IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v121y2017i9p1008-1014.html
   My bibliography  Save this article

The relationship between health services standardized costs and mortality is non-linear: Results from a large HMO population

Author

Listed:
  • Cohen-Mansfield, Jiska
  • Skornick-Bouchbinder, Michal
  • Hoshen, Moshe
  • Brill, Shai

Abstract

Older age, male gender, and poor socioeconomic status have been found to predict mortality. Studies have also documented an elevation in health services standardized costs (HSSC) and expenditures in the last years of life. We examined the contribution of HSSC in the last years of life in predicting mortality beyond predictors that have been established in the literature, and whether the impact of HSSC on mortality is linear. Vulnerability, operationalized as being exempt from co-payments due to poverty, being a holocaust survivor, or other reasons, was examined as potentially mediating the relationship between HSSC and mortality. We used longitudinal data obtained from the largest Health Maintenance Organization in Israel. Subjects were insured persons who were over age 65 in 2006 (n=423,140). Predictors included demographics, co-morbidity, and HSSC. All factors significantly predicted time to death. For HSSC, high levels displayed the highest Hazard Ratios (HR), with medium levels having the lowest HRs. The higher mortality rate in the low HSSC group might indicate a risk of underutilizing health services. Vulnerable status remained a predictor of mortality even within a system of universal access to healthcare. There is a need for establishing mechanisms to identify those underutilizing health services. A universal health care system is insufficient for providing equal health care, indicating a need for additional means to increase equality.

Suggested Citation

  • Cohen-Mansfield, Jiska & Skornick-Bouchbinder, Michal & Hoshen, Moshe & Brill, Shai, 2017. "The relationship between health services standardized costs and mortality is non-linear: Results from a large HMO population," Health Policy, Elsevier, vol. 121(9), pages 1008-1014.
  • Handle: RePEc:eee:hepoli:v:121:y:2017:i:9:p:1008-1014
    DOI: 10.1016/j.healthpol.2017.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168851017301793
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.healthpol.2017.07.004?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. Dunlop, Sheryl & Coyte, Peter C. & McIsaac, Warren, 2000. "Socio-economic status and the utilisation of physicians' services: results from the Canadian National Population Health Survey," Social Science & Medicine, Elsevier, vol. 51(1), pages 123-133, July.
    2. 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.
    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.
    4. Cohen-Mansfield, Jiska & Brill, Shai, 2016. "Trajectories at the end of life: A controlled investigation of longitudinal Health Services Consumption data," Health Policy, Elsevier, vol. 120(12), pages 1395-1403.
    5. Seshamani, Meena & Gray, Alastair M., 2004. "A longitudinal study of the effects of age and time to death on hospital costs," Journal of Health Economics, Elsevier, vol. 23(2), pages 217-235, March.
    6. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    7. Gielen, Birgit & Remacle, Anne & Mertens, Raf, 2010. "Patterns of health care use and expenditure during the last 6 months of life in Belgium: Differences between age categories in cancer and non-cancer patients," Health Policy, Elsevier, vol. 97(1), pages 53-61, September.
    8. Rockett, I.R.H. & Regier, M.D. & Kapusta, N.D. & Coben, J.H. & Miller, T.R. & Hanzlick, R.L. & Todd, K.H. & Sattin, R.W. & Kennedy, L.W. & Kleinig, J. & Smith, G.S., 2012. "Leading causes of unintentional and intentional injury mortality: United States, 2000-2009," American Journal of Public Health, American Public Health Association, vol. 102(11), pages 84-92.
    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. Tim Riffe & Pil H. Chung & Jeroen Spijker & John MacInnes, 2016. "Time-to-death patterns in markers of age and dependency," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 229-254.
    2. 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.
    3. Ried, Walter, 2007. "On the relationship between aging, edical progress and age-specific health care expenditures," Wirtschaftswissenschaftliche Diskussionspapiere 08/2007, University of Greifswald, Faculty of Law and Economics.
    4. 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.
    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. Kristopher J. Hult & Tomas J. Philipson, 2012. "Public Liabilities and Health Care Policy," NBER Working Papers 18571, National Bureau of Economic Research, Inc.
    7. Felder, Stefan & Werblow, Andreas, 2008. "Do the age profiles of health care expenditure really steepen over time? New evidence from Swiss cantons," Dresden Discussion Paper Series in Economics 05/08, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    8. Ried Walter, 2007. "Medizinisch-technischer Fortschritt und altersspezifische Gesundheitsausgaben / Medical Progress and Age-specific Expenditure on Health Care," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(5-6), pages 636-659, October.
    9. Colombier, Carsten, 2012. "Drivers of health care expenditure: Does Baumol's cost disease loom large?," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 12-5, University of Cologne, FiFo Institute for Public Economics.
    10. Kyung‐Rae Hyun & Sungwook Kang & Sunmi Lee, 2016. "Population Aging and Healthcare Expenditure in Korea," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1239-1251, October.
    11. 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.
    12. 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.
    13. 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.
    14. Keese, Matthias & Meng, Annika & Schnabel, Reinhold, 2010. "Are You Well Prepared for Long-term Care? – Assessing Financial Gaps in Private German Care Provision," Ruhr Economic Papers 203, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Avalosse, Hervé & Denuit, Michel & Lucas, Nathalie, 2020. "Hospital inpatients costs dynamics at older ages: A frequency-severity approach," LIDAM Discussion Papers ISBA 2020027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    16. Jiang, Yunyun & Zhao, Tianhao & Zheng, Haitao, 2021. "Population aging and its effects on the gap of urban public health insurance in China," China Economic Review, Elsevier, vol. 68(C).
    17. Lindgren, Björn, 2016. "The Rise in Life Expectancy, Health Trends among the Elderly, and the Demand for Health and Social Care," Working Papers 142, National Institute of Economic Research.
    18. 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," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77470, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    19. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26712, University Library of Munich, Germany, revised Jun 2010.
    20. Rossana Merola & Douglas Sutherland, 2013. "Fiscal Consolidation and the Implications of Social Spending for Long-Term Fiscal Sustainability," Review of Economics and Institutions, Università di Perugia, vol. 4(3).

    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:hepoli:v:121:y:2017:i:9:p:1008-1014. 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 or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.