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Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines

Author

Listed:
  • Matthew Kennedy-Martin

    (Kennedy Martin Health Outcomes Ltd)

  • Bernhard Slaap

    (Erasmus MC
    EuroQol Research Foundation)

  • Michael Herdman

    (Office of Health Economics (OHE))

  • Mandy Reenen

    (EuroQol Research Foundation)

  • Tessa Kennedy-Martin

    (Kennedy Martin Health Outcomes Ltd)

  • Wolfgang Greiner

    (Bielefeld University)

  • Jan Busschbach

    (Erasmus MC)

  • Kristina S. Boye

    (Eli Lilly and Company)

Abstract

Background Several multi-attribute utility instruments (MAUIs) are available from which utilities can be derived for use in cost-utility analysis (CUA). This study provides a review of recommendations from national health technology assessment (HTA) agencies regarding the choice of MAUIs. Methods A list was compiled of HTA agencies that provide or refer to published official pharmacoeconomic (PE) guidelines for pricing, reimbursement or market access. The guidelines were reviewed for recommendations on the indirect calculation of utilities and categorized as: a preference for a specific MAUI; providing no MAUI preference, but providing examples of suitable MAUIs and/or recommending the use of national value sets; and recommending CUA, but not providing examples of MAUIs. Results Thirty-four PE guidelines were included for review. MAUIs named for use in CUA: EQ-5D (n = 29 guidelines), the SF-6D (n = 11), HUI (n = 10), QWB (n = 3), AQoL (n = 2), CHU9D (n = 1). EQ-5D was a preferred MAUI in 15 guidelines. Alongside the EQ-5D, the HUI was a preferred MAUI in one guideline, with DALY disability weights mentioned in another. Fourteen guidelines expressed no preference for a specific MAUI, but provided examples: EQ-5D (n = 14), SF-6D (n = 11), HUI (n = 9), QWB (n = 3), AQoL (n = 2), CHU9D (n = 1). Of those that did not specify a particular MAUI, 12 preferred calculating utilities using national preference weights. Conclusions The EQ-5D, HUI, and SF-6D were the three MAUIs most frequently mentioned in guidelines. The most commonly cited MAUI (in 85% of PE guidelines) was EQ-5D, either as a preferred MAUI or as an example of a suitable MAUI for use in CUA in HTA.

Suggested Citation

  • Matthew Kennedy-Martin & Bernhard Slaap & Michael Herdman & Mandy Reenen & Tessa Kennedy-Martin & Wolfgang Greiner & Jan Busschbach & Kristina S. Boye, 2020. "Which multi-attribute utility instruments are recommended for use in cost-utility analysis? A review of national health technology assessment (HTA) guidelines," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1245-1257, November.
  • Handle: RePEc:spr:eujhec:v:21:y:2020:i:8:d:10.1007_s10198-020-01195-8
    DOI: 10.1007/s10198-020-01195-8
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    References listed on IDEAS

    as
    1. Nancy J. Devlin & Richard Brooks, 2017. "EQ-5D and the EuroQol Group: Past, Present and Future," Applied Health Economics and Health Policy, Springer, vol. 15(2), pages 127-137, April.
    2. SeungJin Bae & SooOk Lee & Eun Bae & Sunmee Jang, 2013. "Korean Guidelines for Pharmacoeconomic Evaluation (Second and Updated Version)," PharmacoEconomics, Springer, vol. 31(4), pages 257-267, April.
    3. Zoltán Kaló & Adrian Gheorghe & Mirjana Huic & Marcell Csanádi & Finn Boerlum Kristensen, 2016. "HTA Implementation Roadmap in Central and Eastern European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 25(S1), pages 179-192, February.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 26th October 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-10-26 12:00:03

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    Cited by:

