What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review

Abstract 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 addresse...

Full description

Bibliographic Details
Main Authors: Abby Haynes, Samantha J. Rowbotham, Sally Redman, Sue Brennan, Anna Williamson, Gabriel Moore
Format: Article
Language:English
Published: BMC 2018-04-01
Series:Health Research Policy and Systems
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12961-018-0277-1
id doaj-28e8752aa4fa44a38981d8567c538eed
record_format Article
spelling doaj-28e8752aa4fa44a38981d8567c538eed2020-11-25T00:27:55ZengBMCHealth Research Policy and Systems1478-45052018-04-0116112710.1186/s12961-018-0277-1What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping reviewAbby Haynes0Samantha J. Rowbotham1Sally Redman2Sue Brennan3Anna Williamson4Gabriel Moore5Sax InstituteMenzies Centre for Health Policy, University of SydneySax InstituteAustralasian Cochrane Centre, School of Public Health and Preventive Medicine, Monash UniversitySax InstituteSax InstituteAbstract 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.http://link.springer.com/article/10.1186/s12961-018-0277-1Realist reviewScoping reviewResearch utilisationKnowledge mobilisationHealth policyCapacity-building
collection DOAJ
language English
format Article
sources DOAJ
author Abby Haynes
Samantha J. Rowbotham
Sally Redman
Sue Brennan
Anna Williamson
Gabriel Moore
spellingShingle Abby Haynes
Samantha J. Rowbotham
Sally Redman
Sue Brennan
Anna Williamson
Gabriel Moore
What can we learn from interventions that aim to increase policy-makers’ capacity to use research? A realist scoping review
Health Research Policy and Systems
Realist review
Scoping review
Research utilisation
Knowledge mobilisation
Health policy
Capacity-building
author_facet Abby Haynes
Samantha J. Rowbotham
Sally Redman
Sue Brennan
Anna Williamson
Gabriel Moore
author_sort Abby Haynes
title 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_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_sort what can we learn from interventions that aim to increase policy-makers’ capacity to use research? a realist scoping review
publisher BMC
series Health Research Policy and Systems
issn 1478-4505
publishDate 2018-04-01
description Abstract 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.
topic Realist review
Scoping review
Research utilisation
Knowledge mobilisation
Health policy
Capacity-building
url http://link.springer.com/article/10.1186/s12961-018-0277-1
work_keys_str_mv AT abbyhaynes whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
AT samanthajrowbotham whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
AT sallyredman whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
AT suebrennan whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
AT annawilliamson whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
AT gabrielmoore whatcanwelearnfrominterventionsthataimtoincreasepolicymakerscapacitytouseresearcharealistscopingreview
_version_ 1725337725696999424