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Assessing the Preferences for Criteria in Multi-Criteria Decision Analysis in Treatments for Rare Diseases

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Specialty Public Health
Date 2020 May 28
PMID 32457865
Citations 9
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Abstract

Increasingly, multi-criteria decision analysis has gained importance as a method by which to assess the value of orphan drugs. However, very little attention has been given to the weight (relative preferences) of the individual criteria used in a framework. This study sought to gain an understanding of the preferential weights that should be allocated in a multi-criteria decision analysis framework for orphan drugs, from a multi-stakeholder perspective. Using key MCDA criteria for orphan drugs reported in the literature, we developed an interactive web-based survey tool to capture preferences for different criteria from a general stakeholder sample who were requested to assign weights from a reimbursement perspective. Each criterion could be assigned a weight on a sliding scale from 0 to 100% as long as the sum of all the criteria was 100%. We subsequently used the interactive tool with an expert focus group, followed up with a group discussion regarding each criterion and their perspectives on the weight that each criterion should be allocated when assessing an orphan drug. The expert focus group participants were then able to adjust their weights, if the group discussion had changed their perspectives. The interactive tool was completed by 120 general stakeholder sample from a wide range of countries and professional backgrounds and an expert focus group of ten members. The results showed the differences in perspectives on the importance of criteria. Both groups considered to be the most important criterion. The general stakeholder sample weighted at 12.03% compared to the expert focus group's average of 20%. The results also demonstrated the value of the group discussion, which provided additional insights into the perspectives on the importance of criteria in assessing orphan drugs. This study aimed to contribute to the important aspect of preferences for different criteria in MCDA. This study sheds light on the important aspect of the preferences of the different criteria. All respondents agreed on the relative importance of and , criteria that are captured in conventional cost-effectiveness studies, but they also expressed the view that in addition to those, several disease-related and drug-related criteria should be included in MCDA frameworks for assessing orphan drugs.

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References
1.
Campillo-Artero C, Puig-Junoy J, Culyer A . Does MCDA Trump CEA?. Appl Health Econ Health Policy. 2018; 16(2):147-151. DOI: 10.1007/s40258-018-0373-y. View

2.
Friedmann C, Levy P, Hensel P, Hiligsmann M . Using multi-criteria decision analysis to appraise orphan drugs: a systematic review. Expert Rev Pharmacoecon Outcomes Res. 2017; 18(2):135-146. DOI: 10.1080/14737167.2018.1414603. View

3.
Simoens S . Health technologies for rare diseases: does conventional HTA still apply?. Expert Rev Pharmacoecon Outcomes Res. 2014; 14(3):315-7. DOI: 10.1586/14737167.2014.906903. View

4.
Oliveira M, Mataloto I, Kanavos P . Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art. Eur J Health Econ. 2019; 20(6):891-918. PMC: 6652169. DOI: 10.1007/s10198-019-01052-3. View

5.
Fedyaeva V, Omelyanovsky V, Rebrova O, Khan N, Petrovskaya E . Mcda Approach To Ranking Rare Diseases In Russia: Preliminary Results. Value Health. 2016; 17(7):A539. DOI: 10.1016/j.jval.2014.08.1729. View