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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: familiarity, logical consistency/plausibility, degree of specificity, accessibility, ease of use and HTR suitability. Consensus was determined as a rating of ≥70% responding 'yes'. Descriptive statistics and manifest content analysis were conducted on open-ended comments., Results: Eleven HTR and 11 KT experts from Canada, USA, UK, Australia, Germany, Spain, Italy and Sweden participated. Of the 16 KT TMFs, none received ≥70% rating. When ratings of 'yes' and 'partially yes' were combined, the Consolidated Framework for Implementation Research was considered the most suitable KT TMF by both KT and HTR experts (86%). One additional KT TMF was selected by KT experts: Knowledge to Action framework. HTR experts selected two additional KT TMFs: Co-KT framework and Plan-Do-Study-Act cycle. Experts identified three key characteristics of a KT TMF that may be important to consider: practicality, guidance on implementation and KT TMF adaptability., Conclusions: Despite not reaching an overall ≥70% rating on any of the KT TMFs, experts identified four KT TMFs suitable for HTR. Users may apply these KT TMFs in the implementation of HTR recommendations. In addition, KT TMF characteristics relevant to the field of HTR need to be explored further., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Health Technology Reassessment (HTR) is a process that systematically assesses technologies that are currently used in the health care system. The process results in four outputs: increase use or decrease use, no change, or de-adoption of a technology. Implementation of these outputs remains a challenge. The Knowledge Translation (KT) field enables to transfer/translate knowledge into practice. KT could help with implementation of HTR outputs. This study sought to identify which characteristics of KT theories, models, and frameworks could be useful, specifically for decreased use or de-adoption of a technology., Methods: A qualitative descriptive approach was used to ascertain the perspectives of international KT and HTR experts on the characteristics of KT theories, models, and frameworks for decreased use or de-adoption of a technology. One-to-one semi-structured interviews were conducted from September to December 2019. Interviews were audio recorded and transcribed verbatim. Themes and sub-themes were deduced from the data through framework analysis using five distinctive steps: familiarization, identifying an analytic framework, indexing, charting, mapping and interpretation. Themes and sub-themes were also mapped to existing KT theories, models, and frameworks., Results: Thirteen experts from Canada, United States, United Kingdom, Australia, Germany, Spain, and Sweden participated in the study. Three themes emerged that illustrated the ideal traits: principles that were foundational for HTR, levers of change, and steps for knowledge to action. Principles included evidence-based, high usability, patient-centered, and ability to apply to the micro, meso, macro levels. Levers of change were characterized as positive, neutral, or negative influences for changing behaviour for HTR. Steps for knowledge to action included: build the case for HTR, adapt research knowledge, assess context, select interventions, and assess impact. Of the KT theories, models, and frameworks that were mapped, the Consolidated Framework for Implementation Research had most of the characteristics, except ability to apply to micro, meso, macro levels., Conclusions: Characteristics that need to be considered within a KT theory, model, and framework for implementing HTR outputs have been identified. Consideration of these characteristics may guide users to select relevant KT theories, models, and frameworks to apply to HTR projects.