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使用基于电子健康记录的研究网络对抑郁症的真实世界数据:一个范围审查
Research square
|August 13, 2025
概括
电子健康记录 (EHR) 研究网络为研究抑郁症提供了有价值的数据,但它们的使用仍然有限. 本次审查强调了这些强大的工具对于抑郁症流行病学和管理研究的不足利用.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 抑郁症是全球主要的公共卫生问题,需要先进的研究方法.
- 电子健康记录 (EHR) 研究网络提供了大规模的数据,但在抑郁症研究中未得到充分利用.
研究的目的:
- 通过使用EHR网络对抑郁症研究的范围进行范围审查.
- 确定用于研究抑郁症的电子健康数据网络应用中的趋势和差距.
主要方法:
- 在多个数据库中使用Arksey和O'Malley框架和PRISMA指南进行系统的文献搜索.
- 包括2024年9月发表的研究,重点关注TriNetX,All of Us和百万退伍军人计划 (MVP) 等EHR网络中的抑郁症研究.
- 使用Covidence与自定义大语言模型 (LLM) 插件进行选和数据提取.
主要成果:
- 有限数量的研究 (从1211条记录中166条) 使用了EHR网络进行抑郁症研究.
- 最常见的平台是TriNetX (36项研究) 和All of Us (24项研究).
- 研究主要集中在美国人口,分析诸如年龄,性别/性别,种族/种族等预测因素.
结论:
- 电子健康记录网络拥有大量的真实世界数据,对于推进抑郁症研究至关重要.
- 目前EHR网络的不足利用表明需要提高可访问性,以最大限度地发挥其在未来抑郁症研究中的潜力.
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