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QALY‐maximisation and public preferences: results from a general population survey

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  • Stirling Bryan
  • Tracy Roberts
  • Chris Heginbotham
  • Alison McCallum

Abstract

The appropriate criteria that should be used in setting priorities in a publicly funded health care system remain open to debate. From a health economics perspective, quality‐adjusted life years (QALYs) are increasingly portrayed as a measure of societal value and the criterion of QALY maximisation is then advocated. This paper reports a study that investigated the extent to which some of the assumptions underlying the QALY maximisation approach, notably constant marginal societal value for increases in the size of health programmes, the level of risk, and the level of benefit are supported by members of the public. A general population interview‐based survey was conducted. The survey design employed conjoint methods. In general, the public preference data from this study, in themselves, are not much at odds with the core proportionality assumptions concerning societal value in the QALY maximisation model assumptions. The data are, however, at odds with reports from various previous studies. Copyright © 2002 John Wiley & Sons, Ltd.

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  • Stirling Bryan & Tracy Roberts & Chris Heginbotham & Alison McCallum, 2002. "QALY‐maximisation and public preferences: results from a general population survey," Health Economics, John Wiley & Sons, Ltd., vol. 11(8), pages 679-693, December.
    • Handle: RePEc:wly:hlthec:v:11:y:2002:i:8:p:679-693
    DOI: 10.1002/hec.695
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    Cited by:

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    2. Gold, Marthe Rachel & Franks, Peter & Siegelberg, Taryn & Sofaer, Shoshanna, 2007. "Does providing cost-effectiveness information change coverage priorities for citizens acting as social decision makers?," Health Policy, Elsevier, vol. 83(1), pages 65-72, September.
    3. Seda Erdem & Danny Campbell & Arne Risa Hole, 2015. "Accounting for Attribute‐Level Non‐Attendance in a Health Choice Experiment: Does it Matter?," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 773-789, July.
    4. 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.
    5. Jennifer Whitty & Emily Lancsar & Kylie Rixon & Xanthe Golenko & Julie Ratcliffe, 2014. "A Systematic Review of Stated Preference Studies Reporting Public Preferences for Healthcare Priority Setting," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(4), pages 365-386, December.
    6. Richard Norman & Gisselle Gallego, 2008. "Equity weights for economic evaluation: An Australian Discrete Choice Experiment, CHERE Working Paper 2008/5," Working Papers 2008/5, CHERE, University of Technology, Sydney.
    7. Gu, Yuanyuan & Lancsar, Emily & Ghijben, Peter & Butler, James RG & Donaldson, Cam, 2015. "Attributes and weights in health care priority setting: A systematic review of what counts and to what extent," Social Science & Medicine, Elsevier, vol. 146(C), pages 41-52.
    8. Kim Pauwels & Isabelle Huys & Minne Casteels & Yvonne Denier & Martina Vandebroek & Steven Simoens, 2019. "What Does Society Value About Cancer Medicines? A Discrete Choice Experiment in the Belgian Population," Applied Health Economics and Health Policy, Springer, vol. 17(6), pages 895-902, December.
    9. Mark Harrison & Dan Rigby & Caroline Vass & Terry Flynn & Jordan Louviere & Katherine Payne, 2014. "Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(2), pages 151-170, June.
    10. Donna Rowen & John Brazier & Anju Keetharuth & Aki Tsuchiya & Clara Mukuria, 2016. "Comparison of Modes of Administration and Alternative Formats for Eliciting Societal Preferences for Burden of Illness," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 89-104, February.
    11. Angela Robinson & Judith Covey & Anne Spencer & Graham Loomes, 2007. "Are Some Deaths Worse Than Others? Results from a Discrete Choice Experiment," Working Papers 597, Queen Mary University of London, School of Economics and Finance.
    12. Girard, Dorota Zdanowska, 2005. "The cost of epidemiological transition: A study of a decrease in pertussis vaccination coverage," Health Policy, Elsevier, vol. 74(3), pages 287-303, November.
    13. Schwappach, David L.B. & Strasmann, Thomas J., 2006. ""Quick and dirty numbers"?: The reliability of a stated-preference technique for the measurement of preferences for resource allocation," Journal of Health Economics, Elsevier, vol. 25(3), pages 432-448, May.
    14. Rachel Baker & John Wildman & Helen Mason & Cam Donaldson, 2014. "Q‐Ing For Health—A New Approach To Eliciting The Public'S Views On Health Care Resource Allocation," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 283-297, March.
    15. Tritter, Jonathan Quetzal & McCallum, Alison, 2006. "The snakes and ladders of user involvement: Moving beyond Arnstein," Health Policy, Elsevier, vol. 76(2), pages 156-168, April.

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