IDEAS home Printed from https://ideas.repec.org/p/jku/cdlwps/wp2101.html
   My bibliography  Save this paper

Looking into the Black Box of “Medical Progress”: Rising Health Expenditures by Illness Type and Age

Author

Listed:

Abstract

There is agreement among health economists that on the whole medical innovation causes health care expenditures (HCE) to rise. This paper analyzes for which diagnoses and in which age groups HCE per patient have grown significantly faster than average HCE. We distinguish decedents (patients in their last four years of life) from survivors and use a unique dataset comprising detailed HCE of all members of a regional health insurance fund in Upper Austria for the period 2005-2018. Our results indicate that among decedents in particular the expenditures for treatment of neoplasms have exceeded the general trend in HCE. This confirms that medical progress for this group of diseases has been particularly strong over the last 15 years. For survivors, we find a noticeable growth in cases and cost per case for pregnancies and childbirth and also for treatment of mental and behavioral disorders. The pattern of expenditures over age groups shows that among decedents the younger age groups (below 75) exhibit both the highest HCE per capita and the highest expenditure growth over time. For survivors, we find a steady increase in annual per capita HCE over age in both sexes, but the highest growth rates are observed in the age groups between 20 and 50 years.

Suggested Citation

  • Friedrich Breyer & Normann Lorenz & Gerald Pruckner & Thomas Schober, 2021. "Looking into the Black Box of “Medical Progress”: Rising Health Expenditures by Illness Type and Age," CDL Aging, Health, Labor working papers 2021-01, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
  • Handle: RePEc:jku:cdlwps:wp2101
    Note: English
    as

    Download full text from publisher

    File URL: http://cdecon.jku.at/wp-content/uploads/wp2101CD.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eric French & Jeremy Mccauley & Maria Aragon & Pieter Bakx & Martin Chalkley & Stacey H. Chen & Bent J. Christensen & Hongwei Chuang & Aurelie Côté-Sergent & Mariacristina de Nardi & Elliott Fan & Dam, 2017. "End-Of-Life Medical Spending In Last Twelve Months Of Life Is Lower Than Previously Reported," Post-Print halshs-01631529, HAL.
    2. David M. Cutler & Mark McClellan, 1996. "The Determinants of Technological Change in Heart Attack Treatment," NBER Working Papers 5751, National Bureau of Economic Research, Inc.
    3. Eric French & Elaine Kelly & Eric French & Elaine Kelly, 2016. "Medical Spending around the Developed World," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 327-344, September.
    4. 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.
    5. 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.
    6. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    7. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    8. 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.
    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. Stefan Fetzer & Stefan Moog, 2021. "Indicators for Measuring Intergenerational Fairness of Social Security Systems—The Case of the German Social Health Insurance," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    2. Valeska Hofbauer-Milan & Stefan Fetzer & Christian Hagist, 2023. "How to Predict Drug Expenditure: A Markov Model Approach with Risk Classes," PharmacoEconomics, Springer, vol. 41(5), pages 561-572, May.

    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. Friedrich Breyer & Normann Lorenz & Gerald J. Pruckner & Thomas Schober, 2022. "Looking into the black box of “Medical Innovation”: rising health expenditures by illness type," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1601-1612, December.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Carsten Colombier, 2018. "Population ageing in healthcare – a minor issue? Evidence from Switzerland," Applied Economics, Taylor & Francis Journals, vol. 50(15), pages 1746-1760, March.
    7. repec:dau:papers:123456789/7972 is not listed on IDEAS
    8. Maciej Lis, 2016. "Age or time-to-death – what drives health care expenditures? Panel data evidence from the OECD countries," IBS Working Papers 04/2016, Instytut Badan Strukturalnych.
    9. Stefan Felder, 2006. "Lebenserwartung, medizinischer Fortschritt und Gesundheitsausgaben: Theorie und Empirie," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 7(s1), pages 49-73, May.
    10. Elisabet Rodriguez Llorian & Janelle Mann, 2022. "Exploring the technology–healthcare expenditure nexus: a panel error correction approach," Empirical Economics, Springer, vol. 62(6), pages 3061-3086, June.
    11. 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.
    12. Isabel Casas & Jiti Gao & Bin Peng & Shangyu Xie, 2021. "Time‐varying income elasticities of healthcare expenditure for the OECD and Eurozone," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 328-345, April.
    13. Alfons Palangkaraya & Jongsay Yong, 2009. "Population ageing and its implications on aggregate health care demand: empirical evidence from 22 OECD countries," International Journal of Health Economics and Management, Springer, vol. 9(4), pages 391-402, December.
    14. Astolfi, Roberto & Lorenzoni, Luca & Oderkirk, Jillian, 2012. "Informing policy makers about future health spending: A comparative analysis of forecasting methods in OECD countries," Health Policy, Elsevier, vol. 107(1), pages 1-10.
    15. Claudia Geue & Paula Lorgelly & James Lewsey & Carole Hart & Andrew Briggs, 2015. "Hospital Expenditure at the End-of-Life: What Are the Impacts of Health Status and Health Risks?," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    16. Edward Norton & Hua Wang & Sally Stearns, 2006. "Behavioral Implications of Out-of-Pocket Health Care Expenditures," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(V), pages 3-11.
    17. Laurence J. Kotlikoff, 2005. "Who’s Going Broke? Comparing Growth in Healthcare Costs in Ten OECD Countries," Working Papers id:286, eSocialSciences.
    18. Gianluca Baio & Laura Magazzini & Claudia Oglialoro & Fabio Pammolli & Massimo Riccaboni, 2005. "Medical Devices: Competitiveness and Impact on Public Health Expenditure," Working Papers CERM 05-2005, Competitività, Regole, Mercati (CERM).
    19. 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.
    20. Hintermann, Beat & Minke, Matthias, 2018. "The value of extending life at its end: Health care allocation in the presence of learning spillovers," Working papers 2018/15, Faculty of Business and Economics - University of Basel.
    21. Fredrik Gregersen, 2014. "The impact of ageing on health care expenditures: a study of steepening," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 979-989, December.

    More about this item

    Keywords

    health care expenditures.;

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:jku:cdlwps:wp2101. 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: René Böheim (email available below). General contact details of provider: https://edirc.repec.org/data/vlinzat.html .

    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.