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

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.

authors

Feig C,Cheung KL,Hiligsmann M,Evers SMAA,Simon J,Mayer S

doi

10.1080/14737167.2017.1375407

subject

Has Abstract

pub_date

2018-04-01 00:00:00

pages

223-232

issue

2

eissn

1473-7167

issn

1744-8379

journal_volume

18

pub_type

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