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Background: Implementation strategies used to enhance the implementation of interventions during efficacy and effectiveness studies are rarely reported. Tracking and reporting implementation strategies during these phases has potential to improve future research studies and real-world implementation. We present an exemplar of how this might be executed by specifying and reporting the implementation strategies that were used during a school-based efficacy trial, Project POWER, which tested a trauma-informed prevention program delivered by a university research team, community members, and school staff facilitators in 29 schools.
Methods: Following the conclusion of the 4-year trial, core Project POWER research team members identified the implementation strategies that supported intervention delivery during the trial using an established taxonomy of school-based implementation strategies. The actors, actions, action targets, temporality, dose, and implementation outcomes were specified using established implementation strategies reporting guidelines.
Results: The research team identified 37 implementation strategies that were used during the Project POWER trial. Most strategies fell within the categories of Train and Educate Stakeholders, Use Evaluative and Iterative Strategies, and Develop Stakeholder Interrelationships. Actors included members of the research team and partner schools. Strategies were used multiple times during the preparation and implementation phases. Action targets were most often characteristics of individuals, implementation process, and characteristics of the inner setting. Strategies predominantly targeted the implementation outcomes of fidelity, acceptability, feasibility, and adoption.
Conclusions: This study provided evidence that implementation strategies are used and can be identified in efficacy research using a retrospective approach. Identifying and specifying implementation strategies used during the initial phases of the translational research pipeline can inform the implementation strategies that are carried forward, adapted, or discontinued in future trials and routine practice to improve implementation and effectiveness outcomes.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577529 | PMC |
http://dx.doi.org/10.1177/26334895211047841 | DOI Listing |
J Womens Health (Larchmt)
September 2025
Center for Health Behavior & Implementation Science, RTI International, Oakland, California, USA.
Alcohol's secondhand effects include violence, financial problems, and emotional abuse. We examined mental health among adult women with a heavy drinker in their life. Using a sample of 1,503 women (13.
View Article and Find Full Text PDFBiotechnol Appl Biochem
September 2025
NICU, Shanxi Medical University 56 Xinjian South Road, Taiyuan City, China.
A common problem among preterm newborns is extrauterine growth restriction, or EUGR. The Evidence-based Practice for Improving Quality (EPIQ) strategy aims to reduce EUGR and enhance growth outcomes in neonatal intensive care units (NICUs). The objective of this study is to assess whether implementing EPIQ-based quality improvement interventions is associated with reduced EUGR among preterm infants (< 34 weeks gestation) in a before-after observational study.
View Article and Find Full Text PDFHealth Serv Res
September 2025
Begun Center for Violence Prevention Research and Education, Jack, Joseph and Morton Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, Ohio, USA.
Objective: To explore the experiences of providers from two community behavioral health agencies involved in the implementation of Certified Community Behavioral Health Clinics (CCBHCs).
Study Setting And Design: This qualitative study was conducted as part of a larger evaluation of CCBHC implementation outcomes in two community-based behavioral health agencies. Ninety-one participants, including case managers, counselors, care coordinators, and leadership teams from both agencies, participated in focus group discussions to share their experiences regarding the implementation of the CCBHC model within their organizations.
Ren Fail
December 2025
Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Large language models (LLMs) represent a transformative advance in artificial intelligence, with growing potential to impact chronic kidney disease (CKD) management. CKD is a complex, highly prevalent condition requiring multifaceted care and substantial patient engagement. Recent developments in LLMs-including conversational AI, multimodal integration, and autonomous agents-offer novel opportunities to enhance patient education, streamline clinical documentation, and support decision-making across nephrology practice.
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