在观察医疗结果伙伴关系共同数据模型中计算每日剂量
Theresa Burkard1, Kim López-Güell1, Artem Gorbachev2
1Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
Pharmacoepidemiology and drug safety
|May 22, 2024
概括
一种新的标准化方法使用观察医学结果伙伴关系共同数据模型 (OMOP CDM) 数据计算全球每日药物剂量. 这种可靠的方法确保在各种医疗保健数据库中对药物暴露的评估一致.
科学领域:
- 药理动力学和药物利用研究 药理动力学和药物利用研究
- 卫生信息学和数据标准
- 观察性健康数据科学数据科学
背景情况:
- 准确的每日药物剂量计算对于药物监测和有效性比较研究至关重要.
- 现有的从观察数据计算每日药物剂量的方法缺乏标准化,阻碍了全球分析.
- 观察医疗结果伙伴关系共同数据模型 (OMOP CDM) 为观察健康数据提供了一个标准化的框架.
研究的目的:
- 在全球范围内开发和验证一种标准化方法来计算任何药物的每日剂量.
- 利用OMOP CDM和OHDSI参考表中的随时可用的药物信息.
- 为了在真实世界的数据中实现一致和可重复的药物暴露评估.
主要方法:
- 根据OMOPDRUG_STRENGTH参考表的变化,开发了四种不同的公式来计算每日药物剂量.
- 使用来自多个国际数据库 (英国,荷兰,美国,爱沙尼亚,德国,比利时,西班牙) 的DRUG_EXPOSURE数据.
- 对六种药物成分的世界卫生组织 (WHO) 定义的每日剂量 (DDD) 进行了验证,计算了每日剂量的中位数.
主要成果:
- 开发的剂量计算公式产生了平均每日剂量,这些剂量通常与世卫组织的DDD相一致.
- 标准化方法的应用性很高,在大多数数据库中成功计算了超过85%的药物记录.
- 观察到微小的差异,需要仔细考虑特定的药物配方和数据库特征.
结论:
- 在OMOPCDM框架内建立了一种标准化和可靠的方法来计算每日药物剂量.
- 实施的方法提供了可重现的结果,促进了全球药物暴露分析.
- 这种标准化对于推进大规模的药物流行病学研究和药物安全监测至关重要.
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