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Naturalistic Decision Making in After-Action Review Meetings: The Implementation of and Learning from Post-Fall Huddles

机译:事后审查会议中的自然主义决策:秋季后杂乱无章的实现与借鉴

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摘要

The purpose of this study was to add to our understanding of Naturalistic Decision Making (NDM) in healthcare, and how After Action Reviews (AARs) can be utilized as a learning tool to reduce errors. The study focused on the implementation of a specific form of AAR, a post-fall huddle, to learn from errors and reduce patient falls. Utilizing 17 hospitals that participated in this effort, information was collected on 226 falls over a period of 16 months. The findings suggested that the use of self-guided post-fall huddles increased over the time of the project, indicating adoption of the process. Additionally, the results indicate that the types of errors identified as contributing to the patient fall changed, with a reduction in task and coordination errors over time. Finally, the proportion of falls with less adverse effects (such as non-injurious falls) increased during the project time period. The results of this study fill a void in the NDM and AAR literature, evaluating the role of NDM in healthcare specifically related to learning from errors. Over time, self-guided AARs can be useful for some aspects of learning from errors.
机译:这项研究的目的是加深我们对医疗保健中自然决策(NDM)的理解,以及如何将事后评估(AAR)用作减少错误的学习工具。该研究的重点是实施特定形式的AAR,即跌倒后的杂物,以从错误中学习并减少患者跌倒。利用16家参与这项工作的医院,在16个月的时间内收集了226处瀑布的信息。研究结果表明,在项目实施过程中,使用自行指导的坠落后杂物的使用量有所增加,表明该过程已被采用。此外,结果表明,被识别为对患者有帮助的错误类型发生了变化,随着时间的推移任务和协调错误减少了。最后,在项目时间段内,具有较少负面影响(例如非伤害性跌倒)的跌倒比例增加了。这项研究的结果填补了NDM和AAR文献中的空白,评估了NDM在医疗保健中的作用,特别是与从错误中学习有关。随着时间的流逝,自我指导的AAR对于从错误中学习的某些方面可能会很有用。

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