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首页> 外文期刊>Journal of risk research >A human error taxonomy for analysing healthcare incident reports: assessing reporting culture and its effects on safety performance
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A human error taxonomy for analysing healthcare incident reports: assessing reporting culture and its effects on safety performance

机译:用于分析医疗事故报告的人为错误分类法:评估报告文化及其对安全绩效的影响

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摘要

The present paper reports on a human error taxonomy system developed for healthcare risk management and on its application to evaluating safety performance and reporting culture. The taxonomy comprises dimensions for classifying errors, for performance-shaping factors, and for the maturity of reporting culture contained in incident reports. Applying several dimensions in the taxonomy, we propose on the one hand two safety performance measures, i.e., the rate of near-miss reporting and the rate of near-miss detection by safety procedure, and on the other, measures for diagnosing reporting culture including average descriptive depth in reports.rnWe applied the taxonomy to a total of 3749 incident cases collected from two Japanese hospitals, which were at different stages of patient safety activities: Hospital A initiated organisation-wide initiatives several years before the survey period, while such safety-related activities had just commenced in Hospital B. The hospitals also differed in their reporting rates of incidents per nurse: 3.05 (A) vs. 0.65 (B). Results show that the taxonomy can identify differences between these hospitals both in terms of safety performance and reporting culture. In addition, a correlation trend was observed between these two measures.
机译:本文报告了为医疗保健风险管理开发的人为错误分类法系统及其在评估安全绩效和报告文化方面的应用。分类法包括用于对错误进行分类,对绩效形成因素以及对事件报告中所包含的报告文化的成熟度的维度。在分类法中应用多个维度时,我们一方面提出两种安全绩效措施,即未命中报告率和通过安全程序检测到未命中率,另一方面,用于诊断报告文化的措施包括我们将分类法应用于从两家日本医院收集的3749起事件病例,这些事件处于患者安全活动的不同阶段:医院A在调查期之前的几年发起了全组织的举措,而这种安全与相关的活动刚刚在医院B中开始。医院的每位护士事件报告率也有所不同:3.05(A)对0.65(B)。结果表明,分类学可以在安全绩效和报告文化方面识别这些医院之间的差异。另外,在这两个量度之间观察到相关趋势。

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