Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study.
Using community-based system dynamics modeling to understand the complex systems that influence health in cities: The SALURBAL study.
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DOI：
10.1016/j.healthplace.2019.102215
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发表时间：
2019-11-01
期刊：
影响因子：
4.8
通讯作者：
Diez Roux, Ana V
中科院分区：
文献类型：
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作者：
Langellier, Brent A;Kuhlberg, Jill A;Diez Roux, Ana V
我们讨论的设计，实施和协作过程的结果，旨在阐明复杂的系统，推动食品行为，运输和健康在拉丁美洲城市，并建立系统思维和基于社区的系统动力学（CBSD）方法的能力在不同的研究团队成员和利益相关者。在三个CBSD研讨会期间，来自10个拉丁美洲国家的62个利益相关者确定了98个变量和一系列影响食品行为、交通和健康的反馈回路，沿着52个政策杠杆。我们的研究结果表明，CBSD可以让当地利益相关者参与进来，帮助他们通过复杂系统的透镜来看待问题，并利用他们的见解来优先考虑研究工作，并确定考虑复杂性机制的新解决方案。
We discuss the design, implementation, and results of a collaborative process designed to elucidate the complex systems that drive food behaviors, transport, and health in Latin American cities and to build capacity for systems thinking and community-based system dynamics (CBSD) methods among diverse research team members and stakeholders. During three CBSD workshops, 62 stakeholders from 10 Latin American countries identified 98 variables and a series of feedback loops that shape food behaviors, transportation and health, along with 52 policy levers. Our findings suggest that CBSD can engage local stakeholders, help them view problems through the lens of complex systems and use their insights to prioritize research efforts and identify novel solutions that consider mechanisms of complexity.