在大型行政数据集中,阿司匹林预防产前预防文档的准确性
Lauren S Tailor1,2, Renee G Fajardo2,3, Joel G Ray2,4
1Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Paediatric and perinatal epidemiology
|August 17, 2023
概括
更好的结果注册和网络 (BORN) 数据库变量用于怀孕期间的阿司匹林预防是准确的. 对电子医疗记录的验证显示了流行病学研究的良好可靠性.
科学领域:
- 围产期健康 围产期健康
- 数据验证数据验证
- 流行病学 流行病学
背景情况:
- 低剂量阿司匹林被推用于预防高危女性的孕前症.
- 在行政数据库中捕获非处方阿司匹林的使用存在挑战.
- 更好的结果注册和网络 (BORN) 数据库有阿司匹林预防的变量,需要验证.
研究的目的:
- 在BORN数据库中验证阿司匹林预防变量的准确性.
- 为了将BORN数据与阿司匹林使用的电子病历 (EMR) 进行比较.
主要方法:
- 一项验证研究包括200名随机选择的活产妇女.
- 从BORN数据库和SMH EMR中提取了阿司匹林预防数据.
- 准确度指标包括灵敏度,特异性,PPV,NPV,科恩的卡帕和整体协议.
主要成果:
- 在BORN数据库中,阿司匹林预防在8.0%的女性中被捕获,而在EMR中为12.5%.
- 敏感度为62.5%,特异性为100.0%,PPV为100.0%,NPV为93.8%.
- 科恩的卡帕为0.74,表明了实质性的协议.
结论:
- 在BORN数据库的阿司匹林预防变量显示出足够的准确性,用于流行病学研究的先兆子.
- 该变量可可靠地用作相关研究中的共变量.
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