与薬における看護師のリスクテイキング行動の現状— 医療事故報告内容のテキストマイニングによる分析 —

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  • Current status of nurses' risk-taking behavior during drug administration:Analysis of accident reports by text mining

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This study aimed to clarify the status of nurses’ risk-taking behavior during drug administration. Risk-taking behavior was analyzed by text mining using the data published on the Japan Medical Function Evaluation Organization website. Text mining focused on the reported contents regarding accident-related factors. We have extracted the following four categories: [Low risk awareness and poor compliance with rules], [Forgetfulness and optimistic judgment due to multiple tasks], [Omission of tasks due to overconfidence in self-management ability], and [Prescription confirmation and poor information transmission due to overwork]. Nurses were less aware of the risks involved during drug administration, resulting in the omission of work and optimistic judgment. Furthermore, risk-taking behaviors happened because of time pressure and communication between nurses. This situation was judged, and the action was decided according to one’s perception. Therefore, nurses need to understand how to perceive their risks, patterns of thinking and judgment, and the situation of risk-taking behavior.

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