在丹麦患者安全数据库中使用不成比例分析识别高风险药物和错误类型
Olga Tchijevitch1, Søren F Birkeland1,2,3, Søren B Bogh1
1Research Unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Pharmacoepidemiology and drug safety
|February 15, 2024
概括
不成比例分析 (DPA) 可以帮助选医疗安全报告中的药物错误. 这项研究发现,DPA可用于在丹麦患者安全数据库中识别与ME的高风险药物关联.
科学领域:
- 医疗保健安全 医疗保健安全
- 药物监督 药物监督 药物监督
- 药物错误分析 药物错误分析
背景情况:
- 丹麦的药物错误 (ME) 监测使用了丹麦国家患者安全数据库 (DPSD).
- 目前的分析方法,如案例审查和描述性统计数据有局限性,包括报告不足和大量数据.
- 不成比例分析 (DPA) 是一种用于检测药物不良反应信号的工具,在安全报告系统中对ME分析的证据有限.
研究的目的:
- 评估使用不成比例分析 (DPA) 分析有害药物错误 (ME) 的可行性.
- 评估DPA在医疗保健安全报告中作为ME监测的补充工具的潜力.
主要方法:
- 使用比例报告比率 (PRR) 来检测不成比例信号.
- 分析了2014年至2018年期间报告给丹麦患者安全数据库 (DPSD) 的有害药物错误.
主要成果:
- 成功确定了高风险药物 (如抗凝剂,阿片类药物,胰岛素) 与各种药物错误类型和阶段之间的关联.
- 通过DPA证明了已知的高风险药物类别的识别.
结论:
- 不成比例分析 (DPA) 显示了在安全报告系统中选药物错误的可行性.
- DPA可以作为一种额外的工具,用于确定进一步调查药物错误的优先领域.
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