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Weighting and valuing quality-adjusted life-years using stated preference methods: preliminary results from the Social Value of a QALY Project

Author

Listed:
  • Odejar, Maria
  • Baker, Rachel
  • Ryan, Mandy
  • Donalson, Cam
  • Bateman, Ian J.
  • Jones-Lee, M
  • Lancsar, Emily
  • Mason, Helen
  • Pinto Paredes, JL
  • Robinson, A
  • Shackley, P
  • Smith, R
  • Sugdem, R
  • Wildman, John

Abstract

To identify characteristics of beneficiaries of health care over which relative weights shobe derived and to estimate relative weights to be attached to health gains according to characteristics of recipients of these gains (relativities study); and to assess the feasibility of estimating a willingness-to- pay (WTP)-based value of a quality-adjusted life-year (QALY) (valuation study) an interview-based survey was administered – one (for the relativities study) to a nationally representative sample of the population in England and the other (for the valuation study) to a smaller convenience sample. The two surveys were administered by the National Centre for Social Research (NatCen) in respondents’ homes. Discrete choice results showed that age and severity variables did not have a strong impact on respondents’ choices over and above the health (QALY) gains presented. In contrast, matching showed age and severity impacts to be strong: depending on method of aggregation, gains to some groups were weighted three to four times more highly than gains to others. Results from the WTP and SG questions were combined in different ways to arrive at values of a QALY. These vary from values which are in the vicinity of the current National Institute for Health and Clinical Excellence (NICE) threshold to extremely high values. With respect to relative weights, more research is required to explore methodological differences with respect to age and severity weighting. On valuation, there are particular issues concerning the extent to which ‘noise’ and ‘error’ in people’s responses might generate extreme and unreliable figures. Methods of aggregation and measures of central tendency were issues in both weighting and valuation procedures and require further exploration.

Suggested Citation

  • Odejar, Maria & Baker, Rachel & Ryan, Mandy & Donalson, Cam & Bateman, Ian J. & Jones-Lee, M & Lancsar, Emily & Mason, Helen & Pinto Paredes, JL & Robinson, A & Shackley, P & Smith, R & Sugdem, R & Wi, 2010. "Weighting and valuing quality-adjusted life-years using stated preference methods: preliminary results from the Social Value of a QALY Project," MPRA Paper 108869, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:108869
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    References listed on IDEAS

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    Cited by:

    1. Cam Donaldson & Helen Mason & Phil Shackley, 2012. "Contingent Valuation in Health Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 40, Edward Elgar Publishing.
    2. Mason, Helen & van Exel, Job & Baker, Rachel & Brouwer, Werner & Donaldson, Cam, 2016. "From representing views to representativeness of views: Illustrating a new (Q2S) approach in the context of health care priority setting in nine European countries," Social Science & Medicine, Elsevier, vol. 166(C), pages 205-213.
    3. Ryen, Linda & Svensson, Mikael, 2014. "The Willingness to Pay for a QALY: a Review of the Empirical Literature," Karlstad University Working Papers in Economics 12, Karlstad University, Department of Economics.
    4. Lancsar, Emily & Gu, Yuanyuan & Gyrd-Hansen, Dorte & Butler, Jim & Ratcliffe, Julie & Bulfone, Liliana & Donaldson, Cam, 2020. "The relative value of different QALY types," Journal of Health Economics, Elsevier, vol. 70(C).
    5. Hansen, Lise Desireé & Kjær, Trine, 2019. "Disentangling public preferences for health gains at end-of-life: Further evidence of no support of an end-of-life premium," Social Science & Medicine, Elsevier, vol. 236(C), pages 1-1.
    6. Caroline Vass & Dan Rigby & Katherine Payne, 2017. "The Role of Qualitative Research Methods in Discrete Choice Experiments," Medical Decision Making, , vol. 37(3), pages 298-313, April.
    7. S. Olofsson & U.-G. Gerdtham & L. Hultkrantz & U. Persson, 2019. "Value of a QALY and VSI estimated with the chained approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 1063-1077, September.
    8. Sebastian Himmler & Job Exel & Werner Brouwer, 2020. "Estimating the monetary value of health and capability well-being applying the well-being valuation approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1235-1244, November.
    9. Al-Janabi, Hareth & Wittenberg, Eve & Donaldson, Cam & Brouwer, Werner, 2022. "The relative value of carer and patient quality of life: A person trade-off (PTO) study," Social Science & Medicine, Elsevier, vol. 292(C).
    10. Bae, Eun-Young & Lim, Min Kyoung & Lee, Boram & Bae, Green & Hong, Jihyung, 2023. "Public preferences in healthcare resource allocation: A discrete choice experiment in South Korea," Health Policy, Elsevier, vol. 138(C).
    11. Linda Ryen & Mikael Svensson, 2015. "The Willingness to Pay for a Quality Adjusted Life Year: A Review of the Empirical Literature," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1289-1301, October.
    12. Christian R. C. Kouakou & Thomas G. Poder, 2022. "Willingness to pay for a quality-adjusted life year: a systematic review with meta-regression," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 277-299, March.
    13. Shah, Koonal K. & Tsuchiya, Aki & Wailoo, Allan J., 2018. "Valuing health at the end of life: A review of stated preference studies in the social sciences literature," Social Science & Medicine, Elsevier, vol. 204(C), pages 39-50.
    14. Kinghorn, Philip & Afentou, Nafsika, 2021. "Eliciting a monetary threshold for a year of sufficient capability to inform resource allocation decisions in public health and social care," Social Science & Medicine, Elsevier, vol. 279(C).
    15. Simon McNamara & John Holmes & Abigail K. Stevely & Aki Tsuchiya, 2020. "How averse are the UK general public to inequalities in health between socioeconomic groups? A systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 275-285, March.

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    More about this item

    Keywords

    DISCRETE-CHOICE; MATCHING; QUALITY-ADJUSTED-LIFE-YEAR; RELATIVITIES; VALUATION; WILLINGNESS-TO-PAY;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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