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Decision-Makers’ Preferences for Approving New Medicines in Wales: A Discrete-Choice Experiment with Assessment of External Validity

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  • Warren Linley
  • Dyfrig Hughes

Abstract

A willingness to trade the cost effectiveness and QALY gains against other factors indicates that economic efficiency and QALY maximisation are not the only considerations of committee members when making recommendations on the use of medicines in Wales. On average, appraisal committee members’ stated preferences appear consistent with their actual decision-making behaviours, providing support for the external validity of our DCEs. However, as health technology assessment involves complex decision-making processes, and each individual recommendation may be influenced to varying degrees by a multitude of different considerations, the ability of our models to predict individual medicine recommendations is more limited. Copyright Springer International Publishing Switzerland 2013

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  • Warren Linley & Dyfrig Hughes, 2013. "Decision-Makers’ Preferences for Approving New Medicines in Wales: A Discrete-Choice Experiment with Assessment of External Validity," PharmacoEconomics, Springer, vol. 31(4), pages 345-355, April.
    • Handle: RePEc:spr:pharme:v:31:y:2013:i:4:p:345-355
    DOI: 10.1007/s40273-013-0030-0
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    References listed on IDEAS

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    1. Nancy Devlin & David Parkin, 2004. "Does NICE have a cost‐effectiveness threshold and what other factors influence its decisions? A binary choice analysis," Health Economics, John Wiley & Sons, Ltd., vol. 13(5), pages 437-452, May.
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    1. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Sydenham, Rikke Vognbjerg & Jarbøl, Dorte Ejg & Hansen, Malene Plejdrup & Justesen, Ulrik Stenz & Watson, Verity & Pedersen, Line Bjørnskov, 2022. "Prescribing antibiotics: Factors driving decision-making in general practice. A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 305(C).
    4. Matthew Quaife & Fern Terris-Prestholt & Gian Luca Di Tanna & Peter Vickerman, 2018. "How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1053-1066, November.
    5. Wranik, Wiesława Dominika & Gambold, Liesl & Peacock, Stuart, 2021. "Uncertainty tolerance among experts involved in drug reimbursement recommendations: Qualitative evidence from HTA committees in Canada and Poland," Health Policy, Elsevier, vol. 125(3), pages 307-319.
    6. Wranik, Wiesława Dominika & Zielińska, Dorota Anna & Gambold, Liesl & Sevgur, Serperi, 2019. "Threats to the value of Health Technology Assessment: Qualitative evidence from Canada and Poland," Health Policy, Elsevier, vol. 123(2), pages 191-202.
    7. Franken, Margreet & Stolk, Elly & Scharringhausen, Tessa & de Boer, Anthonius & Koopmanschap, Marc, 2015. "A comparative study of the role of disease severity in drug reimbursement decision making in four European countries," Health Policy, Elsevier, vol. 119(2), pages 195-202.
    8. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.

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