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The cost of frailty in France

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  • Nicolas Sirven

    (Université Paris Descartes, Sorbonne-Paris-Cité)

  • Thomas Rapp

    (Université Paris Descartes, Sorbonne-Paris-Cité)

Abstract

The objective of the present work is to explore the incremental costs of frailty associated with ambulatory health care expenditures (HCE) among the French population of community-dwellers aged 65 or more in 2012. We make use of a unique dataset that combines nationally representative health survey with respondents’ National Health Insurance data on ambulatory care expenditures. Several econometric specifications of generalized linear models are tested and an exponential model with gamma errors is eventually retained. Because frailty is a distinct health condition, its contribution to HCE was assessed in comparison with other health covariates (including chronic diseases and functional limitations, time-to-death, and a multidimensional composite health index). Results indicate that whatever health covariates are considered, frailty provides significant additional explanative power to the models. Frailty is an important omitted variable in HCE models. It depicts a progressive condition, which has an incremental effect on ambulatory health expenditures of roughly €750 additional euros for pre-frail individuals and €1500 for frail individuals.

Suggested Citation

  • Nicolas Sirven & Thomas Rapp, 2017. "The cost of frailty in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 243-253, March.
  • Handle: RePEc:spr:eujhec:v:18:y:2017:i:2:d:10.1007_s10198-016-0772-7
    DOI: 10.1007/s10198-016-0772-7
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    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. 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.
    3. Daryl Pregibon, 1980. "Goodness of Link Tests for Generalized Linear Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 15-24, March.
    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. 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.
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    1. Sicsic, Jonathan & Ravesteijn, Bastian & Rapp, Thomas, 2020. "Are frail elderly people in Europe high-need subjects? First evidence from the SPRINTT data," Health Policy, Elsevier, vol. 124(8), pages 865-872.
    2. Arrighi, Y. & Rapp, T. & Sirven, N., 2017. "The impact of economic conditions on the disablement process: A Markov transition approach using SHARE data," Health Policy, Elsevier, vol. 121(7), pages 778-785.
    3. Pablo GARCIA SANCHEZ & Luca MARCHIORI & Olivier PIERRARD, 2024. "On Optimal Subsidies for Prevention and Long-Term Care," LIDAM Discussion Papers IRES 2024008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    4. Giuseppe Liotta & Francesco Gilardi & Stefano Orlando & Gennaro Rocco & Maria Grazia Proietti & Federica Asta & Manuela De Sario & Paola Michelozzi & Sandro Mancinelli & Leonardo Palombi & Maria Crist, 2019. "Cost of hospital care for the older adults according to their level of frailty. A cohort study in the Lazio region, Italy," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
    5. Wee Shiong Lim & Sweet Fun Wong & Ian Leong & Philip Choo & Weng Sun Pang, 2017. "Forging a Frailty-Ready Healthcare System to Meet Population Ageing," IJERPH, MDPI, vol. 14(12), pages 1-16, November.
    6. Calciolari, Stefano & Luini, Cecilia, 2023. "Effects of the bio-psycho-social frailty dimensions on healthcare utilisation among elderly in Europe: A cross-country longitudinal analysis," Social Science & Medicine, Elsevier, vol. 339(C).
    7. Marianne Tenand & Pieter Bakx & Eddy van Doorslaer, 2020. "Eligibility or use? Disentangling the sources of horizontal inequity in home care receipt in the Netherlands," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1161-1179, October.
    8. Brettschneider, Christian & Hajek, Andre & Röhr, Susanne & Fuchs, Angela & Weeg, Dagmar & Mamone, Silke & Werle, Jochen & Heser, Kathrin & Mallon, Tina & Stein, Janine & Pentzek, Michael & Bickel, Hor, 2019. "Determinants of health-care costs in the oldest-old in Germany," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    9. Andrea Riganti, 2021. "Containing costs in the Italian local healthcare market," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1001-1014, May.
    10. Àngel Lavado & Júlia Serra-Colomer & Mateu Serra-Prat & Emili Burdoy & Mateu Cabré, 2023. "Relationship of frailty status with health resource use and healthcare costs in the population aged 65 and over in Catalonia," European Journal of Ageing, Springer, vol. 20(1), pages 1-10, December.
    11. Langevin, R.;, 2024. "Consistent Estimation of Finite Mixtures: An Application to Latent Group Panel Structures," Health, Econometrics and Data Group (HEDG) Working Papers 24/16, HEDG, c/o Department of Economics, University of York.

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    More about this item

    Keywords

    Health care expenditures; Functional disability; Frailty; Generalized linear models; Ambulatory care; Population aging;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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