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一种在大型国家医疗保健系统中对分娩过程中接近发生的不良事件进行识别和分类的系统方法。

A systematic approach to the identification and classification of near-miss events on labor and delivery in a large, national health care system.

机构信息

Hospital Corporation of America, Nashville, TN, USA. .

出版信息

Am J Obstet Gynecol. 2012 Dec;207(6):441-5. doi: 10.1016/j.ajog.2012.09.011. Epub 2012 Sep 17.

Abstract

We describe a systematic approach to the identification and classification of near-miss events on labor and delivery in a large, national health care system. Voluntary reports of near-miss events were prospectively collected during 2010 in 203,708 deliveries. These reports were analyzed according to frequency and potential severity. Near-miss events were reported in 0.69% of deliveries. Medication and patient identification errors were the most common near-miss events. However, existing barriers were found to be highly effective in preventing such errors from reaching the patient. Errors with the greatest potential for causing harm involved physician response and decision making. Fewer and less effective existing barriers between these errors and potential patient harm were identified. Use of a comprehensive system for identification of near-miss events on labor and delivery units have proven useful in allowing us to focus patient safety efforts on areas of greatest need.

摘要

我们描述了一种在大型国家医疗保健系统中对分娩时接近失误事件进行识别和分类的系统方法。2010 年,在 203708 次分娩中,前瞻性地收集了接近失误事件的自愿报告。根据频率和潜在严重程度对这些报告进行了分析。接近失误事件在 0.69%的分娩中报告。用药和患者身份识别错误是最常见的接近失误事件。然而,现有的障碍被发现非常有效地防止这些错误到达患者。最有可能造成伤害的错误涉及医生的反应和决策。在这些错误和潜在的患者伤害之间,发现了较少和较不有效的现有障碍。在分娩单位使用全面的接近失误事件识别系统已被证明有助于让我们将患者安全工作集中在最需要的领域。

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