Literature DB >> 28862060

Best-worst scaling to assess the most important barriers and facilitators for the use of health technology assessment in Austria.

Chiara Feig1,2, Kei Long Cheung1,3,2, Mickaël Hiligsmann1, Silvia M A A Evers1,4, Judit Simon2,5, Susanne Mayer2.   

Abstract

BACKGROUND: Although Health Technology Assessment (HTA) is increasingly used to support evidence-based decision-making in health care, several barriers and facilitators for the use of HTA have been identified. This best-worst scaling (BWS) study aims to assess the relative importance of selected barriers and facilitators of the uptake of HTA studies in Austria.
METHODS: A BWS object case survey was conducted among 37 experts in Austria to assess the relative importance of HTA barriers and facilitators. Hierarchical Bayes estimation was applied, with the best-worst count analysis as sensitivity analysis. Subgroup analyses were also performed on professional role and HTA experience.
RESULTS: The most important barriers were 'lack of transparency in the decision-making process', 'fragmentation', 'absence of appropriate incentives', 'no explicit framework for decision-making process', and 'insufficient legal support'. The most important facilitators were 'transparency in the decision-making process', 'availability of relevant HTA research for policy makers', 'availability of explicit framework for decision-making process', 'sufficient legal support', and 'appropriate incentives'.
CONCLUSION: This study suggests that HTA barriers and facilitators related to the context of decision makers, especially 'policy characteristics' and 'organization and resources' are the most important in Austria. A transparent and participatory decision-making process could improve the adoption of HTA evidence.

Entities:  

Keywords:  Health technology assessment; barriers; best-worst scaling; decision-making; facilitators; stakeholders

Mesh:

Year:  2017        PMID: 28862060     DOI: 10.1080/14737167.2017.1375407

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  2 in total

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Authors:  Susanne Mayer
Journal:  Wien Klin Wochenschr       Date:  2018-11       Impact factor: 1.704

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Journal:  Foods       Date:  2021-12-29
  2 in total

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