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Dataset Information

Identification of knowledge translation theories, models or frameworks suitable for health technology reassessment: a survey of international experts.


ABSTRACT:

Objective

Health technology reassessment (HTR) is a field focused on managing a technology throughout its life cycle for optimal use. The process results in one of four possible recommendations: increase use, decrease use, no change or complete withdrawal of the technology. However, implementation of these recommendations has been challenging. This paper explores knowledge translation (KT) theories, models and frameworks (TMFs) and their suitability for implementation of HTR recommendations.

Design

Cross-sectional survey.

Participants

Purposeful sampling of international KT and HTR experts was administered between January and March 2019.

Methods

Sixteen full-spectrum KT TMFs were rated by the experts as 'yes', 'partially yes' or 'no' on six criteria: familiarit

SUBMITTER: Esmail R 

PROVIDER: S-EPMC8220529 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature