Comparison of weighting methods used in multicriteria decision analysis frameworks in healthcare with focus on low-and middle-income countries

Bertalan Németh, Anett Molnár, Sándor Bozóki, Kalman Wijaya, András Inotai, Jonathan D. Campbell, Zoltán Kaló

Research output: Contribution to journalReview article

6 Citations (Scopus)

Abstract

Aim: Criteria weighting is a key element of multicriteria decision analysis that is becoming extensively used in healthcare decision-making. In our narrative review we describe the advantages and disadvantages of various weighting methods. Methods: An assessment of the eight identified primary criteria weighting methods was compiled on domains including their resource requirements, and potential for bias. Results: In general, we found more complex methods to have less potential for bias; however, resource intensity and general participant burden is greater for these methods. Conclusion: The selection of the most appropriate method depends on the decision-making context. The simple multiattribute rating technique (SMART) method combined with swing-weighting technique and the analytic hierarchy process methods may be the most feasible approaches for low-and middle-income countries.

Original languageEnglish
Pages (from-to)195-204
Number of pages10
JournalJournal of Comparative Effectiveness Research
Volume8
Issue number4
DOIs
Publication statusPublished - Mar 2019

Keywords

  • MCDA
  • criteria weighting methods
  • low-and middle-income countries

ASJC Scopus subject areas

  • Health Policy

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