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Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome

BACKGROUND: Precision implementation science requires methods to evaluate and select implementation strategies. This study developed and evaluated a novel measure of concordance between current and preferred dissemination channels (DC) and implementation strategies (IS) to guide efforts to improve t...

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Autores principales: Ashcraft, Laura Ellen, Moon, Deborah J., Merlin, Jessica S., Eack, Shaun M., Rogal, Shari S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733293/
https://www.ncbi.nlm.nih.gov/pubmed/36494841
http://dx.doi.org/10.1186/s43058-022-00378-z
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author Ashcraft, Laura Ellen
Moon, Deborah J.
Merlin, Jessica S.
Eack, Shaun M.
Rogal, Shari S.
author_facet Ashcraft, Laura Ellen
Moon, Deborah J.
Merlin, Jessica S.
Eack, Shaun M.
Rogal, Shari S.
author_sort Ashcraft, Laura Ellen
collection PubMed
description BACKGROUND: Precision implementation science requires methods to evaluate and select implementation strategies. This study developed and evaluated a novel measure of concordance between current and preferred dissemination channels (DC) and implementation strategies (IS) to guide efforts to improve the adoption of evidence-based management strategies for chronic pain. METHODS: We conducted a one-time electronic survey of Pennsylvania primary care practitioners (PCPs) about current vs. preferred chronic pain management DC and IS use. Survey items were selected based on preliminary data, the Model for Dissemination of Research, and the Evidence-Based Recommendations for Implementing Change taxonomy of implementation strategies. We used Cohen’s kappa (κ) to assess the agreement between participant-level current and preferred DC/IS. We calculated % preferred minus % experienced for each DC/IS and assessed the equality of proportions to determine whether this difference significantly departed from zero. We categorized DC and IS based on the degree of use and preference, to evaluate alignment. RESULTS: The current sample included 101 Pennsylvania PCPs primarily in urban (94.06%), non-academic (90.10%) settings who self-identified as mostly female (66.34%) and white (85.15%). The greatest difference between preferred and experienced DCs, or “need,” was identified by participants as workshops, clinical experts, seminars, and researchers. Similarly, participants reported the greatest IS gaps as multidisciplinary chronic pain workgroups, targeted support for clinicians, and a chronic pain clinical champion. Participating PCPs had moderate DC concordance (kappa = 0.45, 95% CI = 0.38–0.52) and low IS concordance (kappa = 0.18, 95% CI = 0.13–0.23). DC and IS concordance were both greater than that expected by chance. We further identified well-aligned DC and IS, including professional organizations, briefs, and guidelines. CONCLUSION: We identified a novel implementer-reported outcome of dissemination channel and implementation strategy concordance that allows implementation scientists to quantify the magnitude of the gap between the current and preferred experience of implementers. This quantitative measure can help with the selection and evaluation of dissemination channels and implementation strategies. Future research should leverage this measure to understand the degree to which preference concordance influences clinical outcomes and performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00378-z.
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spelling pubmed-97332932022-12-10 Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome Ashcraft, Laura Ellen Moon, Deborah J. Merlin, Jessica S. Eack, Shaun M. Rogal, Shari S. Implement Sci Commun Methodology BACKGROUND: Precision implementation science requires methods to evaluate and select implementation strategies. This study developed and evaluated a novel measure of concordance between current and preferred dissemination channels (DC) and implementation strategies (IS) to guide efforts to improve the adoption of evidence-based management strategies for chronic pain. METHODS: We conducted a one-time electronic survey of Pennsylvania primary care practitioners (PCPs) about current vs. preferred chronic pain management DC and IS use. Survey items were selected based on preliminary data, the Model for Dissemination of Research, and the Evidence-Based Recommendations for Implementing Change taxonomy of implementation strategies. We used Cohen’s kappa (κ) to assess the agreement between participant-level current and preferred DC/IS. We calculated % preferred minus % experienced for each DC/IS and assessed the equality of proportions to determine whether this difference significantly departed from zero. We categorized DC and IS based on the degree of use and preference, to evaluate alignment. RESULTS: The current sample included 101 Pennsylvania PCPs primarily in urban (94.06%), non-academic (90.10%) settings who self-identified as mostly female (66.34%) and white (85.15%). The greatest difference between preferred and experienced DCs, or “need,” was identified by participants as workshops, clinical experts, seminars, and researchers. Similarly, participants reported the greatest IS gaps as multidisciplinary chronic pain workgroups, targeted support for clinicians, and a chronic pain clinical champion. Participating PCPs had moderate DC concordance (kappa = 0.45, 95% CI = 0.38–0.52) and low IS concordance (kappa = 0.18, 95% CI = 0.13–0.23). DC and IS concordance were both greater than that expected by chance. We further identified well-aligned DC and IS, including professional organizations, briefs, and guidelines. CONCLUSION: We identified a novel implementer-reported outcome of dissemination channel and implementation strategy concordance that allows implementation scientists to quantify the magnitude of the gap between the current and preferred experience of implementers. This quantitative measure can help with the selection and evaluation of dissemination channels and implementation strategies. Future research should leverage this measure to understand the degree to which preference concordance influences clinical outcomes and performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00378-z. BioMed Central 2022-12-09 /pmc/articles/PMC9733293/ /pubmed/36494841 http://dx.doi.org/10.1186/s43058-022-00378-z Text en © The Author(s) 2022 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 Methodology
Ashcraft, Laura Ellen
Moon, Deborah J.
Merlin, Jessica S.
Eack, Shaun M.
Rogal, Shari S.
Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title_full Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title_fullStr Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title_full_unstemmed Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title_short Quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
title_sort quantifying implementation strategy and dissemination channel preferences and experiences for pain management in primary care: a novel implementer-reported outcome
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733293/
https://www.ncbi.nlm.nih.gov/pubmed/36494841
http://dx.doi.org/10.1186/s43058-022-00378-z
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