Building an integrated knowledge translation (IKT) evidence base: colloquium proceedings and research direction

for the Integrated Knowledge Translation Research Network; Boland, L.; Kothari, A.; McCutcheon, C.; Graham, I. D.

doi:10.1186/s12961-019-0521-3

Cited by 106Health Policy Implementation ScienceInterdisciplinary Research and CollaborationMental Health and Patient Involvement

Building an integrated knowledge translation (IKT) evidence base: colloquium proceedings and research direction

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for the Integrated Knowledge Translation Research Network, Boland, L., Kothari, A., McCutcheon, C., Graham, I. D.·2020·Health Research Policy and Systems

DOI 10.1186/s12961-019-0521-3PMC PMC6972018

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Abstract

Background: Integrated knowledge translation (IKT) is a model of research co-production, whereby researchers partner with knowledge users throughout the research process and who can use the research recommendations in practice or policy. IKT approaches are used to improve the relevance and impact of research. As an emerging field, however, the evidence underpinning IKT is in active development. The Integrated Knowledge Translation Research Network represents a collaborative interdisciplinary team that aims to advance the state of IKT science. Methods: In 2017, the Integrated Knowledge Translation Research Network issued a call to its members for concept papers to further define IKT, outline an IKT research agenda, and inform the Integrated Knowledge Translation Research Network’s special meeting entitled, Integrated Knowledge Translation State of the Science Colloquium, in Ottawa, Canada (2018). At the colloquium, authors presented concept papers and discussed knowledge-gaps for a research agenda and implications for advancing the IKT field. We took detailed field notes, audio-recorded the meeting and analysed the data using qualitative content analysis. Results: Twenty-four participants attended the meeting, including researchers (n = 11), trainees (n = 6) and knowledge users (n = 7). Seven overarching categories emerged from these proceedings – IKT theory, IKT methods, IKT process, promoting partnership, definitions and distinctions of key IKT terms, capacity-building, and role of funders. Within these categories, priorities identified for future IKT research included: (1) improving clarity about research co-production/IKT theories and frameworks; (2) describing the process for engaging knowledge users; and (3) identifying research co-production/IKT outcomes and methods for evaluation. Conclusion: The Integrated Knowledge Translation State of the Science Colloquium initiated a research agenda to advance IKT science and practice. Next steps will focus on building a theoretical and evidence base for IKT.

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The focus of the review was directly informed by three patients and 10 knowledge user partners using an integrated knowledge translation approach.
“The focus of this review was directly informed by three patients and 10 knowledge user partners using an integrated knowledge translation approach.21 26”
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[5]Graham ID Tetroe J MacLean R Graham Tetroe Pierson Some basics of integrated knowledge translation research (Chapter 1) Practical guidance on how to do integrated knowledge translation 2014 Adelaide Lippincott-JBI
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Additional file 2 of Development, characteristics and impact of quality improvement casebooks: a scoping review
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Additional file 2 of A scoping review to identify and describe the characteristics of theories, models and frameworks of health research partnerships
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Additional file 3 of A scoping review to identify and describe the characteristics of theories, models and frameworks of health research partnerships
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Additional file 1 of Developing, implementing, and monitoring tailored strategies for integrated knowledge translation in five sub-Saharan African countries
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How does integrated knowledge translation work? A realist review
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Integrated knowledge translation (IKT) in health care: a scoping review
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Self-citation
MOESM1 of Building an integrated knowledge translation (IKT) evidence base: colloquium proceedings and research direction
Boland, L., Kothari, A., McCutcheon, C., & Graham, I. (2020) · Figshare · doi:10.6084/m9.figshare.11664990
Self-citation

Authors: for the Integrated Knowledge Translation Research Network, Boland, L., Kothari, A., McCutcheon, C., & Graham, I. D.
Affiliations: Western University (CA)
Ottawa Hospital Research Institute (CA)
University of Ottawa (CA)
Corresponding author: Graham, I. D.
ORCID: Boland, L.
Kothari, A.
McCutcheon, C.
Graham, I. D.
Venue: Health Research Policy and Systems
Publisher: Springer Science and Business Media LLC
Published: 2020-01-20
Volume: 18
Issue: 1
Pages: 8-8
ISSN: 1478-4505 (ISSN-L)
DOI: 10.1186/s12961-019-0521-3
PMC: PMC6972018
OpenAlex: W3003132063
Cited by: 106
References: 16
Citations by year: 2026: 16 · 2025: 24 · 2024: 20 · 2023: 11 · 2022: 18 · 2021: 15 · 2020: 2
FWCI: 12.01
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Health Research Policy and Systems (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
uO Research (University of Ottawa) (submittedVersion, public-domain)
Funders: Canadian Institutes of Health Research (FDN #143237)
Topics: Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
Social Sciences › Decision Sciences › Information Systems and Management › Interdisciplinary Research and Collaboration
Health Sciences › Health Professions › General Health Professions › Mental Health and Patient Involvement
Keywords: integrated knowledge translation, co-production of research, knowledge users, research collaboration, research agenda, capacity building, research impact
MeSH terms: Cooperative Behavior, Humans, Evidence-Based Practice, Translational Research, Biomedical, Capacity Building

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Building an integrated knowledge translation (IKT) evidence base: colloquium proceedings and research direction

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