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Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art

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  • Mónica D. Oliveira

    (Universidade de Lisboa)

  • Inês Mataloto

    (Universidade de Lisboa)

  • Panos Kanavos

    (LSE Health London School of Economics and Political Science)

Abstract

Background Multi-criteria decision analysis (MCDA) concepts, models and tools have been used increasingly in health technology assessment (HTA), with several studies pointing out practical and theoretical issues related to its use. This study provides a critical review of published studies on MCDA in the context of HTA by assessing their methodological quality and summarising methodological challenges. Methods A systematic review was conducted to identify studies discussing, developing or reviewing the use of MCDA in HTA using aggregation approaches. Studies were classified according to publication time and type, country of study, technology type and study type. The PROACTIVE-S approach was constructed and used to analyse methodological quality. Challenges and limitations reported in eligible studies were collected and summarised; this was followed by a critical discussion on research requirements to address the identified challenges. Results 129 journal articles were eligible for review, 56% of which were published in 2015–2017; 42% focused on pharmaceuticals; 36, 26 and 18% reported model applications, issues regarding MCDA implementation analyses, and proposing frameworks, respectively. Poor compliance with good methodological practice (

Suggested Citation

  • Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    • Handle: RePEc:spr:eujhec:v:20:y:2019:i:6:d:10.1007_s10198-019-01052-3
    DOI: 10.1007/s10198-019-01052-3
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    7. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Vieira, Ana C.L. & Freitas, Liliana & Rodrigues, Teresa C. & Bana e Costa, João & Freitas, Ângela & Santana, Paula, 2023. "Collaborative development of composite indices from qualitative value judgements: The EURO-HEALTHY Population Health Index model," European Journal of Operational Research, Elsevier, vol. 305(1), pages 475-492.
    8. Elisa F. Long & Gilberto Montibeller & Jun Zhuang, 2022. "Health Decision Analysis: Evolution, Trends, and Emerging Topics," Decision Analysis, INFORMS, vol. 19(4), pages 255-264, December.
    9. Aris Angelis & Huseyin Naci & Allan Hackshaw, 2020. "Recalibrating Health Technology Assessment Methods for Cell and Gene Therapies," PharmacoEconomics, Springer, vol. 38(12), pages 1297-1308, December.

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    More about this item

    Keywords

    Multi-criteria decision analysis; Health technology assessment; Systematic review; Methodological quality; Methodological challenges; MCDA modelling;
    All these keywords.

    JEL classification:

    • I - Health, Education, and Welfare
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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