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  • The value assessment criteria of orphan drugs in medical insurance access: a qualitative systematic analysis

    ObjectivesTo provide a useful framework for improved understanding of international value drivers in the decision-making process of medical insurance access, and to explore the value assessment criteria of orphan drugs from stakeholders’ perspective.MethodsPubMed, EMbase, CINAHL Plus, ProQuest, Web of Science, CNKI and WanFang Data databases were electronically searched to collect studies from January 1st, 1983 to December 31st, 2018. Research questions were constructed based on SPIDER model. We established the inclusion and exclusion criteria to filter studies. Study quality was evaluated using the Critical Appraisal Skills Programme (CASP) checklist. A thematic synthesis was undertaken to develop descriptive themes, analytical constructs and third-level themes of value drivers by NVivo 11 software, and confidence in the findings was assessed using the CERQual method.ResultsA total of 10 studies including 20 research countries were included. Fifty descriptive themes were interpreted and embedded within 14 analytical constructs and 3 third-level themes after induction. Specifically, 3 broad themes were disease-related influence factors, which included severity, unmet requirements, disease burden, affected individuals, and moral and ethical considerations; drug-related influence factors, which included safety, efficacy, economics, innovation, quality of evidence; and some external and non-pharmaceutical intrinsic properties factors, which included reimbursement status in other countries or regions, government goals and priorities, confirmed drug supply and impact on environment.ConclusionsIn addition to conventional considerations such as efficacy and pharmacoeconomics, stakeholders are willing to take a broader perspective when in the case of the value assessment of orphan drugs. Comprehensive understanding of these value drivers is important to shape policy and enhance decision-making.

    Release date:2019-12-19 11:19 Export PDF Favorites Scan
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