系统思维方法:一个支持紧急医疗服务决策者的实践实例,以优先考虑和从情境上分析潜在干预措施及其实施
Cassandra Rehbock1,2, Thomas Krafft3, Anja Sommer1,2
1Department of Health, Ethics and Society, Care And Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, 6229 ER, The Netherlands.
Health research policy and systems
|June 5, 2023
概括
系统思维,使用因果循环图,帮助决策者了解复杂的问题,并定制干预措施,以便在紧急医疗服务中更好地实施. 这种方法有助于优先考虑改善系统动态的行动.
科学领域:
- 医疗保健系统分析 医疗保健系统分析
- 实施科学 实施科学
- 系统工程 系统工程
背景情况:
- 系统思维提供了一种参与式方法来分析复杂的实施环境和干预动态.
- 因果循环图 (CLD) 是一个关键的系统思维方法,以前用于说明实施上下文和优先考虑干预措施.
- 了解当地动态对于有效的干预选择和实施至关重要.
研究的目的:
- 探索系统思维方法如何帮助决策者了解关键问题的原因和影响及其相互联系.
- 为了确定最相关的干预措施,最适合在给定的系统.
- 通过对系统和干预措施的上下文分析,优先考虑潜在的干预措施.
主要方法:
- 在德国的一个区域紧急医疗服务 (EMS) 系统中采用了案例研究方法.
- 与决策者一起开发了一个因果循环图 (CLD),以绘制EMS需求上升的原因和影响.
- 干预措施被确定,根据影响,延迟和系统适应来确定优先级,并使用途径分析进行上下文分析.
主要成果:
- 一个CLD在五个相互连接的子系统中确定了37个变量,与不断增长的EMS需求有关.
- 确定了五个关键变量为实施三个优先干预措施的最佳选择.
- 途径分析揭示了影响干预实施的上下文因素,延迟和反循环,例如人员资源限制.
结论:
- 系统思维方法使地方决策者能够理解其实施背景及其动态影响.
- 这种理解有助于制定针对干预措施的定制实施和监测策略.
- 这项研究证明了系统思维在优化复杂医疗保健系统中的干预效果方面的实用性.
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