与药物错误相关的事件以及涉及护士行为减少日本药物错误的相关因素:基于贝叶斯网络建模的因子分析和场景分析
Naotaka Sugimura1, Katsuhiko Ogasawara1,2
1Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan.
Journal of educational evaluation for health professions
|June 11, 2024
概括
在日本,护士的知识和行为显著影响了药物错误. 关键因素包括未能确认"五项权利",操作不熟悉,药物知识不足,突出需要加强患者安全教育.
科学领域:
- 护理科学 护理科学
- 医疗信息学 医疗信息学
- 患者安全研究 患者安全研究
背景情况:
- 药物错误在医疗保健环境中构成重大风险.
- 了解影响护士知识和行为的因素对于预防错误至关重要.
- 贝叶斯网络建模为分析医疗保健数据中的复杂关系提供了强大的方法.
研究的目的:
- 确定药物错误与影响日本护士知识和行为的因素之间的关系.
- 利用贝叶斯网络建模和场景分析来确定关键的贡献因素.
- 为护理学生和专业人员提供有关患者安全和药物管理的教育策略的信息.
主要方法:
- 混合方法方法结合从事件报告中进行定性提取和定量贝叶斯网络分析.
- 来自日本质量医疗保健委员会数据库 (2022) 的119个事件报告的分析.
- 使用贝叶斯网络分析和场景分析来估计概率的5层流量模型的开发.
主要成果:
- 确定了10种类型的药物错误事件.
- 贝叶斯网络分析揭示了药物错误与诸如"未能确认5项权利"",不熟悉药物操作"",药物知识不足"",假设和遗忘"等因素之间的重要关联.
结论:
- 该研究估计了缓解护士行为因素导致药物错误的影响.
- 开发的流动模型可以作为事件后行为反思的教育工具.
- 在护理课程中强调患者安全教育的全球重要性,并制定综合教育计划.
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