Improving KT tools and products: development and evaluation of a framework for creating optimized, Knowledge-activated Tools (KaT).

Delphi study Framework KT tools, Interventions Knowledge translation Knowledge user needs Survey

Journal

Implementation science communications
ISSN: 2662-2211
Titre abrégé: Implement Sci Commun
Pays: England
ID NLM: 101764360

Informations de publication

Date de publication:
2020
Historique:
received: 13 09 2019
accepted: 13 04 2020
entrez: 5 9 2020
pubmed: 5 9 2020
medline: 5 9 2020
Statut: epublish

Résumé

Positive impacts of quality improvement initiatives on health care and services have not been substantial. Knowledge translation (KT) strategies (tools, products and interventions) strive to facilitate the uptake of knowledge thereby the potential to improve care, but there is little guidance on We conducted a 3-phase study. In phase 1, we used several sources to develop a conceptual framework for creating optimized Knowledge-activated Tools (KaT) (consultation with our integrated KT team, the use of existing KT models and frameworks, findings of a systematic review of multimorbidity interventions and a literature review and document analysis on existing KT guidance tools). In phase 2, we invited KT experts to participate in a Delphi study to refine and evaluate the conceptual KaT framework. In phase 3, we administered an online survey to knowledge users (researchers, clinicians, decision-makers, trainees) to evaluate the potential usefulness of an online mock-up version of the KaT framework. We developed the conceptual KaT framework, and iteratively refined it with 35 KT experts in a 3-round Delphi study. The final framework represents the blueprint for what is needed to create KT strategies. Feedback from 201 researcher, clinician, decision-maker and trainee knowledge users on the potential need and usefulness of an online, interactive version of KaT indicated that they liked the idea of it (mean score 4.36 on a 5-point Likert scale) and its proposed features (mean score range 4.30-4.79). Our findings suggest that mostly Canadian KT experts and knowledge users perceived the KaT framework and the future development of an online, interactive version to be important and needed. We anticipate that the KaT framework will provide clarity for knowledge users about

Sections du résumé

BACKGROUND BACKGROUND
Positive impacts of quality improvement initiatives on health care and services have not been substantial. Knowledge translation (KT) strategies (tools, products and interventions) strive to facilitate the uptake of knowledge thereby the potential to improve care, but there is little guidance on
METHODS METHODS
We conducted a 3-phase study. In phase 1, we used several sources to develop a conceptual framework for creating optimized Knowledge-activated Tools (KaT) (consultation with our integrated KT team, the use of existing KT models and frameworks, findings of a systematic review of multimorbidity interventions and a literature review and document analysis on existing KT guidance tools). In phase 2, we invited KT experts to participate in a Delphi study to refine and evaluate the conceptual KaT framework. In phase 3, we administered an online survey to knowledge users (researchers, clinicians, decision-makers, trainees) to evaluate the potential usefulness of an online mock-up version of the KaT framework.
RESULTS RESULTS
We developed the conceptual KaT framework, and iteratively refined it with 35 KT experts in a 3-round Delphi study. The final framework represents the blueprint for what is needed to create KT strategies. Feedback from 201 researcher, clinician, decision-maker and trainee knowledge users on the potential need and usefulness of an online, interactive version of KaT indicated that they liked the idea of it (mean score 4.36 on a 5-point Likert scale) and its proposed features (mean score range 4.30-4.79).
CONCLUSIONS CONCLUSIONS
Our findings suggest that mostly Canadian KT experts and knowledge users perceived the KaT framework and the future development of an online, interactive version to be important and needed. We anticipate that the KaT framework will provide clarity for knowledge users about

Identifiants

pubmed: 32885203
doi: 10.1186/s43058-020-00031-7
pii: 31
pmc: PMC7427906
doi:

Types de publication

Journal Article

Langues

eng

Pagination

47

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsThe authors have no competing interests to declare.

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Auteurs

Monika Kastner (M)

North York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Institute of Health Policy, Management and Evaluation, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON M5T 3M6 Canada.

Julie Makarski (J)

North York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.

Leigh Hayden (L)

North York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.

Yonda Lai (Y)

Li Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.

Joyce Chan (J)

North York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.
Li Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.

Victoria Treister (V)

Li Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.

Kegan Harris (K)

North York General Hospital, Centre for Research and Innovation, 4001 Leslie Street, Toronto, Ontario M2K 1E1 Canada.

Sarah Munce (S)

University Health Network, Toronto, Ontario Canada.

Jayna Holroyd-Leduc (J)

Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta Canada.

Ian D Graham (ID)

School of Epidemiology and Public Health, Clinical Epidemiology Program, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Ontario Canada.

Sharon E Straus (SE)

Li Ka Shing Knowledge Institute of St. Michael's hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8 Canada.
Department of Medicine, University of Toronto, Toronto, Canada.

Classifications MeSH