PP100 Characteristics To Consider In A Knowledge Translation Theory, Model Or Framework For Health Technology Reassessment

2021 ◽  
Vol 37 (S1) ◽  
pp. 18-19
Author(s):  
Rosmin Esmail ◽  
Heather M. Hanson ◽  
Jayna Holroyd-Leduc ◽  
Daniel J. Niven ◽  
Fiona M. Clement
Keyword(s):  
Knowledge Translation ◽  
Health Technology ◽  
Theory Model ◽  
Evidence Based ◽  
Structured Interviews ◽  
Framework Analysis ◽  
Patient Centered ◽  
Research Knowledge ◽  
Knowledge To Action ◽  
Health Technology Reassessment

IntroductionHealth technology reassessment (HTR) is a structured evidence-based assessment of an existing technology in comparison to its alternatives. The process results in the following four outputs: (i) increased use; (ii) decreased use; (iii) no change; or (iv) de-adoption. However, implementing these outputs remains a challenge. Knowledge translation (KT) can be applied to implement findings from the HTR process. This study sought to identify which characteristics of KT theories, models, and frameworks (TMFs) could be useful, specifically for decreasing the use of or de-adopting a technology.MethodsA qualitative descriptive approach was used to ascertain the perspectives of international KT and HTR experts on the characteristics of KT TMFs for decreasing the use of or de-adopting a technology. One-to-one semi-structured interviews were conducted. Interviews were audio recorded and transcribed verbatim. Themes and sub-themes were deduced from the data through framework analysis using the following five distinctive steps: familiarization; identifying an analytic framework; indexing; charting; and mapping and interpretation. Themes and sub-themes were also mapped to existing KT TMFs.ResultsThirteen experts participated. The following three themes emerged as ideal characteristics of a KT TMF: (i) principles foundational for HTR: evidence-based, high usability, patient-centered, and ability to apply to micro, meso, and macro levels; (ii) levers of change: characterized as positive, neutral, or negative influences for changing behavior; and (iii) steps for knowledge to action: build the case for HTR, adapt research knowledge, assess context, select, tailor, and implement interventions, and assess impact. The Consolidated Framework for Implementation Research had the greatest number of ideal characteristics.ConclusionsApplication of KT TMFs to the HTR process has not been clearly established. This is the first study to provide an understanding of characteristics within KT TMFs that could be considered by users undertaking projects to decrease or de-adopt technologies. Characteristics to be considered within a KT TMF for implementing HTR outputs were identified. Consideration of these characteristics may guide users in choosing which KT TMF(s) to use when undertaking HTR projects.

scholarly journals Characteristics of knowledge translation theories, models and frameworks for health technology reassessment: expert perspectives through a qualitative exploration

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rosmin Esmail ◽  
Fiona M. Clement ◽  
Jayna Holroyd-Leduc ◽  
Daniel J. Niven ◽  
Heather M. Hanson
Keyword(s):  
Knowledge Translation ◽  
Technology Implementation ◽  
Health Technology ◽  
Theory Model ◽  
Structured Interviews ◽  
Framework Analysis ◽  
Patient Centered ◽  
Research Knowledge ◽  
Knowledge To Action ◽  
Health Technology Reassessment

Abstract 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.

scholarly journals Characteristics of Knowledge Translation Theories, Models and Frameworks for Health Technology Reassessment: Expert Perspectives Through a Qualitative Exploration

2020 ◽  
Author(s):  
Rosmin Esmail ◽  
Fiona M Clement ◽  
Jayna Holroyd-Leduc ◽  
Daniel J Niven ◽  
Heather M Hanson
Keyword(s):  
Knowledge Translation ◽  
Technology Implementation ◽  
Health Technology ◽  
Structured Interviews ◽  
Framework Analysis ◽  
Patient Centered ◽  
Research Knowledge ◽  
Knowledge To Action ◽  
Health Technology Reassessment ◽  
Decrease Use

Abstract 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 knowledge into practice. KT could help with implementation of HTR outputs. This study sought to identify which characteristics of KT theories, models, and frameworks (TMFs) could be useful, specifically for decrease 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 TMFs for decrease 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 TMFs.Results: Thirteen individuals from Canada, United States, United Kingdom, Australia, Germany, Spain, and Sweden participated in the study. Three themes emerged that illustrated the ideal traits of a KT TMF: 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, tailor and implement interventions, and assess impact. Of the KT TMFs that were mapped, the Consolidated Framework for Implementation Research had most of the characteristics, except ability to apply to micro, meso, macro levels. Conclusions: Application of KT TMFs to HTR has not been clearly understood. Characteristics that need to be considered within a KT TMF for implementing HTR outputs have been identified. Consideration of these characteristics within KT TMFs may guide users undertaking HTR projects.

