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"人类因素分析和分类系统" (HFACS) 模型应用于预防医疗错误和不良事件:系统性审查
Mahdi Jalali1, Habibollah Dehghan1, Ehsanollah Habibi1
1Department of Occupational Health Engineering, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran.
International journal of preventive medicine
|January 24, 2024
概括
医院的医疗错误往往源于不安全行为的先决条件. 专注于人员,操作员条件和环境可以防止患者受到伤害并提高安全.
科学领域:
- 医疗保健的质量和安全.
- 医学中的人类因素
- 患者安全研究的研究.
背景情况:
- 医院对公共卫生至关重要,但也可能是医疗错误的来源.
- 医疗错误导致患者受伤和死亡.
- 需要有效的分类系统来理解和防止这些错误.
研究的目的:
- 系统地审查人类因素分析和分类系统 (HFACS) 在分类医疗错误中的应用.
- 用HFACS.来识别导致医疗错误和不良事件的主要因果因素.
主要方法:
- 对2001年至2021年2月期间发表的研究进行系统审查.
- 在主要数据库中进行的搜索:Scopus,科学网络和MEDLINE.
- 纳入标准集中在应用HFACS对医疗错误分类和因果关系的研究上.
主要成果:
- 12篇文章被纳入了最终的审查.
- 在65%的研究中,不安全行为的前提条件是主要的因果级别.
- 确定的主要因果类别包括沟通,精神状态,环境,船员资源管理和技术.
结论:
- 控制不安全行为的先决条件对于防止医疗错误至关重要.
- 应优先考虑处理人员因素,操作员条件和环境因素.
- HFACS为分析医疗错误的根本原因提供了一个有价值的框架.
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