IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v153y2023icp50-68.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580923000345
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tpb.2023.05.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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 Beltrán-Sánchez & Samuel H. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marie-Pier Bergeron-Boucher & Marcus Ebeling & Vladimir Canudas-Romo, 2015. "Decomposing changes in life expectancy: Compression versus shifting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(14), pages 391-424.
    2. 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.
    3. 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.
    4. Jose Manuel Aburto & Jesús-Adrián Alvarez & Francisco Villavicencio & James W. Vaupel, 2019. "The threshold age of the lifetable entropy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(4), pages 83-102.
    5. Karina Acosta-Ordoñez & Julio E. Romero-Prieto, 2017. "Cambios recientes en las principales causas de mortalidad en Colombia," Chapters, in: Jaime Bonet & Karelys Guzmán-Finol & Lucas Wilfried Hahn-De-Castro (ed.), La salud en Colombia: una perspectiva regional, chapter 4, pages 79-119, Banco de la Republica de Colombia.
    6. 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.
    7. Dmitri A. Jdanov & Vladimir M. Shkolnikov, 2014. "Assessment of cross-sectional and longitudinal components of a difference with an algorithm of contour replacement," MPIDR Working Papers WP-2014-010, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. Dmitri A. Jdanov & Vladimir M. Shkolnikov & Alyson A. van Raalte & Evgeny M. Andreev, 2017. "Decomposing Current Mortality Differences Into Initial Differences and Differences in Trends: The Contour Decomposition Method," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1579-1602, August.
    9. Vladimir Shkolnikov & Evgeny Andreev & Zhen Zhang & James Oeppen & James Vaupel, 2011. "Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses," Demography, Springer;Population Association of America (PAA), vol. 48(1), pages 211-239, February.
    10. Marie-Pier Bergeron-Boucher & Jim Oeppen & Niels Vilstrup Holm & Hanne Melgaard Nielsen & Rune Lindahl-Jacobsen & Maarten Jan Wensink, 2019. "Understanding Differences in Cancer Survival between Populations: A New Approach and Application to Breast Cancer Survival Differentials between Danish Regions," IJERPH, MDPI, vol. 16(17), pages 1-16, August.
    11. Alyson van Raalte & Pekka Martikainen & Mikko Myrskylä, 2014. "Lifespan Variation by Occupational Class: Compression or Stagnation Over Time?," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 73-95, February.
    12. Alyson Raalte & Hal Caswell, 2013. "Perturbation Analysis of Indices of Lifespan Variability," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1615-1640, October.
    13. Rosa Gómez-Redondo & Carl Boe, 2005. "Decomposition analysis of Spanish life expectancy at birth," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(20), pages 521-546.
    14. Qi Cui & Vladimir Canudas-Romo & Heather Booth, 2019. "The Mechanism Underlying Change in the Sex Gap in Life Expectancy at Birth: An Extended Decomposition," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2307-2321, December.
    15. Aburto, José Manuel & di Lego, Vanessa & Riffe, Tim & Kashyap, Ridhi & van Raalte, Alyson & Torrisi, Orsola, 2023. "A global assessment of the impact of violence on lifetime uncertainty," LSE Research Online Documents on Economics 118196, London School of Economics and Political Science, LSE Library.
    16. Konstantinos N. Zafeiris, 2020. "Gender differences in life expectancy at birth in Greece 1994–2017," Journal of Population Research, Springer, vol. 37(1), pages 73-89, March.
    17. Ilya Kashnitsky & Jose Manuel Aburto, 2019. "Geofaceting: Aligning small-multiples for regions in a spatially meaningful way," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(17), pages 477-490.
    18. Seaman, Rosie & Riffe, Tim & Leyland, Alastair H. & Popham, Frank & van Raalte, Alyson, 2019. "The increasing lifespan variation gradient by area-level deprivation: A decomposition analysis of Scotland 1981–2011," Social Science & Medicine, Elsevier, vol. 230(C), pages 147-157.
    19. Audrey Ugarte & Onofre Alves Simões, 2020. "Breaking Life Expectancy into Small Pieces," Working Papers REM 2020/0154, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    20. Hiram Beltrán-Sánchez & Samuel H. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:153:y:2023:i:c:p:50-68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.