评价资格标准与IT支持的试用招聘的相关性:描述性的定量分析
Romina Blasini1, Cosima Strantz2, Christian Gulden2
1Institute of Medical Informatics, Justus Liebig University, Giessen, Germany.
JMIR formative research
|January 31, 2024
概括
确定相关数据元素对于临床试验招聘至关重要. 诊断,出生日期/年龄和程序是有效地找到合适参与者的关键标准.
科学领域:
- 医疗信息学 医疗信息学
- 临床试验管理 临床试验管理
- 健康 数据科学 数据科学
背景情况:
- 临床试验 (CTs) 经常因未满足资格标准 (EC) 而难以招募参与者.
- 临床试验招聘支持系统 (CTRSS) 通过搜索数据池来帮助参与者识别,但搜索准确性取决于数据质量.
- 识别CTRSS查询的基本数据元素对于有效的参与者招聘至关重要.
研究的目的:
- 调查哪些数据元素组实际上与确定合适的临床试验参与者有关.
- 确定某些标准是否通常无关紧要,并且可以从初始搜索中省略.
主要方法:
- 试验专家和CTRSS开发人员将CT资格标准 (EC) 分类和分类为必要的,补充的或无关的.
- 专家评估了数据记录状态 (记录与医生/患者知识).
- 数据元素相关性指数 (DERI) 被引入以量化标准的重要性.
主要成果:
- 在82个CT中审查的1132个EC中,30.9%是必要的,19.8%是补充的,30.1%是无关的.
- "诊断"是最相关的数据元素 (96.3%的CT).
- "出生日期/年龄" (85.4% DERI) 和"程序" (35.4% DERI) 也是高度相关的数据元素.
结论:
- 在CT中以前对数据元素组的描述是异质的.
- 建议使用含有数据元素组的CT的百分比来可靠地确定EC相关性.
- 建议在DERI中仅包括必要的和补充的标准,以提高CTRSS的性能.
关键词:
在CTRSS中使用CTRSS.在PRS中使用PRS.自动化临床试验自动化临床试验这些是分类,分类,分类.临床试验临床试验临床试验临床试验临床试验临床试验招聘支持系统临床试验是指临床试验中的临床试验.标准 标准 标准 标准 标准数据分类数据的分类.数据元素中的数据元素.数据组数据组的数据组.参与者 参与者 参与者 参与者患者招募系统患者招募系统相关性 相关性更多相关视频
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