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Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses
BACKGROUND: Audit and feedback (A&F) is a common strategy for helping health providers to implement evidence into practice. Despite being extensively studied, health care A&F interventions remain variably effective, with overall effect sizes that have not improved since 2003. Contributing to...
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/PMC5622490/ https://www.ncbi.nlm.nih.gov/pubmed/28962632 http://dx.doi.org/10.1186/s13012-017-0646-0 |
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author | Colquhoun, Heather L. Carroll, Kelly Eva, Kevin W. Grimshaw, Jeremy M. Ivers, Noah Michie, Susan Sales, Anne Brehaut, Jamie C. |
author_facet | Colquhoun, Heather L. Carroll, Kelly Eva, Kevin W. Grimshaw, Jeremy M. Ivers, Noah Michie, Susan Sales, Anne Brehaut, Jamie C. |
author_sort | Colquhoun, Heather L. |
collection | PubMed |
description | BACKGROUND: Audit and feedback (A&F) is a common strategy for helping health providers to implement evidence into practice. Despite being extensively studied, health care A&F interventions remain variably effective, with overall effect sizes that have not improved since 2003. Contributing to this stagnation is the fact that most health care A&F interventions have largely been designed without being informed by theoretical understanding from the behavioral and social sciences. To determine if the trend can be improved, the objective of this study was to develop a list of testable, theory-informed hypotheses about how to design more effective A&F interventions. METHODS: Using purposive sampling, semi-structured 60–90-min telephone interviews were conducted with experts in theories related to A&F from a range of fields (e.g., cognitive, health and organizational psychology, medical decision-making, economics). Guided by detailed descriptions of A&F interventions from the health care literature, interviewees described how they would approach the problem of designing improved A&F interventions. Specific, theory-informed hypotheses about the conditions for effective design and delivery of A&F interventions were elicited from the interviews. The resulting hypotheses were assigned by three coders working independently into themes, and categories of themes, in an iterative process. RESULTS: We conducted 28 interviews and identified 313 theory-informed hypotheses, which were placed into 30 themes. The 30 themes included hypotheses related to the following five categories: A&F recipient (seven themes), content of the A&F (ten themes), process of delivery of the A&F (six themes), behavior that was the focus of the A&F (three themes), and other (four themes). CONCLUSIONS: We have identified a set of testable, theory-informed hypotheses from a broad range of behavioral and social science that suggest conditions for more effective A&F interventions. This work demonstrates the breadth of perspectives about A&F from non-healthcare-specific disciplines in a way that yields testable hypotheses for healthcare A&F interventions. These results will serve as the foundation for further work seeking to set research priorities among the A&F research community. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13012-017-0646-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5622490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56224902017-10-11 Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses Colquhoun, Heather L. Carroll, Kelly Eva, Kevin W. Grimshaw, Jeremy M. Ivers, Noah Michie, Susan Sales, Anne Brehaut, Jamie C. Implement Sci Research BACKGROUND: Audit and feedback (A&F) is a common strategy for helping health providers to implement evidence into practice. Despite being extensively studied, health care A&F interventions remain variably effective, with overall effect sizes that have not improved since 2003. Contributing to this stagnation is the fact that most health care A&F interventions have largely been designed without being informed by theoretical understanding from the behavioral and social sciences. To determine if the trend can be improved, the objective of this study was to develop a list of testable, theory-informed hypotheses about how to design more effective A&F interventions. METHODS: Using purposive sampling, semi-structured 60–90-min telephone interviews were conducted with experts in theories related to A&F from a range of fields (e.g., cognitive, health and organizational psychology, medical decision-making, economics). Guided by detailed descriptions of A&F interventions from the health care literature, interviewees described how they would approach the problem of designing improved A&F interventions. Specific, theory-informed hypotheses about the conditions for effective design and delivery of A&F interventions were elicited from the interviews. The resulting hypotheses were assigned by three coders working independently into themes, and categories of themes, in an iterative process. RESULTS: We conducted 28 interviews and identified 313 theory-informed hypotheses, which were placed into 30 themes. The 30 themes included hypotheses related to the following five categories: A&F recipient (seven themes), content of the A&F (ten themes), process of delivery of the A&F (six themes), behavior that was the focus of the A&F (three themes), and other (four themes). CONCLUSIONS: We have identified a set of testable, theory-informed hypotheses from a broad range of behavioral and social science that suggest conditions for more effective A&F interventions. This work demonstrates the breadth of perspectives about A&F from non-healthcare-specific disciplines in a way that yields testable hypotheses for healthcare A&F interventions. These results will serve as the foundation for further work seeking to set research priorities among the A&F research community. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13012-017-0646-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-29 /pmc/articles/PMC5622490/ /pubmed/28962632 http://dx.doi.org/10.1186/s13012-017-0646-0 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 Colquhoun, Heather L. Carroll, Kelly Eva, Kevin W. Grimshaw, Jeremy M. Ivers, Noah Michie, Susan Sales, Anne Brehaut, Jamie C. Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title | Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title_full | Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title_fullStr | Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title_full_unstemmed | Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title_short | Advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
title_sort | advancing the literature on designing audit and feedback interventions: identifying theory-informed hypotheses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5622490/ https://www.ncbi.nlm.nih.gov/pubmed/28962632 http://dx.doi.org/10.1186/s13012-017-0646-0 |
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