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dc.contributor.authorMarsh, Kevin
dc.contributor.authorThokala, Praveen
dc.contributor.authorYoungkong, Sitaporn
dc.contributor.authorChalkidou, Kalipso
dc.date.accessioned2020-02-04T04:24:47Z
dc.date.available2020-02-04T04:24:47Z
dc.date.issued2018
dc.identifier.issn1478-7547
dc.identifier.doi10.1186/s12962-018-0125-8
dc.identifier.urihttp://hdl.handle.net/10072/391099
dc.description.abstractBackground: Multicriteria decision analysis (MCDA) has the potential to bring more structure and transparency to health technology assessment (HTA). The objective of this paper is to highlight key methodological and practical challenges facing the use of MCDA for HTA, with a particular focus on lower and middle-income countries (LMICs), and to highlight potential solutions to these challenges. Methodological challenges: Key lessons from existing applications of MCDA to HTA are summarized, including: that the socio-technical design of the MCDA reflect the local decision problem; the criteria set properties of additive models are understood and applied; and the alternative approaches for estimating opportunity cost, and the challenges with these approaches are understood. Practical challenges: Existing efforts to implement HTA in LMICs suggest a number of lessons that can help overcome the practical challenges facing the implementation of MCDA in LMICs, including: adapting inputs from other settings and from expert opinion; investing in technical capacity; embedding the MCDA in the decision-making process; and ensuring that the MCDA design reflects local cultural and social factors. Conclusion: MCDA has the potential to improve decision making in LMICs. For this potential to be achieved, it is important that the lessons from existing applications of MCDA are learned.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central
dc.publisher.placeUnited Kingdom
dc.relation.ispartofpagefrom43:1
dc.relation.ispartofpageto43:9
dc.relation.ispartofissueSuppl 1
dc.relation.ispartofjournalCost Effectiveness and Resource Allocation
dc.relation.ispartofvolume16
dc.subject.fieldofresearchApplied Economics
dc.subject.fieldofresearchcode1402
dc.subject.keywordsCOST-EFFECTIVENESS THRESHOLDS
dc.subject.keywordsPRACTICES TASK-FORCE
dc.subject.keywordsMULTIPLE CRITERIA
dc.subject.keywordsTHAILAND
dc.subject.keywordsCARE
dc.titleIncorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMarsh, K; Thokala, P; Youngkong, S; Chalkidou, K, Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings, Cost Effectiveness and Resource Allocation, 2018, 16 (Suppl 1), pp. 43:1-43:9
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2020-02-03T06:08:18Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creat iveco mmons .org/publi cdoma in/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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gro.griffith.authorChalkidou, Kalipso


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