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

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e042251
Author(s):  
Rosmin Esmail ◽  
Heather M Hanson ◽  
Jayna Holroyd-Leduc ◽  
Daniel J Niven ◽  
Fiona M Clement
Keyword(s):  
Knowledge Translation ◽  
Health Technology ◽  
Ease Of Use ◽  
Cross Sectional Survey ◽  
Full Spectrum ◽  
Cross Sectional ◽  
Knowledge To Action ◽  
Purposeful Sampling ◽  
International Experts ◽  
Health Technology Reassessment

ObjectiveHealth 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.DesignCross-sectional survey.ParticipantsPurposeful sampling of international KT and HTR experts was administered between January and March 2019.MethodsSixteen 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.ResultsEleven 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.ConclusionsDespite 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.

scholarly journals Knowledge Translation Improvement Strategies in Universities of Medical Sciences in Iran: A Qualitative Study

2021 ◽  
Vol 31 (1) ◽  
Author(s):  
Sogand Tourani ◽  
Narges Rafiei ◽  
Shahnaz Rimaz ◽  
Seyed Kazem Malakouti ◽  
Alireza Heidari
Keyword(s):  
Qualitative Study ◽  
Knowledge Translation ◽  
Knowledge Production ◽  
Data Organization ◽  
Health Plans ◽  
Medical Sciences ◽  
Structured Interviews ◽  
Framework Analysis ◽  
Improvement Strategies

BACKGROUND፡ Recently, one of the challenges in the health system of the country is the need for research contributing to policy-making. Therefore, it is crucial to develop activities in the field of knowledge Translation (KT). This study aimed to propose KT improvement strategies in universities of medical sciences in Iran.METHODS: In this qualitative study, 18 semi-structured interviews were conducted with key informants from the medical universities in Iran during January-July 2018. The transcribed documents were analyzed using the Gale framework analysis approach. Data organization was carried out using MAXQDA version 10 software.RESULTS: According to framework analysis, six KT improvement strategies were identified including improving the abilities and skills of researchers, improving the processes and quality of knowledge production, revising policies and laws, mproving the prerequisites, culture-building, and promoting the, use of evidence.CONCLUSION: Given the challenges and strategies outlined in this study, it seems that the mechanism of KT and its effects on improving health plans for policymakers and researchers has not been elucidated yet. Therefore, considerable changes in prerequisites, knowledge production processes, academic procedures, policies and laws are necessary for implementing KT in universities of medical sciences in Iran. 

Cancer distress screening data: Translating knowledge into clinical action for a quality response

2013 ◽  
Vol 12 (1) ◽  
pp. 39-51 ◽  
Author(s):  
Doris Howell ◽  
Thomas F. Hack ◽  
Esther Green ◽  
Margaret Fitch
Keyword(s):  
Knowledge Translation ◽  
Care Delivery ◽  
Psychosocial Care ◽  
Evidence Based ◽  
Distress Screening ◽  
Levels Of Care ◽  
Knowledge To Action ◽  
Knowledge Translation Strategies ◽  
Clinical Action ◽  
Quality Response

AbstractObjectives:The purpose of this paper is to summarize the use of the knowledge to action framework for adapting guidelines for practice and the evidence for effective implementation interventions to promote a quality response to cancer distress screening data.Methods:We summarize progress in screening implementation in Ontario, Canada and the application of a systematic approach for adapting knowledge to practice and use of evidence-based knowledge translation interventions to ensure the uptake of best practices to manage distress.Results:While significant progress has been made in the uptake of distress screening it is less clear if this has resulted in improvements in patient outcomes, i.e., reduced distress. The use of evidence-based knowledge translation strategies tailored to barriers at many levels of care delivery is critical to facilitate the uptake of distress screening data by the primary oncology team.Significance of results:There is a wealth of knowledge about the approaches that can be applied to translate knowledge into practice to improve psychosocial care and promote evidence-based distress management by the primary care oncology team. However, further implementation research is needed to advance knowledge about the most effective strategies in the context of cancer care.

