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在人口层面上抑郁症的系统动态模型:一个范围审查
Eva Graham1,2, Geneviève Gariépy3,4,5, Heather Orpana3,6
1Centre for Surveillance and Applied Research, Health Promotion and Chronic Disease Prevention Branch, Public Health Agency of Canada, 785 Carling Ave, Ottawa, ON, Canada. eva.graham@phac-aspc.gc.ca.
Health research policy and systems
|June 13, 2023
概括
系统动态 (SD) 模型有效地捕捉了抑郁症.
科学领域:
- 心理健康研究 心理健康研究
- 公共卫生建模公共卫生建模
- 系统动力学系统动力学
背景情况:
- 抑郁症涉及复杂的个人和系统层面的动态.
- 系统动态 (SD) 模型提供了一个分析这些复杂性的工具.
- 在心理健康研究中,SD模型未得到充分利用.
研究的目的:
- 确定基于人口的抑郁症SD模型.
- 分析他们的建模策略和政策应用.
- 它将为这个新兴领域的未来研究提供信息.
主要方法:
- 对多个数据库 (MEDLINE,Embase等) 的范围审查. 和会议摘要. 和会议摘要.
- 关于模型目的,元素,结果和干预措施的数据提取.
- 对可复制性的报告质量的评估.
主要成果:
- 四项研究符合1899年记录的纳入标准.
- 模型评估了诸如抗抑郁药物使用,回忆错误和咨询率等干预措施.
- 所有模型包括发病率,复发流和反循环;三个是可复制的.
结论:
- SD模型对于了解人口层面的抑郁动态是有价值的.
- 这些模型可以为公共卫生政策和决策提供信息.
- 该审查为未来的抑郁症SD建模应用提供了指导.
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