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Out-of-pocket health spending among Medicare beneficiaries: Which chronic diseases are most costly?

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  • Joelle H Fong

Abstract

Background: Little is known about the impact of different types of chronic diseases on older adults’ out-of-pocket healthcare spending and whether certain diseases trigger higher spending needs than others. Methods: We use data from the 2014 Health and Retirement Study representing a weighted population of 35,939,270 Medicare beneficiaries aged 65+. Generalized linear models are applied to estimate the effect of different chronic diseases on total out-of-pocket expenditure, adjusted for demographics, socio-economic status, physical health, and other factors. We also decompose total spending by expenditure categories (inpatient, non-inpatient, and prescription drug spending). Sensitivity analysis is performed using a younger sample of older adults aged 50–64. Results: Cardiovascular disease, diabetes, hypertension and cancer, induce significantly higher adjusted out-of-pocket spending among older adults than other conditions. These results hold regardless how the spending differences are assessed (absolute or percentage terms). For Medicare beneficiaries, cardiovascular disease is associated with an excess out-of-pocket spending of $317 per year, followed by diabetes ($237), hypertension ($150), and cancer ($144). Prescription drug spending is singularly the most important driver of additional expenses for cardiovascular disease, diabetes and hypertension, while non-inpatient services spending accounts for the bulk of increased spending among those with cancer. Conclusions: Our finding that major noncommunicable diseases impact individuals’ out-of-pocket medical spending differentially–and that service drivers of increased spending may be heterogeneous across disease types–suggest that health professionals and policymakers should recognize that certain chronic diseases exert greater financial toll on the elderly. Interventions to promote more cost efficient healthcare services and consumer choices can help older adults better cope with these expensive long-lasting conditions and reduce the overall burden of noncommunicable diseases.

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  • Joelle H Fong, 2019. "Out-of-pocket health spending among Medicare beneficiaries: Which chronic diseases are most costly?," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0222539
    DOI: 10.1371/journal.pone.0222539
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    References listed on IDEAS

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    1. Laishram Ladusingh & Sanjay Kumar Mohanty & Melody Thangjam, 2018. "Triple burden of disease and out of pocket healthcare expenditure of women in India," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-13, May.
    2. Alice Chen & Dana Goldman, 2016. "Health Care Spending: Historical Trends and New Directions," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 291-319, October.
    3. Chunhuei Chi & Jwo‐Leun Lee & Shu‐Ling Tsai & Wen‐Yi Chen, 2008. "Out‐of‐pocket payment for medical care under Taiwan's National Health Insurance system," Health Economics, John Wiley & Sons, Ltd., vol. 17(8), pages 961-975, August.
    4. John Tayu Lee & Fozia Hamid & Sanghamitra Pati & Rifat Atun & Christopher Millett, 2015. "Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    5. Teh‐Wei Hu & Michael Ong & Zi‐Hua Lin & Elizabeth Li, 1999. "The effects of economic reform on health insurance and the financial burden for urban workers in China," Health Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 309-321, June.
    6. Goldman Dana P & Zissimopoulos Julie & Lu Yang, 2011. "Medical Expenditure Measures in the Health and Retirement Study," Forum for Health Economics & Policy, De Gruyter, vol. 14(2), pages 1-33, April.
    7. Anne Case & Angua Deaton, 2015. "Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century," Working Papers 15078.full.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    8. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    9. repec:mpr:mprres:3123 is not listed on IDEAS
    10. Chun Yee Wong & Jessica Greene & Xenia Dolja‐Gore & Kees van Gool, 2017. "The Rise and Fall in Out‐of‐Pocket Costs in Australia: An Analysis of the Strengthening Medicare Reforms," Health Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 962-979, August.
    11. Ayse Akincigil & Karen Zurlo, 2015. "The Economic Burden of Out-of-Pocket Medical Expenditures Before and After Implementation of the Medicare Prescription Drug Program," Working Papers, Center for Retirement Research at Boston College wp2015-28, Center for Retirement Research.
    12. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    2. Ruwan Jayathilaka & Sheron Joachim & Venuri Mallikarachchi & Nishali Perera & Dhanushika Ranawaka, 2020. "Do chronic illnesses and poverty go hand in hand?," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    3. Moulton, Stephanie & Rhodes, Alec & Haurin, Donald & Loibl, Cäzilia, 2022. "Managing the onset of a new disease in older age: Housing wealth, mortgage borrowing, and medication adherence," Social Science & Medicine, Elsevier, vol. 314(C).
    4. Wang, Kun & Marbut, Alexander R. & Suntai, Zainab & Zheng, Dianhan & Chen, Xiayu, 2022. "Patterns in older adults' perceived chronic stressor types and cognitive functioning trajectories: Are perceived chronic stressors always bad?," Social Science & Medicine, Elsevier, vol. 311(C).

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