ArticleBMC health services research2021
Identifying competencies for integrated knowledge translation: a Delphi study.
Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- How and why funders support engaged research.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Transforming dementia research into practice: a multiple case study of academic research utilization strategies in Dutch Alzheimer Centres.Health research policy and systems · 2025Article
- Mixed Methods Evaluation of the Impact of Allied Health - Translating Research into Practice (AH-TRIP) Program on the Knowledge Translation Capacity of the Allied Health Workforce.International journal of health policy and management · 2025Article
- Outcomes of an integrated knowledge translation approach in five African countries: a mixed-methods comparative case study.Health research policy and systems · 2024Article
- Research Coproduction: How Can Coproduction Teams Increase Traffic on the Pathway to Impact? Comment on "Research Coproduction: An Underused Pathway to Impact".International journal of health policy and management · 2024Article
- A landscape assessment of the activities and capacities of evidence-to-policy intermediaries (EPI) in behavioral health.Implementation science communications · 2023Article
- Core competencies for a biomedical laboratory scientist - a Delphi study.BMC medical education · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsiderable progress has been made to advance the field of knowledge translation to address the knowledge-to-action gap in health care; however, there remains a growing concern that misalignments persist between research being conducted and the issues faced by knowledge users, such as clinicians and health policy makers, who make decisions in the health care context. Integrated knowledge translation (IKT) is a collaborative research model that has shown promise in addressing these concerns. It takes advantage of the unique and shared competencies amongst researchers and knowledge users to ensure relevance of the research process and its outcomes. To date, core competencies have already been identified to facilitate training in knowledge translation more generally but they have yet to be prioritized for IKT more specifically. The primary aim of this study was to recruit a group of researchers and knowledge users to identify and prioritize core competencies for researchers and knowledge users to engage with IKT.
methodsWe recruited health care knowledge users (KUs) and researchers with experience and knowledge of IKT for a quantitative, cross-sectional study. We employed a modified Delphi approach consisting of three e-survey rounds to establish consensus on competencies important to IKT for KUs and researchers based on mean rating of importance and agreement between participants.
resultsNineteen (73%) of the initial 26 participants were researchers (response rate = 41% in the first round; retention in subsequent rounds > 80%). Participants identified a total of 46 competencies important for IKT (18 competencies for KUs, 28 competencies for researchers) under 3 broad domains. Technical research skills were deemed extremely important for researchers, while both groups require teamwork and knowledge translation skills.
conclusionsThis study provides important insight into distinct and overlapping IKT competencies for KUs and researchers. Future work could focus on how these can be further negotiated and contextualized for a wide range of IKT contexts, projects and teams. Greater attention could also be paid to establishing competencies of the entire team to support the research co-production process.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.