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What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review
BACKGROUND: Health policy-making can benefit from more effective use of research. In many policy settings there is scope to increase capacity for using research individually and organisationally, but little is known about what strategies work best in which circumstances. This review addresses the qu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892006/ https://www.ncbi.nlm.nih.gov/pubmed/29631606 http://dx.doi.org/10.1186/s12961-018-0277-1 |
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author | Haynes, Abby Rowbotham, Samantha J. Redman, Sally Brennan, Sue Williamson, Anna Moore, Gabriel |
author_facet | Haynes, Abby Rowbotham, Samantha J. Redman, Sally Brennan, Sue Williamson, Anna Moore, Gabriel |
author_sort | Haynes, Abby |
collection | PubMed |
description | BACKGROUND: Health policy-making can benefit from more effective use of research. In many policy settings there is scope to increase capacity for using research individually and organisationally, but little is known about what strategies work best in which circumstances. This review addresses the question: What causal mechanisms can best explain the observed outcomes of interventions that aim to increase policy-makers’ capacity to use research in their work? METHODS: Articles were identified from three available reviews and two databases (PAIS and WoS; 1999–2016). Using a realist approach, articles were reviewed for information about contexts, outcomes (including process effects) and possible causal mechanisms. Strategy + Context + Mechanism = Outcomes (SCMO) configurations were developed, drawing on theory and findings from other studies to develop tentative hypotheses that might be applicable across a range of intervention sites. RESULTS: We found 22 studies that spanned 18 countries. There were two dominant design strategies (needs-based tailoring and multi-component design) and 18 intervention strategies targeting four domains of capacity, namely access to research, skills improvement, systems improvement and interaction. Many potential mechanisms were identified as well as some enduring contextual characteristics that all interventions should consider. The evidence was variable, but the SCMO analysis suggested that tailored interactive workshops supported by goal-focused mentoring, and genuine collaboration, seem particularly promising. Systems supports and platforms for cross-sector collaboration are likely to play crucial roles. Gaps in the literature are discussed. CONCLUSION: This exploratory review tentatively posits causal mechanisms that might explain how intervention strategies work in different contexts to build capacity for using research in policy-making. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12961-018-0277-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5892006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58920062018-04-11 What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review Haynes, Abby Rowbotham, Samantha J. Redman, Sally Brennan, Sue Williamson, Anna Moore, Gabriel Health Res Policy Syst Review BACKGROUND: Health policy-making can benefit from more effective use of research. In many policy settings there is scope to increase capacity for using research individually and organisationally, but little is known about what strategies work best in which circumstances. This review addresses the question: What causal mechanisms can best explain the observed outcomes of interventions that aim to increase policy-makers’ capacity to use research in their work? METHODS: Articles were identified from three available reviews and two databases (PAIS and WoS; 1999–2016). Using a realist approach, articles were reviewed for information about contexts, outcomes (including process effects) and possible causal mechanisms. Strategy + Context + Mechanism = Outcomes (SCMO) configurations were developed, drawing on theory and findings from other studies to develop tentative hypotheses that might be applicable across a range of intervention sites. RESULTS: We found 22 studies that spanned 18 countries. There were two dominant design strategies (needs-based tailoring and multi-component design) and 18 intervention strategies targeting four domains of capacity, namely access to research, skills improvement, systems improvement and interaction. Many potential mechanisms were identified as well as some enduring contextual characteristics that all interventions should consider. The evidence was variable, but the SCMO analysis suggested that tailored interactive workshops supported by goal-focused mentoring, and genuine collaboration, seem particularly promising. Systems supports and platforms for cross-sector collaboration are likely to play crucial roles. Gaps in the literature are discussed. CONCLUSION: This exploratory review tentatively posits causal mechanisms that might explain how intervention strategies work in different contexts to build capacity for using research in policy-making. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12961-018-0277-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-10 /pmc/articles/PMC5892006/ /pubmed/29631606 http://dx.doi.org/10.1186/s12961-018-0277-1 Text en © The Author(s). 2018 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 | Review Haynes, Abby Rowbotham, Samantha J. Redman, Sally Brennan, Sue Williamson, Anna Moore, Gabriel What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title | What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title_full | What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title_fullStr | What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title_full_unstemmed | What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title_short | What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review |
title_sort | what can we learn from interventions that aim to increase policy-makers’ capacity to use research? a realist scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892006/ https://www.ncbi.nlm.nih.gov/pubmed/29631606 http://dx.doi.org/10.1186/s12961-018-0277-1 |
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