在德克萨斯州黑人妇女中了解和解决严重的孕产妇发病率:来自系统动力学组建模型研究的发现
Michael K Lemke1, Kyrah K Brown2, Saeideh Fallah-Fini3
1Department of Environmental & Occupational Health Sciences, Southwest Center for Occupational and Environmental Health, University of Texas Health Science Center at Houston School of Public Health, 7411 John Smith Drive, San Antonio, TX, 78229, USA. Michael.K.Lemke@uth.tmc.edu.
Journal of racial and ethnic health disparities
|July 30, 2025
概括
社区的利益相关者利用系统动态来确定导致黑人妇女严重孕产妇死亡率 (SMM) 的复杂因素. 这种方法揭示了这些因素如何随着时间的推移而变化,并确定了改善母亲健康结果的干预目标.
科学领域:
- 孕产妇健康 孕产妇健康
- 公共卫生 公共卫生
- 系统科学 系统科学
背景情况:
- 严重的孕产妇死亡率 (SMM) 不成比例地影响得克萨斯州的黑人妇女.
- 了解导致SMM的复杂,动态因素对于有效干预至关重要.
- 之前的研究还没有完全捕捉到这些促成因素的时间性和相互联系性.
研究的目的:
- 确定影响德克萨斯州黑人女性SMM结果的关键因素和力量.
- 分析这些因素是如何随着时间的推移而演变和相互影响的.
- 在已识别的系统中确定潜在的干预点.
主要方法:
- 员工参与式系统动态组建建模型 (SD GMB) 与17个社区利益相关者.
- 进行了两次总共2.5天的会议,以引出变量,行为时间图和因果循环图.
- 利用利益相关者的意见来绘制复杂的关系并确定可操作的目标.
主要成果:
- 在结果,角色,关系,规则和资源方面确定了351个关键变量,其中有75个新兴主题.
- 开发了16个独特的行为时间图和两个因果循环图,说明了强化和平衡循环.
- 产生了36个具体的行动目标来解决SMM.
结论:
- 该研究提供了一个复杂的系统视角,对黑人女性中SMM的驱动因素.
- 系统动力学组建建模型对于发现动态和非线性关系的新见解非常有价值.
- 确定了最初的干预目标,并证明了SD GMB对孕产妇健康研究和实践的有用性.
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