IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v19y2018i6d10.1007_s10198-017-0926-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-017-0926-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10198-017-0926-2?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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    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. 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).
    11. 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.
    12. 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.
    13. 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.

    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. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    2. Friedrich Breyer & Normann Lorenz, 2021. "The “red herring” after 20 years: ageing and health care expenditures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 661-667, July.
    3. Marc Carreras & Pere Ibern & José María Inoriza, 2018. "Ageing and healthcare expenditures: Exploring the role of individual health status," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 865-876, May.
    4. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    5. 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.
    6. Anne Mason & Idaira Rodriguez Santana & María José Aragón & Nigel Rice & Martin Chalkley & Raphael Wittenberg & Jose-Luis Fernandez, 2019. "Drivers of health care expenditure: Final report," Working Papers 169cherp, Centre for Health Economics, University of York.
    7. Atella, Vincenzo & Conti, Valentina, 2014. "The effect of age and time to death on primary care costs: The Italian experience," Social Science & Medicine, Elsevier, vol. 114(C), pages 10-17.
    8. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    9. Maciej Lis, 2015. "Red Herring in the Vistula River: Time-to-Death and Health Care Expenditure," IBS Working Papers 13/2015, Instytut Badan Strukturalnych.
    10. Mauro Laudicella & Paolo Li Donni & Kim Rose Olsen & Dorte Gyrd‐Hansen, 2022. "Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1184-1201, June.
    11. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    12. Moore, Patrick V. & Bennett, Kathleen & Normand, Charles, 2017. "Counting the time lived, the time left or illness? Age, proximity to death, morbidity and prescribing expenditures," Social Science & Medicine, Elsevier, vol. 184(C), pages 1-14.
    13. Christophe Kolodziejczyk, 2020. "The effect of time to death on health care expenditures: taking into account the endogeneity and right censoring of time to death," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 945-962, August.
    14. 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.
    15. Rolden, Herbert J.A. & van Bodegom, David & Westendorp, Rudi G.J., 2014. "Variation in the costs of dying and the role of different health services, socio-demographic characteristics, and preceding health care expenses," Social Science & Medicine, Elsevier, vol. 120(C), pages 110-117.
    16. Friedrich Breyer & Normann Lorenz & Thomas Niebel, 2015. "Health care expenditures and longevity: is there a Eubie Blake effect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 95-112, January.
    17. Vincenzo Atella & Valentina Conti, 2013. "The effect of age and time to death on health care expenditures: the Italian experience," CEIS Research Paper 267, Tor Vergata University, CEIS, revised 12 Nov 2013.
    18. Siciliani Luigi, 2013. "The Economics of Long-Term Care," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(2), pages 343-375, August.
    19. 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.
    20. 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.

    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

    Statistics

    Access and download statistics

    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:spr:eujhec:v:19:y:2018:i:6:d:10.1007_s10198-017-0926-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.