用于识别和分类与药物相关的入院和再入院医院的方法:系统性审查
Linda Krogh1, Stephen Carter2, Shania Liu2
1Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Western NSW Local Health District, Australia.
Research in social & administrative pharmacy : RSAP
|December 21, 2025
概括
识别与药物相关的住院病例对于预防至关重要. AT-HARM10工具是实时临床使用的唯一经过验证和可行的选择.
科学领域:
- 药监和患者安全 药监和患者安全
- 医疗保健服务研究 医疗服务研究
- 临床信息学 临床信息学
背景情况:
- 与药物相关的住院病例频繁且可以预防.
- 需要有效的识别方法,但缺乏共识.
- 目前的方法阻碍了有针对性的干预.
研究的目的:
- 系统地审查与药物相关的入院病人的分类方法.
- 总结和评估用于识别的工具.
- 评估这些工具的有效性和临床可用性.
主要方法:
- 从2013年10月到2023年10月进行系统的文献搜索 (Scopus,PubMed,Embase)
- 遵循PRISMA指南; 在开放科学框架上注册.
- 用于偏见和有效性评估的QUADAS-2和JBI检查清单.
主要成果:
- 确定了三种识别方法:触发工具 (8),问卷 (4),ICD代码 (10).
- 只有四项研究报告了验证的工具;AT-HARM10显示出最强的有效性和可用性.
- 大多数研究都有局限性 (偏见,概括性);ICD代码缺乏实时适用性.
结论:
- 对于识别与药物相关的入院患者而言,存在很少的经过验证和可行的工具.
- AT-HARM10是最适合实时临床应用的工具.
- 为了改善检测和干预,需要标准化,验证和通用化的工具.
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