通过研究试验合格和不合格人群的特性,为临床证据驱动的指导方针开发提供一个数字工具:开发和可用性研究研究
Shahzad Mumtaz1,2,3, Megan McMinn4, Christian Cole1,2
1Health Informatics Centre, School of Medicine, University of Dundee, Dundee, United Kingdom.
Journal of medical Internet research
|January 17, 2025
概括
一个新的数字工具分析了现实世界的数据,以评估临床试验结果如何适用于各种患者群体,改进基于证据的指导方针开发.
科学领域:
- 医疗信息学 医疗信息学
- 临床流行病学临床流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 随机对照试验 (RCT) 对临床指导方针至关重要,但对于现实患者群体来说,通常缺乏外部有效性.
- 应用RCT发现的挑战包括数据治理,不一致的疾病定义和重复的分析工作.
- 需要工具来弥合试验证据和临床适用性之间的差距.
研究的目的:
- 开发一个数字工具来描述临床群体,并比较试验符合条件的与不符合条件的个体.
- 提供有关人口统计,并发症,共同处方,住院和死亡率的实时数据,以告知指南制定者.
- 为制定准则简化对证据普遍性的评估.
主要方法:
- 与NICE和SIGN的指导方针开发者进行商,以确定要求.
- 使用链接的初级保健,住院和死亡率数据开发R Shiny工具.
- 实施披露控制机制,并在可信的研究环境中部署.
主要成果:
- 该工具支持128种索引疾病和161种并发症.
- 能够对整体和分层人口进行分析,详细介绍人口统计,并发病症和共同处方.
- 以痛风作为指标条件的功能性证明;从指南开发者那里得到了积极的反.
结论:
- 开发的工具是计算机可解释指南开发的概念验证.
- 通过这种工具,实时访问真实世界的数据可以增强基于证据的指导方针创建.
- 用户反表明该工具有可能提高临床试验证据的适用性.
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