TY - JOUR
T1 - Developing a toolkit to implement the Statin Choice Conversation Aid at scale
T2 - Application of a work reduction model
AU - Leppin, Aaron L.
AU - Boehmer, Kasey R.
AU - Branda, Megan E.
AU - Shah, Nilay D.
AU - Hargraves, Ian
AU - Dick, Sara
AU - Elwyn, Glyn
AU - Ting, Henry H.
AU - Ye, Siqin
AU - Gilles, Ryan
AU - Abbas, Marghoob
AU - Alexander, Alex
AU - Montori, Victor M.
N1 - Funding Information:
This publication was made possible by CTSA Grant Number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH) and Dr. Ye’s contribution was made possible by a K23 award (NIH K23 HL121144). This publication’s contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH.
Publisher Copyright:
© 2019 The Author(s).
PY - 2019/4/24
Y1 - 2019/4/24
N2 - 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.
AB - 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.
KW - Implementation
KW - Implementation strategies
KW - Implementation toolkit
KW - Scale-up
KW - Shared decision making
KW - Spread
KW - Statin choice conversation aid
KW - Statin choice decision aid
KW - Statins
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U2 - 10.1186/s12913-019-4055-8
DO - 10.1186/s12913-019-4055-8
M3 - Article
C2 - 31018840
AN - SCOPUS:85065323367
SN - 1472-6963
VL - 19
JO - BMC Health Services Research
JF - BMC Health Services Research
IS - 1
M1 - 249
ER -