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Published in: BMC Medical Research Methodology 1/2017

Open Access 01-12-2017 | Research article

Classification schemes for knowledge translation interventions: a practical resource for researchers

Authors: Susan E. Slaughter, Gabrielle L. Zimmermann, Megan Nuspl, Heather M. Hanson, Lauren Albrecht, Rosmin Esmail, Khara Sauro, Amanda S. Newton, Maoliosa Donald, Michele P. Dyson, Denise Thomson, Lisa Hartling

Published in: BMC Medical Research Methodology | Issue 1/2017

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Abstract

Background

As implementation science advances, the number of interventions to promote the translation of evidence into healthcare, health systems, or health policy is growing. Accordingly, classification schemes for these knowledge translation (KT) interventions have emerged. A recent scoping review identified 51 classification schemes of KT interventions to integrate evidence into healthcare practice; however, the review did not evaluate the quality of the classification schemes or provide detailed information to assist researchers in selecting a scheme for their context and purpose. This study aimed to further examine and assess the quality of these classification schemes of KT interventions, and provide information to aid researchers when selecting a classification scheme.

Methods

We abstracted the following information from each of the original 51 classification scheme articles: authors’ objectives; purpose of the scheme and field of application; socioecologic level (individual, organizational, community, system); adaptability (broad versus specific); target group (patients, providers, policy-makers), intent (policy, education, practice), and purpose (dissemination versus implementation). Two reviewers independently evaluated the methodological quality of the development of each classification scheme using an adapted version of the AGREE II tool. Based on these assessments, two independent reviewers reached consensus about whether to recommend each scheme for researcher use, or not.

Results

Of the 51 original classification schemes, we excluded seven that were not specific classification schemes, not accessible or duplicates. Of the remaining 44 classification schemes, nine were not recommended. Of the 35 recommended classification schemes, ten focused on behaviour change and six focused on population health. Many schemes (n = 29) addressed practice considerations. Fewer schemes addressed educational or policy objectives. Twenty-five classification schemes had broad applicability, six were specific, and four had elements of both. Twenty-three schemes targeted health providers, nine targeted both patients and providers and one targeted policy-makers. Most classification schemes were intended for implementation rather than dissemination.

Conclusions

Thirty-five classification schemes of KT interventions were developed and reported with sufficient rigour to be recommended for use by researchers interested in KT in healthcare. Our additional categorization and quality analysis will aid in selecting suitable classification schemes for research initiatives in the field of implementation science.
Appendix
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Metadata
Title
Classification schemes for knowledge translation interventions: a practical resource for researchers
Authors
Susan E. Slaughter
Gabrielle L. Zimmermann
Megan Nuspl
Heather M. Hanson
Lauren Albrecht
Rosmin Esmail
Khara Sauro
Amanda S. Newton
Maoliosa Donald
Michele P. Dyson
Denise Thomson
Lisa Hartling
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2017
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-017-0441-2

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