IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v7y2010i8p3022-3037d9129.html
   My bibliography  Save this article

Micro Data Analysis of Medical and Long-Term Care Utilization Among the Elderly in Japan

Author

Listed:
  • Hideki Hashimoto

    (Department of Health Economics and Epidemiology Research, The University of Tokyo School of Public Health, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan)

  • Hiromasa Horiguchi

    (Department of Health Management and Policy, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan)

  • Shinya Matsuda

    (Department of Preventive Medicine and Community Health, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahata-nishi-ku, Kitakyushu, Fukuoka 807-8555, Japan)

Abstract

Japan is currently experiencing the most rapid population aging among all OECD countries. Increasing expenditures on medical care in Japan have been attributed to the aging of the population. Authors in the recent debate on end-of-life care and long-term care (LTC) cost in the United States and Europe have attributed time to death and non-medical care cost for the aged as a source of rising expenditures. In this study, we analyzed a large sample of local public insurance claim data to investigate medical and LTC expenditures in Japan. We examined the impact of aging, time to death, survivorship, and use of LTC on medical care expenditure for people aged 65 and above. On the basis of these findings, we conclude that age is a contributing factor to the rising expenditures on LTC, and that the contribution of aging to rising medical care expenditures should be distinguished according to survivorship.

Suggested Citation

  • Hideki Hashimoto & Hiromasa Horiguchi & Shinya Matsuda, 2010. "Micro Data Analysis of Medical and Long-Term Care Utilization Among the Elderly in Japan," IJERPH, MDPI, vol. 7(8), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:7:y:2010:i:8:p:3022-3037:d:9129
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/7/8/3022/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/7/8/3022/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Wickstrom, Jannie & Serup-Hansen, Niels & Kristiansen, Ivar Sonbo, 2002. "Future health care costs--do health care costs during the last year of life matter?," Health Policy, Elsevier, vol. 62(2), pages 161-172, November.
    3. Sally C. Stearns & Edward C. Norton, 2004. "Time to include time to death? The future of health care expenditure predictions," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 315-327, April.
    4. 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.
    5. 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.
    6. 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.
    7. Polder, Johan J. & Barendregt, Jan J. & van Oers, Hans, 2006. "Health care costs in the last year of life--The Dutch experience," Social Science & Medicine, Elsevier, vol. 63(7), pages 1720-1731, 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. Masashige Saito & Naoki Kondo & Jun Aida & Junko Saito & Hisataka Anezaki & Toshiyuki Ojima & Katsunori Kondo, 2021. "Differences in Cumulative Long-Term Care Costs by Community Activities and Employment: A Prospective Follow-Up Study of Older Japanese Adults," IJERPH, MDPI, vol. 18(10), pages 1-11, May.
    2. Shinya Sugawara & Tsunehiro Ishihara & Susumu Kunisawa & Etsu Goto & Yuichi Imanaka, 2024. "A panel vector autoregression analysis for the dynamics of medical and long‐term care expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 748-763, April.
    3. Qun Wang & Yi Zhou & Xinrui Ding & Xiaohua Ying, 2017. "Demand for Long-Term Care Insurance in China," IJERPH, MDPI, vol. 15(1), pages 1-15, December.

    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. 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.
    2. Melberg, Hans Olav & Sørensen, Jan, 2013. "How does end of life costs and increases in life expectancy affect projections of future hospital spending?," HERO Online Working Paper Series 2013:9, University of Oslo, Health Economics Research Programme.
    3. 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.
    4. 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.
    5. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    6. 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.
    7. 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.
    8. 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.
    9. Murphy, Michael & Martikainen, Pekka, 2013. "Use of hospital and long-term institutional care services in relation to proximity to death among older people in Finland," Social Science & Medicine, Elsevier, vol. 88(C), pages 39-47.
    10. 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.
    11. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    12. Karlsson, Martin & Klohn, Florian, 2011. "Some notes on how to catch a red herring: Ageing, time-to-death & care costs for older people in Sweden," Darmstadt Discussion Papers in Economics 207, Darmstadt University of Technology, Department of Law and Economics.
    13. Karlsson, Martin & Klohn, Florian, 2011. "Some notes on how to catch a red herring - Ageing, time-to-death and care costs for older people in Sweden," HERO Online Working Paper Series 2011:6, University of Oslo, Health Economics Research Programme.
    14. Anna Kollerup & Jakob Kjellberg & Rikke Ibsen, 2022. "Ageing and health care expenditures: the importance of age per se, steepening of the individual-level expenditure curve, and the role of morbidity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1121-1149, 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. Wubulihasimu, Parida & Gheorghe, Maria & Slobbe, Lany & Polder, Johan & van Baal, Pieter, 2015. "Trends in Dutch hospital spending by age and disease 1994–2010," Health Policy, Elsevier, vol. 119(3), pages 316-323.
    17. Silvia Balia & Rinaldo Brau, 2014. "A Country For Old Men? Long‐Term Home Care Utilization In Europe," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1185-1212, October.
    18. van Baal, Pieter H. & Wong, Albert, 2012. "Time to death and the forecasting of macro-level health care expenditures: Some further considerations," Journal of Health Economics, Elsevier, vol. 31(6), pages 876-887.
    19. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26747, University Library of Munich, Germany, revised Nov 2009.
    20. Stefan Felder, 2006. "Lebenserwartung, medizinischer Fortschritt und Gesundheitsausgaben: Theorie und Empirie," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 49-73, May.

    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:gam:jijerp:v:7:y:2010:i:8:p:3022-3037:d:9129. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.