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首页> 外文期刊>The International journal of risk & safety in medicine. >Simulated medication errors: A means of evaluating healthcare professionals' knowledge and understanding of medication safety
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Simulated medication errors: A means of evaluating healthcare professionals' knowledge and understanding of medication safety

机译:模拟药物错误:一种评估医疗保健专业人员的知识和对药物安全的理解的手段

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OBJECTIVE: To determine multi-disciplinary perceptions of the clinical significance of medication errors (MEs), the responsible health professional(s), the contributing factors and potential preventive strategies. METHODS: The five simulated ME cases represented errors from five wards at a children's hospital in Australia. Predetermined answers for each case were developed through consensus among the researchers. The root cause analysis (RCA) was undertaken via a questionnaire disseminated to physicians, nurses and pharmacists at the study hospital to seek their opinions on the ME cases. Agreement model between the participants and pre-determined responses regarding the contributing factors was conducted using general estimating equation (GEE) analysis. RESULTS: Of the 111 RCA questionnaires distributed, 25 were returned. The majority (93%) of respondents rated the significance of the MEs as either 'moderate' or iife-threatening'. Furthermore, they correctly identified two contributing factors relevant to all cases: dismissal of policies/procedures or guidelines (90%) and human resources issues (87%). GEE analysis revealed varied agreement patterns across the contributing factors. Suggested prevention strategies focused on policy and procedures, staffing and supervision, and communication. CONCLUSION: Simulated case studies had potential use to seek front-line healthcare professionals' understanding of the clinical significance and contributing factors to MEs, along with preventive measures.
机译:目的:确定对药物错误(MES),负责卫生专业人员,贡献因素和潜在预防策略的临床意义的多学科看法。方法:五项模拟我的案例在澳大利亚儿童医院的五个病房出现了错误。通过研究人员之间的共识开发了每种情况的预定答案。通过调查问卷通过向研究医院传播给医生,护士和药剂师的调查问卷进行根本原因分析(RCA),以寻求对我的案件的看法。参与者与关于贡献因子的预先确定的协议模型使用一般估算方程(GEE)分析进行了贡献因子。结果:在分布的111 RCA问卷中,25次返回。大多数(93%)的受访者评定了MES作为“中等”或威胁性“的重要性。此外,他们正确确定了与所有案件相关的两种贡献因素:解雇政策/程序或指南(90%)和人力资源问题(87%)。 GEE分析揭示了各种贡献因素的各种协议模式。建议的预防策略专注于政策和程序,人员配置和监督和沟通。结论:模拟案例研究有潜在用来寻求前线医疗保健专业人员对MES的临床意义和促进因素的理解,以及预防措施。

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