处方序列对称分析 (PSSA) 来评估处方级联:一个逐步指南
Mandy R S Hendrix1, Mustafa Yasar1, Atiya K Mohammad1,2
1Department of Clinical Pharmacy, OLVG Hospital, Amsterdam, The Netherlands.
BMC medical research methodology
|January 11, 2024
概括
处方级联,其中一种药物治疗另一种药物.
科学领域:
- 药物监督和药物流行病学
背景情况:
- 处方级联,即一系列的处方开始管理先前药物的不良药物反应 (ADRs),在患者安全方面构成了重大挑战.
- 了解顺序性药物处方之间的关系对于识别和缓解这些布至关重要.
研究的目的:
- 为进行处方序列对称分析 (PSSA) 提供全面的逐步指南,以检测和评估处方级联.
- 强调PSSA数据收集和参数设置对于准确的级联识别至关重要.
主要方法:
- 执行PSSA的详细方法,包括对药物数据选择的考虑,以及定义时间参数,如冲洗,暴露,持续暴露和停电期等.
- 插图示例展示了这些时间参数的变化如何影响观察到的药物关联.
主要成果:
- 该研究表明,参数的选择显著影响了药物序列之间检测到的关联的强度.
- 灵敏度分析揭示了基于方法选择的级联检测处方的变化.
结论:
- 研究人员必须仔细定义和证明所有参数,包括药物纳入标准和时间窗口设置,在使用PSSA处方级联研究时.
- 建议进行子组和敏感性分析,以确保与处方级联相关的发现的稳定性和有效性.
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