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Participatory system dynamics in implementation science practice: a scoping review of methods, contexts and outcomes
Lauren Caton1, Lindsey Zimmerman2,3, Anna Kahkoska4
1Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA catonlauren@gmail.com.
Participatory system dynamics (PSD) aids implementation science (IS) by clarifying how to address contextual factors in quality improvement. This review shows PSD enhances understanding of implementation challenges and strategies.
Area of Science:
- Implementation Science
- Systems Science
- Health Services Research
Background:
- Recent integration of participatory system dynamics (PSD) and implementation science (IS) in the USA.
- Scoping review of PSD applications in IS studies.
- Focus on understanding determinants of implementation outcomes for quality improvement.
Purpose of the Study:
- Illustrate how and why PSD modeling enhances understanding of implementation determinants.
- Document PSD applications within IS.
- Identify the role of PSD in quality improvement initiatives.
Main Methods:
- Searched PubMed and PsycInfo for PSD, IS, and related terms.
- Included USA-based empirical studies with synchronous participatory modeling activities.
- Included studies where PSD was an implementation research method or practice strategy.
Main Results:
- Most studies (7/9) investigated PSD as an intervention to understand implementation problems.
- Four studies used PSD to understand evidence-based practice implementation.
- Three studies used PSD to select IS strategies; most were case studies on feasibility and knowledge translation.
Conclusions:
- Clarify PSD's role as a method or strategy for uncovering contextual determinants in implementation research.
- Leverage PSD's potential for participant buy-in and problem definition to understand temporal determinants.
- Improve alignment between PSD, participatory theory, and IS phases/outcomes for stronger evaluation.
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