross-County Mortality Disparities in the United States," PLOS Medicine, Public Library of Science, vol. 5(4), pages 1-12, April.
    16. Yamunadevi A & S Sulaja, 2016. "Old Age Mortality in India –An Exploration from Life Expectancy at Age 60," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 6(12), pages 698-704.
    17. Sergei Scherbov & Dalkhat Ediev, 2011. "Significance of life table estimates for small populations: Simulation-based study of estimation errors," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(22), pages 527-550.
    18. Glenn Firebaugh & Francesco Acciai & Aggie Noah & Christopher J Prather & Claudia Nau, 2014. "Why the racial gap in life expectancy is declining in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(32), pages 975-1006.
    19. Yan Zheng & Qingsong Chang & Paul Siu Fai Yip, 2019. "Understanding the Increase in Life Expectancy in Hong Kong: Contributions of Changes in Age- and Cause-Specific Mortality," IJERPH, MDPI, vol. 16(11), pages 1-15, June.
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