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How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy

BACKGROUND: Healthcare facilitation, an implementation strategy designed to improve the uptake of effective clinical innovations in routine practice, has produced promising yet mixed results in randomized implementation trials and has not been fully researched across different contexts. OBJECTIVE: U...

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Autores principales: Kilbourne, Amy M., Geng, Elvin, Eshun-Wilson, Ingrid, Sweeney, Shannon, Shelley, Donna, Cohen, Deborah J., Kirchner, JoAnn E., Fernandez, Maria E., Parchman, Michael L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10190070/
https://www.ncbi.nlm.nih.gov/pubmed/37194084
http://dx.doi.org/10.1186/s43058-023-00435-1
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author Kilbourne, Amy M.
Geng, Elvin
Eshun-Wilson, Ingrid
Sweeney, Shannon
Shelley, Donna
Cohen, Deborah J.
Kirchner, JoAnn E.
Fernandez, Maria E.
Parchman, Michael L.
author_facet Kilbourne, Amy M.
Geng, Elvin
Eshun-Wilson, Ingrid
Sweeney, Shannon
Shelley, Donna
Cohen, Deborah J.
Kirchner, JoAnn E.
Fernandez, Maria E.
Parchman, Michael L.
author_sort Kilbourne, Amy M.
collection PubMed
description BACKGROUND: Healthcare facilitation, an implementation strategy designed to improve the uptake of effective clinical innovations in routine practice, has produced promising yet mixed results in randomized implementation trials and has not been fully researched across different contexts. OBJECTIVE: Using mechanism mapping, which applies directed acyclic graphs that decompose an effect of interest into hypothesized causal steps and mechanisms, we propose a more concrete description of how healthcare facilitation works to inform its further study as a meta-implementation strategy. METHODS: Using a modified Delphi consensus process, co-authors developed the mechanistic map based on a three-step process. First, they developed an initial logic model by collectively reviewing the literature and identifying the most relevant studies of healthcare facilitation components and mechanisms to date. Second, they applied the logic model to write vignettes describing how facilitation worked (or did not) based on recent empirical trials that were selected via consensus for inclusion and diversity in contextual settings (US, international sites). Finally, the mechanistic map was created based on the collective findings from the vignettes. FINDINGS: Theory-based healthcare facilitation components informing the mechanistic map included staff engagement, role clarification, coalition-building through peer experiences and identifying champions, capacity-building through problem solving barriers, and organizational ownership of the implementation process. Across the vignettes, engagement of leaders and practitioners led to increased socialization of the facilitator’s role in the organization. This in turn led to clarifying of roles and responsibilities among practitioners and identifying peer experiences led to increased coherence and sense-making of the value of adopting effective innovations. Increased trust develops across leadership and practitioners through expanded capacity in adoption of the effective innovation by identifying opportunities that mitigated barriers to practice change. Finally, these mechanisms led to eventual normalization and ownership of the effective innovation and healthcare facilitation process. IMPACT: Mapping methodology provides a novel perspective of mechanisms of healthcare facilitation, notably how sensemaking, trust, and normalization contribute to quality improvement. This method may also enable more efficient and impactful hypothesis-testing and application of complex implementation strategies, with high relevance for lower-resourced settings, to inform effective innovation uptake. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-023-00435-1.
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spelling pubmed-101900702023-05-18 How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy Kilbourne, Amy M. Geng, Elvin Eshun-Wilson, Ingrid Sweeney, Shannon Shelley, Donna Cohen, Deborah J. Kirchner, JoAnn E. Fernandez, Maria E. Parchman, Michael L. Implement Sci Commun Methodology BACKGROUND: Healthcare facilitation, an implementation strategy designed to improve the uptake of effective clinical innovations in routine practice, has produced promising yet mixed results in randomized implementation trials and has not been fully researched across different contexts. OBJECTIVE: Using mechanism mapping, which applies directed acyclic graphs that decompose an effect of interest into hypothesized causal steps and mechanisms, we propose a more concrete description of how healthcare facilitation works to inform its further study as a meta-implementation strategy. METHODS: Using a modified Delphi consensus process, co-authors developed the mechanistic map based on a three-step process. First, they developed an initial logic model by collectively reviewing the literature and identifying the most relevant studies of healthcare facilitation components and mechanisms to date. Second, they applied the logic model to write vignettes describing how facilitation worked (or did not) based on recent empirical trials that were selected via consensus for inclusion and diversity in contextual settings (US, international sites). Finally, the mechanistic map was created based on the collective findings from the vignettes. FINDINGS: Theory-based healthcare facilitation components informing the mechanistic map included staff engagement, role clarification, coalition-building through peer experiences and identifying champions, capacity-building through problem solving barriers, and organizational ownership of the implementation process. Across the vignettes, engagement of leaders and practitioners led to increased socialization of the facilitator’s role in the organization. This in turn led to clarifying of roles and responsibilities among practitioners and identifying peer experiences led to increased coherence and sense-making of the value of adopting effective innovations. Increased trust develops across leadership and practitioners through expanded capacity in adoption of the effective innovation by identifying opportunities that mitigated barriers to practice change. Finally, these mechanisms led to eventual normalization and ownership of the effective innovation and healthcare facilitation process. IMPACT: Mapping methodology provides a novel perspective of mechanisms of healthcare facilitation, notably how sensemaking, trust, and normalization contribute to quality improvement. This method may also enable more efficient and impactful hypothesis-testing and application of complex implementation strategies, with high relevance for lower-resourced settings, to inform effective innovation uptake. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-023-00435-1. BioMed Central 2023-05-16 /pmc/articles/PMC10190070/ /pubmed/37194084 http://dx.doi.org/10.1186/s43058-023-00435-1 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Methodology
Kilbourne, Amy M.
Geng, Elvin
Eshun-Wilson, Ingrid
Sweeney, Shannon
Shelley, Donna
Cohen, Deborah J.
Kirchner, JoAnn E.
Fernandez, Maria E.
Parchman, Michael L.
How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title_full How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title_fullStr How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title_full_unstemmed How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title_short How does facilitation in healthcare work? Using mechanism mapping to illuminate the black box of a meta-implementation strategy
title_sort how does facilitation in healthcare work? using mechanism mapping to illuminate the black box of a meta-implementation strategy
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10190070/
https://www.ncbi.nlm.nih.gov/pubmed/37194084
http://dx.doi.org/10.1186/s43058-023-00435-1
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