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Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model

BACKGROUND: Guidelines recommend shared decision making (SDM) for determining whether to use statins to prevent cardiovascular events in at-risk patients. We sought to develop a toolkit to facilitate the cross-organizational spread and scale of a SDM intervention called the Statin Choice Conversatio...

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Autores principales: Leppin, Aaron L., Boehmer, Kasey R., Branda, Megan E., Shah, Nilay D., Hargraves, Ian, Dick, Sara, Elwyn, Glyn, Ting, Henry H., Ye, Siqin, Gilles, Ryan, Abbas, Marghoob, Alexander, Alex, Montori, Victor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480421/
https://www.ncbi.nlm.nih.gov/pubmed/31018840
http://dx.doi.org/10.1186/s12913-019-4055-8
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author Leppin, Aaron L.
Boehmer, Kasey R.
Branda, Megan E.
Shah, Nilay D.
Hargraves, Ian
Dick, Sara
Elwyn, Glyn
Ting, Henry H.
Ye, Siqin
Gilles, Ryan
Abbas, Marghoob
Alexander, Alex
Montori, Victor M.
author_facet Leppin, Aaron L.
Boehmer, Kasey R.
Branda, Megan E.
Shah, Nilay D.
Hargraves, Ian
Dick, Sara
Elwyn, Glyn
Ting, Henry H.
Ye, Siqin
Gilles, Ryan
Abbas, Marghoob
Alexander, Alex
Montori, Victor M.
author_sort Leppin, Aaron L.
collection PubMed
description BACKGROUND: Guidelines recommend shared decision making (SDM) for determining whether to use statins to prevent cardiovascular events in at-risk patients. We sought to develop a toolkit to facilitate the cross-organizational spread and scale of a SDM intervention called the Statin Choice Conversation Aid (SCCA) by (i) assessing the work stakeholders must do to implement the tool; and (ii) orienting the resulting toolkit’s components to communicate and mitigate this work. METHODS: We conducted multi-level and mixed methods (survey, interview, observation, focus group) characterizations of the contexts of 3 health systems (n = 86, 84, and 26 primary care clinicians) as they pertained to the impending implementation of the SCCA. We merged the data within implementation outcome domains of feasibility, appropriateness, and acceptability. Using Normalization Process Theory, we then characterized and categorized the work stakeholders did to implement the tool. We used clinician surveys and IP address-based tracking to calculate SCCA usage over time and judged how stakeholder effort was allocated to influence outcomes at 6 and 18 months. After assessing the types and impact of the work, we developed a multi-component toolkit. RESULTS: At baseline, the three contexts differed regarding feasibility, acceptability, and appropriateness of implementation. The work of adopting the tool was allocated across many strategies in complex and interdependent ways to optimize these domains. The two systems that allocated the work strategically had higher uptake (5.2 and 2.9 vs. 1.1 uses per clinician per month at 6 months; 3.8 and 2.1 vs. 0.4 at 18 months, respectively) than the system that did not. The resulting toolkit included context self-assessments intended to guide stakeholders in considering the early work of SCCA implementation; and webinars, EMR integration guides, video demonstrations, and an implementation team manual aimed at supporting this work. CONCLUSIONS: We developed a multi-component toolkit for facilitating the scale-up and spread of a tool to promote SDM across clinical settings. The theory-based approach we employed aimed to distinguish systems primed for adoption and support the work they must do to achieve implementation. Our approach may have value in orienting the development of multi-component toolkits and other strategies aimed at facilitating the efficient scale up of interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02375815. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4055-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-64804212019-05-01 Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model Leppin, Aaron L. Boehmer, Kasey R. Branda, Megan E. Shah, Nilay D. Hargraves, Ian Dick, Sara Elwyn, Glyn Ting, Henry H. Ye, Siqin Gilles, Ryan Abbas, Marghoob Alexander, Alex Montori, Victor M. BMC Health Serv Res Research Article BACKGROUND: Guidelines recommend shared decision making (SDM) for determining whether to use statins to prevent cardiovascular events in at-risk patients. We sought to develop a toolkit to facilitate the cross-organizational spread and scale of a SDM intervention called the Statin Choice Conversation Aid (SCCA) by (i) assessing the work stakeholders must do to implement the tool; and (ii) orienting the resulting toolkit’s components to communicate and mitigate this work. METHODS: We conducted multi-level and mixed methods (survey, interview, observation, focus group) characterizations of the contexts of 3 health systems (n = 86, 84, and 26 primary care clinicians) as they pertained to the impending implementation of the SCCA. We merged the data within implementation outcome domains of feasibility, appropriateness, and acceptability. Using Normalization Process Theory, we then characterized and categorized the work stakeholders did to implement the tool. We used clinician surveys and IP address-based tracking to calculate SCCA usage over time and judged how stakeholder effort was allocated to influence outcomes at 6 and 18 months. After assessing the types and impact of the work, we developed a multi-component toolkit. RESULTS: At baseline, the three contexts differed regarding feasibility, acceptability, and appropriateness of implementation. The work of adopting the tool was allocated across many strategies in complex and interdependent ways to optimize these domains. The two systems that allocated the work strategically had higher uptake (5.2 and 2.9 vs. 1.1 uses per clinician per month at 6 months; 3.8 and 2.1 vs. 0.4 at 18 months, respectively) than the system that did not. The resulting toolkit included context self-assessments intended to guide stakeholders in considering the early work of SCCA implementation; and webinars, EMR integration guides, video demonstrations, and an implementation team manual aimed at supporting this work. CONCLUSIONS: We developed a multi-component toolkit for facilitating the scale-up and spread of a tool to promote SDM across clinical settings. The theory-based approach we employed aimed to distinguish systems primed for adoption and support the work they must do to achieve implementation. Our approach may have value in orienting the development of multi-component toolkits and other strategies aimed at facilitating the efficient scale up of interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02375815. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4055-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-24 /pmc/articles/PMC6480421/ /pubmed/31018840 http://dx.doi.org/10.1186/s12913-019-4055-8 Text en © The Author(s). 2019 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 Article
Leppin, Aaron L.
Boehmer, Kasey R.
Branda, Megan E.
Shah, Nilay D.
Hargraves, Ian
Dick, Sara
Elwyn, Glyn
Ting, Henry H.
Ye, Siqin
Gilles, Ryan
Abbas, Marghoob
Alexander, Alex
Montori, Victor M.
Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title_full Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title_fullStr Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title_full_unstemmed Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title_short Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model
title_sort developing a toolkit to implement the statin choice conversation aid at scale: application of a work reduction model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480421/
https://www.ncbi.nlm.nih.gov/pubmed/31018840
http://dx.doi.org/10.1186/s12913-019-4055-8
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