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Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise

BACKGROUND: Audit and feedback (A&F) interventions are one of the most common approaches for implementing evidence-based practices. A key barrier to more effective A&F interventions is the lack of a theory-guided approach to the accumulation of evidence. Recent interviews with theory experts...

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Autores principales: Colquhoun, Heather L., Carroll, Kelly, Eva, Kevin W., Grimshaw, Jeremy M., Ivers, Noah, Michie, Susan, Brehaut, Jamie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805176/
https://www.ncbi.nlm.nih.gov/pubmed/33435873
http://dx.doi.org/10.1186/s12874-020-01195-5
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author Colquhoun, Heather L.
Carroll, Kelly
Eva, Kevin W.
Grimshaw, Jeremy M.
Ivers, Noah
Michie, Susan
Brehaut, Jamie C.
author_facet Colquhoun, Heather L.
Carroll, Kelly
Eva, Kevin W.
Grimshaw, Jeremy M.
Ivers, Noah
Michie, Susan
Brehaut, Jamie C.
author_sort Colquhoun, Heather L.
collection PubMed
description BACKGROUND: Audit and feedback (A&F) interventions are one of the most common approaches for implementing evidence-based practices. A key barrier to more effective A&F interventions is the lack of a theory-guided approach to the accumulation of evidence. Recent interviews with theory experts identified 313 theory-informed hypotheses, spread across 30 themes, about how to create more effective A&F interventions. In the current survey, we sought to elicit from stakeholders which hypotheses were most likely to advance the field if studied further. METHODS: From the list of 313, three members of the research team identified 216 that were clear and distinguishable enough for prioritization. A web-based survey was then sent to 211 A&F intervention stakeholders asking them to choose up to 50 ‘priority’ hypotheses following the header “A&F interventions will be more effective if…”. Analyses included frequencies of endorsement of the individual hypotheses and themes into which they were grouped. RESULTS: 68 of the 211 invited participants responded to the survey. Seven hypotheses were chosen by > 50% of respondents, including A&F interventions will be more effective… “if feedback is provided by a trusted source”; “if recipients are involved in the design/development of the feedback intervention”; “if recommendations related to the feedback are based on good quality evidence”; “if the behaviour is under the control of the recipient”; “if it addresses barriers and facilitators (drivers) to behaviour change”; “if it suggests clear action plans”; and “if target/goal/optimal rates are clear and explicit”. The most endorsed theme was Recipient Priorities (four hypotheses were chosen 92 times as a ‘priority’ hypotheses). CONCLUSIONS: This work determined a set of hypotheses thought by respondents to be to be most likely to advance the field through future A&F intervention research. This work can inform a coordinated research agenda that may more efficiently lead to more effective A&F interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01195-5.
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spelling pubmed-78051762021-01-14 Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise Colquhoun, Heather L. Carroll, Kelly Eva, Kevin W. Grimshaw, Jeremy M. Ivers, Noah Michie, Susan Brehaut, Jamie C. BMC Med Res Methodol Research Article BACKGROUND: Audit and feedback (A&F) interventions are one of the most common approaches for implementing evidence-based practices. A key barrier to more effective A&F interventions is the lack of a theory-guided approach to the accumulation of evidence. Recent interviews with theory experts identified 313 theory-informed hypotheses, spread across 30 themes, about how to create more effective A&F interventions. In the current survey, we sought to elicit from stakeholders which hypotheses were most likely to advance the field if studied further. METHODS: From the list of 313, three members of the research team identified 216 that were clear and distinguishable enough for prioritization. A web-based survey was then sent to 211 A&F intervention stakeholders asking them to choose up to 50 ‘priority’ hypotheses following the header “A&F interventions will be more effective if…”. Analyses included frequencies of endorsement of the individual hypotheses and themes into which they were grouped. RESULTS: 68 of the 211 invited participants responded to the survey. Seven hypotheses were chosen by > 50% of respondents, including A&F interventions will be more effective… “if feedback is provided by a trusted source”; “if recipients are involved in the design/development of the feedback intervention”; “if recommendations related to the feedback are based on good quality evidence”; “if the behaviour is under the control of the recipient”; “if it addresses barriers and facilitators (drivers) to behaviour change”; “if it suggests clear action plans”; and “if target/goal/optimal rates are clear and explicit”. The most endorsed theme was Recipient Priorities (four hypotheses were chosen 92 times as a ‘priority’ hypotheses). CONCLUSIONS: This work determined a set of hypotheses thought by respondents to be to be most likely to advance the field through future A&F intervention research. This work can inform a coordinated research agenda that may more efficiently lead to more effective A&F interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01195-5. BioMed Central 2021-01-13 /pmc/articles/PMC7805176/ /pubmed/33435873 http://dx.doi.org/10.1186/s12874-020-01195-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Colquhoun, Heather L.
Carroll, Kelly
Eva, Kevin W.
Grimshaw, Jeremy M.
Ivers, Noah
Michie, Susan
Brehaut, Jamie C.
Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title_full Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title_fullStr Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title_full_unstemmed Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title_short Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
title_sort informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805176/
https://www.ncbi.nlm.nih.gov/pubmed/33435873
http://dx.doi.org/10.1186/s12874-020-01195-5
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