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Classification schemes for knowledge translation interventions: a practical resource for researchers
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 revie...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718087/ https://www.ncbi.nlm.nih.gov/pubmed/29207955 http://dx.doi.org/10.1186/s12874-017-0441-2 |
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author | Slaughter, Susan E. Zimmermann, Gabrielle L. Nuspl, Megan Hanson, Heather M. Albrecht, Lauren Esmail, Rosmin Sauro, Khara Newton, Amanda S. Donald, Maoliosa Dyson, Michele P. Thomson, Denise Hartling, Lisa |
author_facet | Slaughter, Susan E. Zimmermann, Gabrielle L. Nuspl, Megan Hanson, Heather M. Albrecht, Lauren Esmail, Rosmin Sauro, Khara Newton, Amanda S. Donald, Maoliosa Dyson, Michele P. Thomson, Denise Hartling, Lisa |
author_sort | Slaughter, Susan E. |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-017-0441-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5718087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57180872017-12-08 Classification schemes for knowledge translation interventions: a practical resource for researchers Slaughter, Susan E. Zimmermann, Gabrielle L. Nuspl, Megan Hanson, Heather M. Albrecht, Lauren Esmail, Rosmin Sauro, Khara Newton, Amanda S. Donald, Maoliosa Dyson, Michele P. Thomson, Denise Hartling, Lisa BMC Med Res Methodol Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-017-0441-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-06 /pmc/articles/PMC5718087/ /pubmed/29207955 http://dx.doi.org/10.1186/s12874-017-0441-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Slaughter, Susan E. Zimmermann, Gabrielle L. Nuspl, Megan Hanson, Heather M. Albrecht, Lauren Esmail, Rosmin Sauro, Khara Newton, Amanda S. Donald, Maoliosa Dyson, Michele P. Thomson, Denise Hartling, Lisa Classification schemes for knowledge translation interventions: a practical resource for researchers |
title | Classification schemes for knowledge translation interventions: a practical resource for researchers |
title_full | Classification schemes for knowledge translation interventions: a practical resource for researchers |
title_fullStr | Classification schemes for knowledge translation interventions: a practical resource for researchers |
title_full_unstemmed | Classification schemes for knowledge translation interventions: a practical resource for researchers |
title_short | Classification schemes for knowledge translation interventions: a practical resource for researchers |
title_sort | classification schemes for knowledge translation interventions: a practical resource for researchers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718087/ https://www.ncbi.nlm.nih.gov/pubmed/29207955 http://dx.doi.org/10.1186/s12874-017-0441-2 |
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