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The Value of Thinly Spread QALYs

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  • Duncan Mortimer

Abstract

A number of recent findings from the literature imply that the value of a QALY varies depending on the concentration or dispersion of that QALY over treated individuals. Given that funding decisions are currently made under either the assumption of distributive-neutrality or some combination of explicit decision criteria and implicit adjustment for distributional concerns, it is likely that substantial social welfare gains are available if distributional objectives could be more accurately reflected in funding decisions. This paper considers three alternative approaches to explicitly adjust for distributional concerns with regard to the concentration or dispersion of individual health gains. Including non-health arguments in the objective function by #x2018;weighting’ QALYs for distributional effects or imposing differential funding thresholds for interventions with different distributional effects might be considered first- and second-best solutions, and would likely deliver the greatest social welfare gains. However, there is some doubt that first- or second-best solutions would be: (i) feasible given current data gaps; and (ii) politically acceptable. Rather, a simple and transparent approach is suggested wherein the sponsors of interventions that deliver health gains that are of questionable ‘welfare-significance’ for the treated individual would be required to provide decision-makers with an estimate of willingness to pay for the QALYs in question and would only be eligible for funding in the event that the positive net present value criterion is met. Copyright Adis Data Information BV 2006

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  • Duncan Mortimer, 2006. "The Value of Thinly Spread QALYs," PharmacoEconomics, Springer, vol. 24(9), pages 845-853, September.
  • Handle: RePEc:spr:pharme:v:24:y:2006:i:9:p:845-853
    DOI: 10.2165/00019053-200624090-00003
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    2. 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.
    3. Tracy Lieu & Ismael Ortega-Sanchez & G. Ray & Donna Rusinak & W. Yih & Peter Choo & Irene Shui & Ken Kleinman & Rafael Harpaz & Lisa Prosser, 2008. "Community and Patient Values for Preventing Herpes Zoster," PharmacoEconomics, Springer, vol. 26(3), pages 235-249, March.
    4. Scott Metcalfe & Rachel Grocott & Dilky Rasiah, 2014. "Comment on “Ahead of Its Time? Reflecting on New Zealand’s Pharmac Following its 20th Anniversary”," PharmacoEconomics, Springer, vol. 32(10), pages 1031-1033, October.
    5. Dukhanin, Vadim & Searle, Alexandra & Zwerling, Alice & Dowdy, David W. & Taylor, Holly A. & Merritt, Maria W., 2018. "Integrating social justice concerns into economic evaluation for healthcare and public health: A systematic review," Social Science & Medicine, Elsevier, vol. 198(C), pages 27-35.

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