Rebecca B Naumann1, Anna E Austin2, Laura Sheble3,4, Kristen Hassmiller Lich5. 1. Department of Epidemiology and Injury Prevention Research Center, University of North Carolina at Chapel Hill. 2. Department of Maternal and Child Health and Injury Prevention Research Center, University of North Carolina at Chapel Hill. 3. School of Information Sciences, Wayne State University. 4. Duke Network Analysis Center, Social Science Research Institute, Duke University. 5. Department of Health Policy and Management, University of North Carolina at Chapel Hill.
Abstract
PURPOSE OF REVIEW: System dynamics (SD) is an approach to solving problems in the context of dynamic complexity. The purpose of this review was to summarize SD applications in injury prevention and highlight opportunities for SD to contribute to injury prevention research and practice. RECENT FINDINGS: While SD has been increasingly used to study public health problems over the last few decades, uptake in the injury field has been slow. We identified 18 studies, mostly conducted in the last 10 years. Applications covered a range of topics (e.g., road traffic injury; overdose; violence), employed different types of SD tools (i.e., qualitative and quantitative), and served a variety of research and practice purposes (e.g., deepen understanding of a problem, policy analysis). SUMMARY: Given the many ways that SD can add value and complement traditional research and practice approaches (e.g., through novel stakeholder engagement and policy analysis tools), increased investment in SD-related capacity building and opportunities that support SD use are warranted.
PURPOSE OF REVIEW: System dynamics (SD) is an approach to solving problems in the context of dynamic complexity. The purpose of this review was to summarize SD applications in injury prevention and highlight opportunities for SD to contribute to injury prevention research and practice. RECENT FINDINGS: While SD has been increasingly used to study public health problems over the last few decades, uptake in the injury field has been slow. We identified 18 studies, mostly conducted in the last 10 years. Applications covered a range of topics (e.g., road traffic injury; overdose; violence), employed different types of SD tools (i.e., qualitative and quantitative), and served a variety of research and practice purposes (e.g., deepen understanding of a problem, policy analysis). SUMMARY: Given the many ways that SD can add value and complement traditional research and practice approaches (e.g., through novel stakeholder engagement and policy analysis tools), increased investment in SD-related capacity building and opportunities that support SD use are warranted.
Entities:
Keywords:
complexity; injury; simulation; system dynamics; systems; violence
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