参与式系统方法可用于可视化和测试实施战略和机制:在社区联盟中采用证据采用
Travis R Moore1, Yuilyn A Chang Chusan2, Mark Pachucki3
1Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, 02111, USA. Travis.Moore@Tufts.edu.
Implementation science communications
|October 2, 2025
概括
系统科学方法可操作化社区联盟的实施策略. 参与式绘图和动态模拟表明,定制策略,如决策支持工具,显著提高了证据采用和儿童健康公平结果.
科学领域:
- 实施科学 实施科学
- 系统科学 系统科学
- 公共卫生 公共卫生
背景情况:
- 实现科学可以通过系统方法来增强,以解决现实世界的复杂性.
- 系统科学模型的交互和反循环在实施中.
- 实施策略设计的系统方法的实际示例是有限的.
研究的目的:
- 展示系统方法来运行实施战略和机制.
- 应用这些方法在社区联盟的背景下,为儿童健康平等.
- 通过系统方法,加强将证据转化为实践.
主要方法:
- 员工参与实施系统与社区咨询委员会进行映射.
- 利用因果循环图和库存和流量图来可视化系统动态.
- 模拟了实施战略对知识,采用和决策的影响.
主要成果:
- 产生了50多个实施决定因素和一个概念系统框架.
- 因果循环图揭示了影响实施的关键反动态.
- 模拟表明,决策支持工具减少了3周的采用时间,并提高了22%的采用.
结论:
- 系统科学方法整合了适应性战略设计的定性和定量方法.
- 可视化反循环和系统关系有助于评估战略影响.
- 参与过程对于制定实用,联盟一致的实施策略至关重要.
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