    1. 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.
    2. Jen-Yu Amy Chang & Chien-Ning Hsu & Juan Manuel Ramos-Goñi & Nan Luo & Hsiang-Wen Lin & Fang-Ju Lin, 2024. "Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 1041-1055, August.
    3. Michał Jakubczyk & Michał Lewandowski, 2024. "How sure are you? — the properties of self-reported conviction in the elicitation of health preferences with discrete choice experiments," Theory and Decision, Springer, vol. 96(3), pages 351-368, May.
    4. Michał Jakubczyk, 2023. "What if 0 is not equal to 0? Inter-personal health utilities anchoring using the largest health gains," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1217-1233, September.
    5. Mathieu F. Janssen & A. Simon Pickard & James W. Shaw, 2021. "General population normative data for the EQ-5D-3L in the five largest European economies," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1467-1475, December.
    6. Richard Huan Xu & Eliza Lai-yi Wong & Nan Luo & Richard Norman & Jens Lehmann & Bernhard Holzner & Madeleine T. King & Georg Kemmler, 2024. "The EORTC QLU-C10D: the Hong Kong valuation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(5), pages 889-901, July.
    7. Richard Huan Xu & Nan Luo & Dong Dong, 2024. "Measurement properties of the EQ-5D-3L, EQ-5D-5L, and SF-6Dv2 in patients with late-onset Pompe disease," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(9), pages 1505-1515, December.
    8. Asrul Akmal Shafie & Annushiah Vasan Thakumar, 2020. "Multiplicative modelling of EQ-5D-3L TTO and VAS values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1411-1420, December.
    9. Kamilla Koszorú & Krisztina Hajdu & Valentin Brodszky & Alex Bató & L. Hunor Gergely & Anikó Kovács & Zsuzsanna Beretzky & Miklós Sárdy & Andrea Szegedi & Fanni Rencz, 2023. "Comparing the psychometric properties of the EQ-5D-3L and EQ-5D-5L descriptive systems and utilities in atopic dermatitis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(1), pages 139-152, February.
    10. Michał Jakubczyk, 2023. "Re-revisiting the Utilities of Health States Worse than Dead: The Problem Remains," Medical Decision Making, , vol. 43(7-8), pages 875-885, October.
    11. Michela Meregaglia & Elena Nicod & Michael Drummond, 2023. "The estimation of health state utility values in rare diseases: do the approaches in submissions for NICE technology appraisals reflect the existing literature? A scoping review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1151-1216, September.
    12. Suzi Claflin & Julie A. Campbell & Richard Norman & Deborah F. Mason & Tomas Kalincik & Steve Simpson-Yap & Helmut Butzkueven & William M. Carroll & Andrew J. Palmer & C. Leigh Blizzard & Ingrid van d, 2023. "Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 939-950, August.
    13. Elliott, Jack & Tsuchiya, Aki, 2022. "Do they just know more, or do they also have different preferences? An exploratory analysis of the effects of self-reporting serious health problems on health state valuation," Social Science & Medicine, Elsevier, vol. 315(C).
    14. Aimin Wang & Kim Rand & Zhihao Yang & Richard Brooks & Jan Busschbach, 2022. "The remarkably frequent use of EQ-5D in non-economic research," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1007-1014, August.
    15. S. A. Lipman & V. T. Reckers-Droog & M. Karimi & M. Jakubczyk & A. E. Attema, 2021. "Self vs. other, child vs. adult. An experimental comparison of valuation perspectives for valuation of EQ-5D-Y-3L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1507-1518, December.
    16. Jiajun Yan & Shitong Xie & Jeffrey A. Johnson & Eleanor Pullenayegum & Arto Ohinmaa & Stirling Bryan & Feng Xie, 2024. "Canada population norms for the EQ-5D-5L," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 147-155, February.
    17. Peasgood, Tessa & Bourke, Mackenzie & Devlin, Nancy & Rowen, Donna & Yang, Yaling & Dalziel, Kim, 2023. "Randomised comparison of online interviews versus face-to-face interviews to value health states," Social Science & Medicine, Elsevier, vol. 323(C).
    18. Guizhi Weng & Yanming Hong & Nan Luo & Clara Mukuria & Jie Jiang & Zhihao Yang & Sha Li, 2023. "Comparing EQ-5D-3L and EQ-5D-5L in measuring the HRQoL burden of 4 health conditions in China," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(2), pages 197-207, March.

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    More about this item

    Keywords

    Health technology assessment; Cost-utility analysis; Multi-attribute utility instruments; Pharmacoeconomics; Guidelines; Utility;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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