Considerations for knowledge translation tool development: perspectives from French and Filipino parents (Preprint)

2021 ◽  
Author(s):  
Sarah A Elliott ◽  
Kelsey S Wright ◽  
Shannon D Scott ◽  
Lisa Hartling
Keyword(s):  
Knowledge Translation ◽  
Language Translation ◽  
First Language ◽  
Signs And Symptoms ◽  
Evidence Based ◽  
Data Sets ◽  
Structured Interviews ◽  
Cultural Adaptations ◽  
Key Stakeholders ◽  
Audio Recordings

BACKGROUND We have developed a number of evidence-based knowledge translation (KT) tools for parents of children with acute health conditions. These tools were created with parent input from, pilot-tested with, and disseminated to groups proficient in English with “westernized” cultural upbringings. It is therefore unclear if they are as useful for populations that are more diverse. To enhance the reach of our current and future KT tools, language translation and cultural adaptations may promote relevance for previously underserved knowledge users. OBJECTIVE To explore and understand considerations for cultural and linguistic adaptation of a KT tool for French and Filipino communities. METHODS A KT tool (whiteboard animation video) describing the signs and symptoms of croup was originally developed in English to provide parents with evidence-based information couched within a narrative reflecting parents’ experiences with the condition. Through feedback from key stakeholders, this KT tool was adapted (linguistics, imagery) for French and Tagalog-speaking parents and caregivers. The videos were presented to respective language speakers for usability testing and discussion. Participants were asked to view the KT tool, complete a usability survey and participate in semi-structured interviews. Audio recordings from the interviews were transcribed verbatim, translated to English, and analyzed for relevant themes using thematic analysis. RESULTS French (n=13) and Tagalog (n=13) speaking parents completed the usability survey and were interviewed. Though analyzed separately, both data sets produced similar findings with key themes relating to 1) understanding, 2) relatability, and 3) accessibility. Both French and Tagalog groups reported that the video and other KT tools were useful in their adapted forms. Participants in both groups cautioned using verbatim vocabulary and suggested that cultural competency and understanding of health language was essential for high quality translations. Parents also discussed their preference of videos with diverse visual representations of families, home environments, and healthcare workers to more broadly represent their communities. CONCLUSIONS French and Filipino parents appreciated having KT tools in their first language; however, they were also supportive of the use of English KT products. Their suggestions for improving relatability and communication of health messages are important considerations for the development and adaption of future KT products. Understanding the needs of the intended end-users is a crucial first step to produce relevant tools for health evidence dissemination.

scholarly journals Empowering Researchers and Knowledge-Producing Organizations for Evidence-Informed Health Policy Making: Interventions in the Iranian Health System

2020 ◽  
Author(s):  
leila Doshmangir ◽  
Hakimeh Mostafavi ◽  
Reza Majdzadeh
Keyword(s):  
Health Policy ◽  
Health System ◽  
Policy Making ◽  
Scientific Evidence ◽  
Effective Interaction ◽  
Evidence Based ◽  
Structured Interviews ◽  
Framework Analysis ◽  
Community Based Interventions ◽  
Iranian Health System

Abstract Background: Providing appropriate information to policymakers by strengthening evidence-based capacity is a key factor in the development of evidence-based policy making (EIPM). This study aims to examine the necessary interventions in the Iranian health system for empowering researchers and knowledge-producing organizations to strengthen EIPM.Methods: This qualitative study was conducted using interviews and document review. The views and experiences of enterviewees were extracted through semi-structured interviews. Purposive sampling was used and continued until data saturation. Thematic framework analysis and MAXQDA 12 software were used for data analysis.Results: Necessary interventions for empowering researchers and knowledge-producing organizations were categorized into health system interventions, community-based interventions, organization interventions, and individual interventions.Conclusion: Incompatibility of health policy decisions with scientific evidence derived from research highlights the importance of creating a common language among health policymakers and researchers. In this regard, developing scientific and practical interventions, educating health researchers on knowledge translation, and using mechanisms and networks for effective interaction will be constructive.

scholarly journals Knowledge translation and health technology reassessment: identifying synergy

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Rosmin Esmail ◽  
Heather Hanson ◽  
Jayna Holroyd-Leduc ◽  
Daniel J. Niven ◽  
Fiona Clement
Keyword(s):  
Knowledge Translation ◽  
Health Technology ◽  
Health Technology Reassessment
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