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

Oliveira, Mónica D., Mataloto, Inês and Kanavos, Panos ORCID: 0000-0001-9518-3089 (2019) Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art. European Journal of Health Economics, 20 (6). pp. 891-918. ISSN 1618-7598

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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 (< 25% complying studies) was found regarding behavioural analyses, discussion of model assumptions and uncertainties, modelling of value functions, and dealing with judgment inconsistencies. The five most reported challenges related to evidence and data synthesis; value system differences and participant selection issues; participant difficulties; methodological complexity and resource balance; and criteria and attributes modelling. A critical discussion on ways to address these challenges ensues. Discussion: Results highlight the need for advancement in robust methodologies, procedures and tools to improve methodological quality of MCDA in HTA studies. Research pathways include developing new model features, good practice guidelines, technologies to enable participation and behavioural research.

Item Type:	Article
Additional Information:	© 2019 The Authors
Divisions:	Health Policy
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
JEL classification:	I - Health, Education, and Welfare > I1 - Health > I10 - General I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy; Regulation; Public Health C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C44 - Statistical Decision Theory; Operations Research D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D80 - General
Date Deposited:	09 May 2019 08:30
Last Modified:	12 Dec 2024 01:45
URI:	http://eprints.lse.ac.uk/id/eprint/100763

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