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Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources

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  • Krucien, Nicolas
  • Heidenreich, Sebastian
  • Gafni, Amiram
  • Pelletier-Fleury, Nathalie

Abstract

When deciding which new programme to implement and where the additional resources, if needed, will come from, the decision makers need to accommodate the uncertainty of the potential changes in population health and medical expenditures that can occur. They also need to determine the value of these potential changes. The objective of this study is to identify a public valuation function measuring how the public values changes in population health and medical expenditures when healthcare resources are re-allocated. We report the results of a choice experiment conducted in March 2016 in a representative sample of the population living in France (N = 1008). The main results indicate that the public is more sensitive to changes in population health than changes in the level of medical expenditures. There is a non-linear valuation of these changes with evidence of asymmetric preferences and non-constant marginal sensitivity. The public gives 1.4 times more weight to decrease in population health than for the same-size increase. The public becomes less sensitive to marginal changes in population health as the level of changes increases. In a simulation study of 5000 resource allocation decisions, we show that non-linearities in public valuation of population health and medical expenditures matters. The linear and non-linear public valuation functions were associated with respectively 50.1% and 28.1% of situations of acceptable outcome of the reallocation of resources. The level of agreement between these two functions was moderate with a Kappa coefficient of 0.56, and the probability of agreement was mainly driven by the distribution of net changes in population health. This study provides a method and an estimation of a public valuation function that describes the preferences (or values attributed) for every potential outcome stemming from the reallocation of healthcare resources. The results show the importance of measuring such function rather than assuming one.

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  • Krucien, Nicolas & Heidenreich, Sebastian & Gafni, Amiram & Pelletier-Fleury, Nathalie, 2020. "Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources," Social Science & Medicine, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:socmed:v:246:y:2020:i:c:s0277953619307701
    DOI: 10.1016/j.socscimed.2019.112775
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    1. Torres, Cati & Hanley, Nick & Riera, Antoni, 2011. "How wrong can you be? Implications of incorrect utility function specification for welfare measurement in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 111-121, July.
    2. Scott J. Savage & Donald M. Waldman, 2008. "Learning and fatigue during choice experiments: a comparison of online and mail survey modes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 351-371.
    3. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    4. Carlsson, Fredrik & Kataria, Mitesh & Krupnick, Alan & Lampi, Elina & Löfgren, Åsa & Qin, Ping & Sterner, Thomas, 2013. "The truth, the whole truth, and nothing but the truth—A multiple country test of an oath script," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 105-121.
    5. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    6. Birch, Stephen & Gafni, Amiram, 1992. "Cost effectiveness/utility analyses : Do current decision rules lead us to where we want to be?," Journal of Health Economics, Elsevier, vol. 11(3), pages 279-296, October.
    7. de-Magistris, Tiziana & Pascucci, Stefano, 2014. "The effect of the solemn oath script in hypothetical choice experiment survey: A pilot study," Economics Letters, Elsevier, vol. 123(2), pages 252-255.
    8. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Colin Green & Karen Gerard, 2009. "Exploring the social value of health‐care interventions: a stated preference discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 951-976, August.
    12. Gafni, Amiram & Birch, Stephen, 1997. "QALYs and HYEs Spotting the differences," Journal of Health Economics, Elsevier, vol. 16(5), pages 601-608, October.
    13. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    14. Weinstein, Milton & Zeckhauser, Richard, 1973. "Critical ratios and efficient allocation," Journal of Public Economics, Elsevier, vol. 2(2), pages 147-157, April.
    15. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    16. P. Sendi & A. Gafni & S. Birch, 2002. "Opportunity costs and uncertainty in the economic evaluation of health care interventions," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-31, January.
    17. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.
    18. Amiram Gafni & Stephen Walter & Stephen Birch, 2013. "Uncertainty And The Decision Maker: Assessing And Managing The Risk Of Undesirable Outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1287-1294, November.
    19. Chris Skedgel & Allan Wailoo & Ron Akehurst, 2015. "Societal Preferences for Distributive Justice in the Allocation of Health Care Resources," Medical Decision Making, , vol. 35(1), pages 94-105, January.
    20. Abraham Mehrez & Amiram Gafni, 1989. "Quality-adjusted Life Years, Utility Theory, and Healthy-years Equivalents," Medical Decision Making, , vol. 9(2), pages 142-149, June.
    21. John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, April.
    22. Gafni, Amiram & Birch, Stephen, 2006. "Incremental cost-effectiveness ratios (ICERs): The silence of the lambda," Social Science & Medicine, Elsevier, vol. 62(9), pages 2091-2100, May.
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