在疾病爆发中优化临床流行病学:ISARIC-WHO COVID-19病例报告表格利用分析
Laura Merson1,2, Sara Duque1,3, Esteban Garcia-Gallo1,3
1ISARIC, Pandemic Sciences Institute, University of Oxford, Oxford OX37LF, UK.
Epidemiologia (Basel, Switzerland)
|September 23, 2024
概括
标准化临床数据表 (CRF) 提高了研究的一致性. 对ISARIC-WHO COVID-19 CRF的分析表明,结果状态和人口统计数据最常被包含和完成,指导未来的数据收集效率.
科学领域:
- 流行病学 流行病学
- 临床研究 临床研究
- 数据科学数据科学数据科学
背景情况:
- 标准化病例报告表 (CRF) 对于在传染病爆发中进行一致的临床数据收集和分析至关重要.
- 国际严重急性呼吸道和新兴感染联盟 (ISARIC) 和世界卫生组织 (WHO) 开发了用于COVID-19特征的CRF.
研究的目的:
- 分析ISARIC-WHO COVID-19 CRF.中的字段的包含和完成率.
- 识别数据收集的模式,为未来的传染病爆发CRF的设计提供信息.
主要方法:
- 分析了来自42个合作,1886家医院和950,064名患者的数据.
- 评估ISARIC-WHO COVID-19 CRF上的243个字段的包含和完成率.
主要成果:
- 平均129.6个田地 (53%) 被纳入适应的CRF.
- 结局状况,入院人口统计,并发病,症状和生命指标显示了高的纳入和完成率.
- 与所有患者 (61.6%) 相比,重症患者 (70.2%) 的实地完成率更高.
结论:
- 现场纳入的一致模式与新型传染病的全球研究重点保持一致.
- 通过模块化和分离重症监护干预措施来简化CRF可以减少数据收集时间.
- 数据驱动的CRF设计方法提高了患者护理和公共卫生响应的效率.
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