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Determinants of health care costs in the senior elderly: age, comorbidity, impairment, or proximity to death?

Author

Listed:
  • Nisha C. Hazra

    (King’s College London)

  • Caroline Rudisill

    (London School of Economics and Political Science)

  • Martin C. Gulliford

    (King’s College London
    National Institutes for Health Research Biomedical Research Centre at Guy’s and St Thomas’ National Health Service Foundation Trust)

Abstract

Ageing is assumed to be accompanied by greater health care expenditures but the association is also viewed as a ‘red herring’. This study aimed to evaluate whether age is associated with health care costs in the senior elderly, using electronic health records for 98,220 participants aged 80 years and over registered with the UK Clinical Practice Research Datalink and linked Hospital Episode Statistics (2010–2014). Annual costs of health care utilization were estimated from a two-part model; multiple fractional polynomial models were employed to evaluate the non-linear association of age with predicted health care costs while also controlling for comorbidities, impairments, and death proximity. Annual health care costs increased from 80 years (£2972 in men, £2603 in women) to 97 (men; £4721) or 98 years (women; £3963), before declining. Costs were significantly elevated in the last year of life but this effect declined with age, from £10,027 in younger octogenarians to £7021 in centenarians. This decline was steeper in participants with comorbidities or impairments; £14,500 for 80–84-year-olds and £6752 for centenarians with 7+ impairments. At other times, comorbidity and impairments, not age, were main drivers of costs. We conclude that comorbidities, impairments, and proximity to death are key mediators of age-related increases in health care costs. While the costs of comorbidity among survivors are not generally associated with age, additional costs in the last year of life decline with age.

Suggested Citation

  • Nisha C. Hazra & Caroline Rudisill & Martin C. Gulliford, 2018. "Determinants of health care costs in the senior elderly: age, comorbidity, impairment, or proximity to death?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 831-842, July.
  • Handle: RePEc:spr:eujhec:v:19:y:2018:i:6:d:10.1007_s10198-017-0926-2
    DOI: 10.1007/s10198-017-0926-2
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    References listed on IDEAS

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    1. Emi Sato & Kiyohide Fushimi, 2009. "What has influenced patient health‐care expenditures in Japan?: variables of age, death, length of stay, and medical care," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 843-853, July.
    2. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
    3. Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of ‘red herrings’?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126, October.
    4. Albert Wong & Pieter H. M. van Baal & Hendriek C. Boshuizen & Johan J. Polder, 2011. "Exploring the influence of proximity to death on disease‐specific hospital expenditures: a carpaccio of red herrings," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 379-400, April.
    5. Duan, Naihua, et al, 1984. "Choosing between the Sample-Selection Model and the Multi-part Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 283-289, July.
    6. Van Houtven, Courtney Harold & Norton, Edward C., 2004. "Informal care and health care use of older adults," Journal of Health Economics, Elsevier, vol. 23(6), pages 1159-1180, November.
    7. Baoping Shang & Dana Goldman, 2008. "Does age or life expectancy better predict health care expenditures?," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 487-501, April.
    8. Claudia Geue & Andrew Briggs & James Lewsey & Paula Lorgelly, 2014. "Population ageing and healthcare expenditure projections: new evidence from a time to death approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(8), pages 885-896, November.
    9. Dorothy D. Dunlop & Larry M. Manheim & Jing Song & Rowland W. Chang, 2002. "Gender and Ethnic/Racial Disparities in Health Care Utilization Among Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 57(4), pages 221-233.
    10. Mora, T. & Gil, J. & Sicras-Mainar, A., 2013. "The influence of BMI, obesity and overweight on medical costs: a panel data perspective," Health, Econometrics and Data Group (HEDG) Working Papers 13/15, HEDG, c/o Department of Economics, University of York.
    11. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496, September.
    12. Meena Seshamani & Alastair Gray, 2004. "Ageing and health‐care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314, April.
    13. Christian Salas & James P. Raftery, 2001. "Econometric issues in testing the age neutrality of health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 669-671, October.
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    Cited by:

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    2. Linglong Ye & Jiecheng Luo & Ben-Chang Shia & Ya Fang, 2019. "Multidimensional Health Groups and Healthcare Utilization Among Elderly Chinese: Based on the 2014 CLHLS Dataset," IJERPH, MDPI, vol. 16(20), pages 1-13, October.
    3. Edward Martey, 2022. "Blessing or Burden: The Elderly and Household Welfare in Ghana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 803-827, July.
    4. Marta Pascual-Sáez & David Cantarero-Prieto & María González-Diego, 2018. "Testing the effect of population ageing on national saving rates: panel data evidence from Europe," Working Papers. Collection B: Regional and sectoral economics 1803, Universidade de Vigo, GEN - Governance and Economics research Network.
    5. Audrey Tanguy-Melac & Dorian Verboux & Laurence Pestel & Anne Fagot-Campagna & Philippe Tuppin & Christelle Gastaldi-Ménager, 2021. "Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1039-1052, September.
    6. Ahmed Abdelmajed Alkhodary & Syed Mohamed Aljunid & Aniza Ismail & Amrizal Muhammad Nur & Suzana Shahar, 2022. "Health Care Utilization and Out-of-Pocket Payments among Elderly with Cognitive Frailty in Malaysia," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    7. Murat Gündüz, 2020. "Healthcare expenditure and carbon footprint in the USA: evidence from hidden cointegration approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 801-811, July.
    8. Jonas Krämer & Jonas Schreyögg, 2019. "Demand-side determinants of rising hospital admissions in Germany: the role of ageing," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(5), pages 715-728, July.
    9. Sylvia E. Twersky & Adam Davey, 2022. "National Hospitalization Trends and the Role of Preventable Hospitalizations among Centenarians in the United States (2000–2009)," IJERPH, MDPI, vol. 19(2), pages 1-10, January.
    10. Torrini, Irene & Grassetti, Luca & Rizzi, Laura, 2023. "Under-spending, over-spending or substitution among services? Spatial patterns of unexplained shares of health care expenditures," Health Policy, Elsevier, vol. 137(C).
    11. Maynou, Laia & Street, Andrew & García−Altés, Anna, 2023. "Living longer in declining health: Factors driving healthcare costs among older people," Social Science & Medicine, Elsevier, vol. 327(C).
    12. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    13. Małgorzata Cygańska & Magdalena Kludacz-Alessandri & Chris Pyke, 2023. "Healthcare Costs and Health Status: Insights from the SHARE Survey," IJERPH, MDPI, vol. 20(2), pages 1-14, January.
    14. Maria Ana Matias & Rita Santos & Panos Kasteridis & Katja Grasic & Anne Mason & Nigel Rice, 2022. "Approaches to projecting future healthcare demand," Working Papers 186cherp, Centre for Health Economics, University of York.

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    More about this item

    Keywords

    Health care costs; Electronic health records; Elderly; Ageing; Ecological fallacy;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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