Knowledge translation and health technology reassessment: identifying synergy
| dc.contributor.author | Esmail, Rosmin | |
| dc.contributor.author | Hanson, Heather | |
| dc.contributor.author | Holroyd-Leduc, Jayna | |
| dc.contributor.author | Niven, Daniel J | |
| dc.contributor.author | Clement, Fiona | |
| dc.date.accessioned | 2018-11-07T17:02:31Z | |
| dc.date.available | 2018-11-07T17:02:31Z | |
| dc.date.issued | 2018-08-30 | |
| dc.date.updated | 2018-11-07T17:02:31Z | |
| dc.description.abstract | Abstract Background Health Technology Reassessment (HTR) is an emerging field that shifts the focus from traditional methods of technology adoption to managing technology throughout its lifecycle. HTR is a mechanism to improve patient care and system efficiency through a reallocation of resources away from low-value care towards interventions and technologies that are high value. To achieve this, the outputs of HTR and its recommendations must be translated into practice. The evolving field of knowledge translation (KT) can provide guidance to improve the uptake of evidence-informed policies and recommendations resulting from the process of HTR. This paper argues how the theories, models and frameworks from KT could advance the HTR process. Discussion First, common KT theories, models and frameworks are presented. Second, facilitators and barriers to KT within the context of HTR are summarized from the literature. Facilitators and barriers to KT include ensuring a solid research evidence-base for the technology under reassessment, assessing the climate and context, understanding the social an political context, initiating linkage and exchange, having a structured HTR Process, adequate resources, and understanding the roles of researchers, knowledge users, and stakeholders can enhance knowledge translation of HTR outputs. Third, three case examples at the individual (micro), organizational (meso), and policy (macro) levels are used to illustrate to describe how a KT theory, model or framework could be applied to a HTR project. These case studies show how selecting and applying KT theories, models and frameworks can facilitate the implementation of HTR recommendations. Conclusion HTR and KT are synergistic processes that can be used to optimize technology use throughout its lifecycle. We argue that the application of KT theories, models and frameworks, and the assessment of barriers and facilitators to KT can facilitate translation of HTR recommendations into practice. | |
| dc.identifier.citation | BMC Health Services Research. 2018 Aug 30;18(1):674 | |
| dc.identifier.doi | https://doi.org/10.1186/s12913-018-3494-y | |
| dc.identifier.uri | http://hdl.handle.net/1880/108966 | |
| dc.identifier.uri | https://doi.org/10.11575/PRISM/44245 | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The Author(s). | |
| dc.title | Knowledge translation and health technology reassessment: identifying synergy | |
| dc.type | Journal Article |