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Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation

BACKGROUND: While audit & feedback (A&F) is an effective implementation intervention, the design elements which maximize effectiveness are unclear. Partnering with a healthcare quality advisory organization already delivering feedback, we conducted a pragmatic, 2 × 2 factorial, cluster-rando...

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Autores principales: McCleary, Nicola, Desveaux, Laura, Presseau, Justin, Reis, Catherine, Witteman, Holly O., Taljaard, Monica, Linklater, Stefanie, Thavorn, Kednapa, Dobell, Gail, Mulhall, Cara L., Lam, Jonathan M. C., Grimshaw, Jeremy M., Ivers, Noah M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173488/
https://www.ncbi.nlm.nih.gov/pubmed/37165413
http://dx.doi.org/10.1186/s13012-023-01271-6
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author McCleary, Nicola
Desveaux, Laura
Presseau, Justin
Reis, Catherine
Witteman, Holly O.
Taljaard, Monica
Linklater, Stefanie
Thavorn, Kednapa
Dobell, Gail
Mulhall, Cara L.
Lam, Jonathan M. C.
Grimshaw, Jeremy M.
Ivers, Noah M.
author_facet McCleary, Nicola
Desveaux, Laura
Presseau, Justin
Reis, Catherine
Witteman, Holly O.
Taljaard, Monica
Linklater, Stefanie
Thavorn, Kednapa
Dobell, Gail
Mulhall, Cara L.
Lam, Jonathan M. C.
Grimshaw, Jeremy M.
Ivers, Noah M.
author_sort McCleary, Nicola
collection PubMed
description BACKGROUND: While audit & feedback (A&F) is an effective implementation intervention, the design elements which maximize effectiveness are unclear. Partnering with a healthcare quality advisory organization already delivering feedback, we conducted a pragmatic, 2 × 2 factorial, cluster-randomized trial to test the impact of variations in two factors: (A) the benchmark used for comparison and (B) information framing. An embedded process evaluation explored hypothesized mechanisms of effect. METHODS: Eligible physicians worked in nursing homes in Ontario, Canada, and had voluntarily signed up to receive the report. Groups of nursing homes sharing physicians were randomized to (A) physicians’ individual prescribing rates compared to top-performing peers (the top quartile) or the provincial median and (B) risk-framed information (reporting the number of patients prescribed high-risk medication) or benefit-framed information (reporting the number of patients not prescribed). We hypothesized that the top quartile comparator and risk-framing would lead to greater practice improvements. The primary outcome was the mean number of central nervous system-active medications per resident per month. Primary analyses compared the four arms at 6 months post-intervention. Factorial analyses were secondary. The process evaluation comprised a follow-up questionnaire and semi-structured interviews. RESULTS: Two hundred sixty-seven physicians (152 clusters) were randomized: 67 to arm 1 (median benchmark, benefit framing), 65 to arm 2 (top quartile benchmark, benefit framing), 75 to arm 3 (median benchmark, risk framing), and 60 to arm 4 (top quartile benchmark, risk framing). There were no significant differences in the primary outcome across arms or for each factor. However, engagement was low (27–31% of physicians across arms downloaded the report). The process evaluation indicated that both factors minimally impacted the proposed mechanisms. However, risk-framed feedback was perceived as more actionable and more compatible with current workflows, whilst a higher target might encourage behaviour change when physicians identified with the comparator. CONCLUSIONS: Risk framing and a top quartile comparator have the potential to achieve change. Further work to establish the strategies most likely to enhance A&F engagement, particularly with physicians who may be most likely to benefit from feedback, is required to support meaningfully addressing intricate research questions concerning the design of A&F. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02979964. Registered 29 November 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01271-6.
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spelling pubmed-101734882023-05-12 Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation McCleary, Nicola Desveaux, Laura Presseau, Justin Reis, Catherine Witteman, Holly O. Taljaard, Monica Linklater, Stefanie Thavorn, Kednapa Dobell, Gail Mulhall, Cara L. Lam, Jonathan M. C. Grimshaw, Jeremy M. Ivers, Noah M. Implement Sci Research BACKGROUND: While audit & feedback (A&F) is an effective implementation intervention, the design elements which maximize effectiveness are unclear. Partnering with a healthcare quality advisory organization already delivering feedback, we conducted a pragmatic, 2 × 2 factorial, cluster-randomized trial to test the impact of variations in two factors: (A) the benchmark used for comparison and (B) information framing. An embedded process evaluation explored hypothesized mechanisms of effect. METHODS: Eligible physicians worked in nursing homes in Ontario, Canada, and had voluntarily signed up to receive the report. Groups of nursing homes sharing physicians were randomized to (A) physicians’ individual prescribing rates compared to top-performing peers (the top quartile) or the provincial median and (B) risk-framed information (reporting the number of patients prescribed high-risk medication) or benefit-framed information (reporting the number of patients not prescribed). We hypothesized that the top quartile comparator and risk-framing would lead to greater practice improvements. The primary outcome was the mean number of central nervous system-active medications per resident per month. Primary analyses compared the four arms at 6 months post-intervention. Factorial analyses were secondary. The process evaluation comprised a follow-up questionnaire and semi-structured interviews. RESULTS: Two hundred sixty-seven physicians (152 clusters) were randomized: 67 to arm 1 (median benchmark, benefit framing), 65 to arm 2 (top quartile benchmark, benefit framing), 75 to arm 3 (median benchmark, risk framing), and 60 to arm 4 (top quartile benchmark, risk framing). There were no significant differences in the primary outcome across arms or for each factor. However, engagement was low (27–31% of physicians across arms downloaded the report). The process evaluation indicated that both factors minimally impacted the proposed mechanisms. However, risk-framed feedback was perceived as more actionable and more compatible with current workflows, whilst a higher target might encourage behaviour change when physicians identified with the comparator. CONCLUSIONS: Risk framing and a top quartile comparator have the potential to achieve change. Further work to establish the strategies most likely to enhance A&F engagement, particularly with physicians who may be most likely to benefit from feedback, is required to support meaningfully addressing intricate research questions concerning the design of A&F. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02979964. Registered 29 November 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13012-023-01271-6. BioMed Central 2023-05-10 /pmc/articles/PMC10173488/ /pubmed/37165413 http://dx.doi.org/10.1186/s13012-023-01271-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
McCleary, Nicola
Desveaux, Laura
Presseau, Justin
Reis, Catherine
Witteman, Holly O.
Taljaard, Monica
Linklater, Stefanie
Thavorn, Kednapa
Dobell, Gail
Mulhall, Cara L.
Lam, Jonathan M. C.
Grimshaw, Jeremy M.
Ivers, Noah M.
Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title_full Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title_fullStr Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title_full_unstemmed Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title_short Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
title_sort engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173488/
https://www.ncbi.nlm.nih.gov/pubmed/37165413
http://dx.doi.org/10.1186/s13012-023-01271-6
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