让我们的子排在一排:需要数据实用性比较医疗保健系统的数据,用于临床试验的数据
Matthew R Sydes1, Macey L Murray2, Saiam Ahmed3
1MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK; Health Data Research UK (HDR UK), London, UK; BHF Data Science Centre, Health Data Research UK (HDR UK), London, UK.
数据实用性比较研究 (DUCkS) 评估临床试验的医疗保健数据. 通过评估数据实用性和识别挑战,实施DUCkS可以提高试验效率并减少浪费.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床试验方法论 临床试验方法论
- 在医疗保健中的数据科学.
背景情况:
- 医疗保健系统的数据有可能改善随机对照试验 (RCT) 的规划和进行.
- 使用医疗保健数据存在挑战,包括其捕获通常在病例报告表格上发现的数据的能力.
- 英国公布的数据实用性比较研究 (DUCkS) 的例子很少,尽管它们很重要.
研究的目的:
- 为未来在英国进行DUCkS提供基于经验的考虑.
- 基于现有的英国领导的DUCkS示例.
- 引导试验团队评估医疗保健系统数据对RCT的有用性.
主要方法:
- 借鉴正在进行的和最近英国领导的DUCkS.
- 通过多个论坛的非正式,代性讨论来发展考虑.
- 专注于基于感兴趣的项目和试验状态的患者或试验水平的比较.
主要成果:
- 考虑范围包括DUCkS.的规划,协议开发,数据管理,分析和报告.
- DUCkS可以识别医疗数据链接 (访问,时间) 和数据质量方面的挑战.
- 该研究为进行和报告DUCkS.提供了实际指导.
结论:
- DUCkS对于确定医疗保健系统数据在哪里可以在试验中使用有价值.
- 极其需要提高试验效率并减少研究浪费.
- 在资助者和数据提供者的支持下,鼓励试验团队将DUCkS纳入并报告至关重要.
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