Moving alcohol prevention research forward-Part II: new directions grounded in community-based system dynamics modeling

Addiction ◽  
2017 ◽  
Vol 113 (2) ◽  
pp. 363-371 ◽  
Author(s):  
Yorghos Apostolopoulos ◽  
Michael K. Lemke ◽  
Adam E. Barry ◽  
Kristen Hassmiller Lich
Keyword(s):  
System Dynamics ◽  
Alcohol Prevention ◽  
Prevention Research ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based ◽  
New Directions ◽  
Forward Part

scholarly journals Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study

2019 ◽  
Vol 60 ◽  
pp. 102215 ◽  
Author(s):  
Brent A. Langellier ◽  
Jill A. Kuhlberg ◽  
Ellis A. Ballard ◽  
S. Claire Slesinski ◽  
Ivana Stankov ◽  
...  
Keyword(s):  
Complex Systems ◽  
System Dynamics ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based

System dynamics modeling for community-based water planning: Application to the Middle Rio Grande

2004 ◽  
Vol 66 (4) ◽  
pp. 357-372 ◽  
Author(s):  
Vincent C. Tidwell ◽  
Howard D. Passell ◽  
Stephen H. Conrad ◽  
Richard P. Thomas
Keyword(s):  
System Dynamics ◽  
Rio Grande ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based ◽  
Water Planning ◽  
Middle Rio Grande

Planning for suicide prevention in Thai refugee camps: Using community-based system dynamics modeling.

2021 ◽  
Vol 12 (3) ◽  
pp. 193-203
Author(s):  
Emily E. Haroz ◽  
Shoshanna L. Fine ◽  
Catherine Lee ◽  
Qi Wang ◽  
Muhammad Hudhud ◽  
...  
Keyword(s):  
System Dynamics ◽  
Suicide Prevention ◽  
Refugee Camps ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based

Using system dynamics modeling to evaluate a community-based social marketing framework

2019 ◽  
Vol 9 (1) ◽  
pp. 53-76 ◽  
Author(s):  
Brian Joseph Biroscak ◽  
Carol Bryant ◽  
Mahmooda Khaliq ◽  
Tali Schneider ◽  
Anthony Dominic Panzera ◽  
...  
Keyword(s):  
System Dynamics ◽  
Program Development ◽  
Social Marketing ◽  
Policy Development ◽  
Community Coalitions ◽  
System Dynamics Modeling ◽  
Dynamics Modeling ◽  
Community Based ◽  
Content Type ◽  
Development Framework

PurposeCommunity coalitions are an important part of the public milieu and subject to similar external pressures as other publicly funded organizations – including changes in required strategic orientation. Many US government agencies that fund efforts such as community-based social marketing initiatives have shifted their funding agenda from program development to policy development. The Florida Prevention Research Center at the University of South Florida (Tampa, Florida, USA) created community-based prevention marketing (CBPM) for policy development framework to teach community coalitions how to apply social marketing to policy development. This paper aims to explicate the framework’s theory of change.Design/methodology/approachThe research question was: “How does implementing the CBPM for Policy Development framework improve coalition performance over time?” The authors implemented a case study design, with the “case” being a normative community coalition. The study adhered to a well-developed series of steps for system dynamics modeling.FindingsResults from computer model simulations show that gains in community coalition performance depend on a coalition’s initial culture and initial efficiency, and that only the most efficient coalitions’ performance might improve from implementing the CBPM framework.Originality/valuePractical implications for CBPM’s developers and users are discussed, namely, the importance of managing the early expectations of academic-community partnerships seeking to shift their orientation from downstream (e.g. program development) to upstream social marketing strategies (e.g. policy change).

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