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Review

How can multi criteria decision analysis support value assessment of pharmaceuticals? - Findings from a systematic literature review

, &
Pages 379-391 | Received 30 Jun 2017, Accepted 18 Apr 2018, Published online: 29 Apr 2018
 

ABSTRACT

Introduction: As budget constraints become more and more visible, there is growing recognition for greater transparency and greater stakeholders’ engagement in the pharmaceuticals’ pric-ing&reimbursement (P&R) decision making. New frameworks of drugs’ value assessments are searched for. Among them, the multi-criteria decision analysis (MCDA) receives more and more attention. In 2014, ISPOR established Task Force to provide methodological recommendations for MCDA utilization in the health care decision making. Still, there is not so much knowledge about the real life experience with MCDA’s adaptation to the P&R processes.

Areas covered: A systematic literature review was performed to understand the rationale for MCDA adaptation, methodology used as well as its impact on P&R outcomes.

Expert commentary: In total 102 hits were found through the search of databases, out of which 18 publications were selected. Although limited in scope, the review highlighted how MCDA can im-prove the decision making processes not only regarding pricing & reimbursement but also contribute to the the risk benefit assessment as well as optimization of treatment outcomes. Still none of re-viewed studies did report how MCDA results actually impacted the real life settings.

Declaration of interest

The authors have no relevant affiliations or financial involvement with any organization or entity with financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This paper was not funded.

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