用DZHK注册表TORCH-DZHK1作为示例来设计,实施和分析知情同意的质量保证过程
Dana Stahl1,2, Katrin Leyh1,2, Alexander Rudolph1,2
1Trusted Third Party of the University Medicine Greifswald, Ellernholzstraße, Greifswald, Germany.
PLOS digital health
|February 24, 2026
概括
确保高质量的知情同意 (IC) 对临床试验至关重要. 这项研究开发了IC的质量保证概念,大大提高了数据完整性和注册表中的参与者保护.
科学领域:
- 临床研究 临床研究
- 数据管理数据管理
- 患者权利 患者权利
背景情况:
- 在临床试验中收集敏感患者数据时,知情同意 (IC) 是必不可少的,但其质量往往不足.
- 不完整或不正确的IC文件缺乏法律有效性,不能代表参与者的意愿.
- 很少有研究在临床试验环境中系统评估IC质量.
研究的目的:
- 开发和评估知情同意 (IC) 质量保证概念.
- 在德国心血管研究中心 (DZHK) 注册表中评估IC质量.
- 识别和解决IC文档中常见的质量问题.
主要方法:
- 制定一个质量保证概念,包括指标:完整性,数据的一致性,正确性和有效性.
- 评估来自DZHK注册表的2,453个知情同意 (IC) 表格.
- 记录和解决已识别的质量问题,随后进行员工培训.
主要成果:
- 在2,453个IC中,1,588个 (64.7%) 展示了至少一个质量问题.
- 对于已识别的IC质量问题,实现了99.8%的高分辨率.
- 培训课程有效提高了研究人员的意识,并改善了IC收集实践.
结论:
- 持续的质量控制对于确保临床试验中知情同意 (IC) 的完整性和法律有效性至关重要.
- 开发的IC质量保证概念显示了改善研究人员记录的巨大潜力.
- 实施强有力的质量保证措施可以提高参与者数据保护和试验可靠性.
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