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Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods

Author

Listed:
  • Mina Bahrampour

    (Griffith University)

  • Joshua Byrnes

    (Griffith University)

  • Richard Norman

    (Curtin University)

  • Paul A. Scuffham

    (Griffith University)

  • Martin Downes

    (Griffith University)

Abstract

Objectives In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. Methods Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. Results A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. Conclusion DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.

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  • Mina Bahrampour & Joshua Byrnes & Richard Norman & Paul A. Scuffham & Martin Downes, 2020. "Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 983-992, September.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:7:d:10.1007_s10198-020-01189-6
    DOI: 10.1007/s10198-020-01189-6
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 7th September 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-09-07 11:00:07

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    2. Roberto Aringhieri & Patrick Hirsch & Marion S. Rauner & Melanie Reuter-Oppermanns & Margit Sommersguter-Reichmann, 2022. "Central European journal of operations research (CJOR) “operations research applied to health services (ORAHS) in Europe: general trends and ORAHS 2020 conference in Vienna, Austria”," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 1-18, March.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    4. Brouwers, Jonas & Cox, Bianca & Van Wilder, Astrid & Claessens, Fien & Bruyneel, Luk & De Ridder, Dirk & Eeckloo, Kristof & Vanhaecht, Kris, 2021. "The future of hospital quality of care policy: A multi-stakeholder discrete choice experiment in Flanders, Belgium," Health Policy, Elsevier, vol. 125(12), pages 1565-1573.
    5. Zoltán Hermann & Márta Péntek & László Gulácsi & Irén Anna Kopcsóné Németh & Zsombor Zrubka, 2022. "Measuring the acceptability of EQ-5D-3L health states for different ages: a new adaptive survey methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1243-1255, September.
    6. Goswami, Mridu Prabal & Mitra, Manipushpak & Sen, Debapriya, 2018. "A characterization of lexicographic preferences," MPRA Paper 90552, University Library of Munich, Germany.

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    Keywords

    Discrete choice experiment; Conjoint analysis; Health state valuation; Preference-based measures; Utility; Systematic review;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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