使用电子健康记录处方数据来推导纵向每日吗啡毫克相当量的复杂性和方法
Samantha H Chang1, Shawn C Hirsch1, Sonia M Thomas1
1Center for Clinical Research, RTI International, Research Triangle Park, NC 27709, United States.
JAMIA open
|June 17, 2025
概括
从电子健康记录计算每日阿片类药物剂量存在挑战. 本研究概述了清理处方数据的方法,以便对阿片类药物减少慢性疼痛的准确研究.
科学领域:
- 临床研究 临床研究
- 药理学 药理学是指药理学的学科.
- 医疗信息学 医疗信息学
背景情况:
- 电子健康记录 (EHR) 为临床研究提供了大量数据.
- 在临床试验中,准确计算长线每日阿片类药物剂量以吗啡毫克相当量 (MME) 为单位至关重要.
- 患有慢性非癌症疼痛的患者往往需要仔细管理阿片类药物治疗.
研究的目的:
- 从EHR处方中识别和解决计算纵向每日阿片类药物剂量的挑战.
- 为专注于自愿阿片类药物减少的临床试验提供准确MME计算的解决方案.
- 为了提高EHR处方数据的可靠性,用于研究.
主要方法:
- 从国家以患者为中心的临床研究网络数据中获得了525名参与者的阿片类药物处方.
- 使用剂量转换和总和处方计算每日阿片类药物剂量.
- 应用了假设,审查了可疑的处方模式,并删除了虚假的处方.
主要成果:
- 在 16,071 份提取的处方中分析了 14,864 份 (92% 的可用性).
- 确定了许多挑战,包括不完整的数据,不准确的补充日期和重叠/重复的处方.
- 证明了研究数据清理的必要性.
结论:
- 从电子处方数据计算每日阿片类药物消耗是复杂的.
- 在EHR阿片类药物处方数据可以用于研究之前,需要进行大量的数据清理.
- 本文推了审查和清理电子阿片类药物处方数据的具体步骤.
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