IDEAS home Printed from https://ideas.repec.org/p/tep/teppwp/wp10-08.html
   My bibliography  Save this paper

Ageing, chronic conditions and the evolution of future drugs expenditures

Author

Listed:
  • Thomas Barnay
  • Sophie Thiébaut
  • Bruno Ventelou

Abstract

Context The healthy ageing assumptions may lead to substantial changes in paths of aggregate healthcare expenditures, notably catastrophic expenditures of people at the end of the life. But clear assessments of involved amounts are not available when we specifically consider ambulatory care (as drug expenditures) generally offered to chronically-ill people who can remain in this health-status for a long time onward. The Government and Social Security need tools to predict the future cost of health in particular drugs expenditures taking account epidemiological changes on future. This study estimates the evolution in reimbursable outpatient drug expenditures, attributable to age structure and chronic conditions changes, of the French population up to 2029. * Methods Matched data from both the 2004 Health and Social Protection Survey (carried out by IRDES) and from French Social Security databases were used in this study. We estimate the effects of epidemiological and life expectancy changes on French health expenditures until 2029 by applying a markovian microsimulation model from a nationally representative database. The originality of these simulations holds in using an aggregate indicator of morbidity-mortality, capturing vital risk and making it possible to adapt the quantification of life expectancies by taking into account the presence of severe chronic pathologies. Three epidemiological scenarios were constructed. * Findings We forecast future national drugs expenditures, under different epidemiological scenarios of chronic morbidity: Trend scenario, healthy ageing scenario and medical progress scenario. For the population aged 25+, results predict an increase in reimbursable drug expenditures of between 1.1% and 1.8% (annual growth rate), attributable solely to the ageing population and changes in health status. * Conclusion The small difference between the healthy ageing scenario (1.1%) and the simple continuation of trends scenario (1.4%) indicates that, co
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Thomas Barnay & Sophie Thiébaut & Bruno Ventelou, 2010. "Ageing, chronic conditions and the evolution of future drugs expenditures," TEPP Working Paper 2010-08, TEPP.
    • Handle: RePEc:tep:teppwp:wp10-08
    as

    Download full text from publisher

    File URL: http://www.tepp-repec.eu/RePEc/files/teppwp/wp8-btv-10-tepp-v2.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Oecd, 2006. "Projecting OECD Health and Long-Term Care Expenditures: What Are the Main Drivers?," OECD Economics Department Working Papers 477, OECD Publishing.
    2. 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.
    3. Victor R. Fuchs, 2018. "“Though Much Is Taken”: Reflections on Aging, Health, and Medical Care," World Scientific Book Chapters, in: Health Economics and Policy Selected Writings by Victor Fuchs, chapter 33, pages 403-424, World Scientific Publishing Co. Pte. Ltd..
    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. Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
    6. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    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. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    9. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    10. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    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. repec:spo:wpmain:info:hdl:2441/5cg3fnvgpv8u5peaglp6lrkkaq is not listed on IDEAS
    2. repec:hal:spmain:info:hdl:2441/5cg3fnvgpv8u5peaglp6lrkkaq is not listed 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. Valerie Albouy & Laurent Davezies & Thierry Debrand, 2009. "Dynamic Estimation of Health Expenditure: A new approach for simulating individual expenditure," Working Papers DT20, IRDES institut for research and information in health economics, revised Jan 2009.
    2. Albouy, Valerie & Davezies, Laurent & Debrand, Thierry, 2010. "Health expenditure models: A comparison using panel data," Economic Modelling, Elsevier, vol. 27(4), pages 791-803, July.
    3. de Meijer, Claudine & Koopmanschap, Marc & d' Uva, Teresa Bago & van Doorslaer, Eddy, 2011. "Determinants of long-term care spending: Age, time to death or disability?," Journal of Health Economics, Elsevier, vol. 30(2), pages 425-438, March.
    4. S. P. Thi颡ut & T. Barnay & B. Ventelou, 2013. "Ageing, chronic conditions and the evolution of future drugs expenditure: a five-year micro-simulation from 2004 to 2029," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1663-1672, May.
    5. 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.
    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. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.
    8. Maciej Lis, 2015. "Red Herring in the Vistula River: Time-to-Death and Health Care Expenditure," IBS Working Papers 13/2015, Instytut Badan Strukturalnych.
    9. Galina Besstremyannaya, 2012. "Estimating income equity in social health insurance system," Working Papers w0172, New Economic School (NES).
    10. 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.
    11. Manos Matsaganis & Theodore Mitrakos & Panos Tsakloglou, 2008. "Modelling Household Expenditure on Health Care in Greece," Working Papers 68, Bank of Greece.
    12. 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.
    13. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    14. repec:dau:papers:123456789/7972 is not listed on IDEAS
    15. repec:ces:ifodic:v:11:y:2013:i:1:p:19078503 is not listed on IDEAS
    16. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    17. 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.
    18. Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963, September.
    19. Stefan Felder, 2013. "The Impact of Demographic Change on Healthcare Expenditure," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(01), pages 03-06, April.
    20. Karine Moschetti & Katia Iglesias & Stéphanie Baggio & Venetia Velonaki & Olivier Hugli & Bernard Burnand & Jean-Bernard Daeppen & Jean-Blaise Wasserfallen & Patrick Bodenmann, 2018. "Health care costs of case management for frequent users of the emergency department: Hospital and insurance perspectives," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    21. Simo Fotso, Arlette, 2017. "Child disability and siblings' healthcare expenditures in a context of child fostering," Social Science & Medicine, Elsevier, vol. 182(C), pages 89-96.
    22. Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.

    More about this item

    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:tep:teppwp:wp10-08. 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: Sylvain (email available below). General contact details of provider: https://edirc.repec.org/data/teppnfr.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.