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系统动态建模以支持基于社区的决策,以减少阿片类药物过量死亡事件

Turner Canty¹, Matthew R Lootens¹, Nasim S Sabounchi¹

¹Center for Systems and Community Design and NYU-CUNY Prevention Research Center, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States.

Frontiers in public health

|August 12, 2025

概括

系统智库 (STT) 使用系统思维和系统动态 (SD) 建模来帮助纽约社区规划和实施预防阿片类药物过量死亡的策略. 这种方法澄清了过量使用的驱动因素,并确定了长期影响的有效干预措施.

科学领域:

公共卫生公共卫生
实施科学实施科学
系统科学系统科学

背景情况:

在纽约州和美国,阿片类药物过量死亡和阿片类药物使用率是重要的公共卫生问题.
基于证据的实践 (EBP) 存在,但由于系统层面的障碍,社区的覆盖范围有限.
有效实施需要克服这些障碍,以维持干预措施.

研究的目的:

描述系统智库 (STT),一种使用系统思维和系统动态 (SD) 建模的社区参与的方法.
支持当地行动规划和决策,为社区的阿片类药物过量预防策略提供支持.
在纽约的HEALing社区研究 (HCS) 中为策略的选择,实施和监测提供信息.

主要方法:

该STT涉及一个核心建模团队,与纽约的社区联盟合作.
联盟使用基于Web的SD建模接口来模拟EBP实施和分析策略.
两个案例研究记录了STT与社区联盟及其实施团队的应用.

主要成果:

系统思维和SD建模活动提供了独特的数据和见解,以告知联盟决策.
在STT的参与帮助联盟了解当地阿片类药物过量驾驶员.
联盟确定了短期和长期缓解过量死亡的潜在策略.

结论:

在解决阿片类药物过量预防方面,STT方法有效地支持社区联盟.
系统思维和SD建模可以澄清复杂的公共卫生问题,并指导干预计划.
这种方法为社区参与的实施研究提供了有价值的见解.

关键词:

参与社区参与的研究.实施科学实施科学 "阿片类药物使用障碍"系统动态建模系统动态建模系统思维系统思维

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