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使用美国国家航空航天局任务负荷指数评估麻醉后护理中的工作量。

Assessment of workload using NASA Task Load Index in perianesthesia nursing.

作者信息

Young Gloria, Zavelina Lyubov, Hooper Vallire

机构信息

Medical College of Georgia Hospital and Clinics, Augusta, GA, USA.

出版信息

J Perianesth Nurs. 2008 Apr;23(2):102-10. doi: 10.1016/j.jopan.2008.01.008.

DOI:10.1016/j.jopan.2008.01.008
PMID:18362006
Abstract

According to the Institute of Medicine (IOM), as many as 44,000 to 98,000 people in the United States die in hospitals every year due to medical errors. Multiple physiological and psychological factors can impact the health care provider's attention span, making medical errors more likely. Some of these factors include increased workload, fatigue, cognitive overload, ineffective interpersonal communications, and faulty information processing. Postanesthesia nurses, responsible for providing care to unstable patients emerging from anesthesia with multiple life-threatening conditions, must make critical decisions on a minute-by-minute basis. The current ASPAN Patient Classification/Recommended Staffing Guidelines does not adequately take into account varying care requirements among the patients. If a tool could be found that effectively evaluated staff's workload, ongoing assessment would be enhanced and resources better used. The National Aeronautics and Space Administration-Task Load Index (NASA-TLX), a multifaceted tool for evaluating perceptual (subjective) workload, has seen extensive applications and is widely regarded as the strongest tool available for reporting perceptions of workload. This article will survey various uses of the NASA-TLX and consider the potential uses for this tool in perianesthesia nursing.

摘要

根据美国医学研究所(IOM)的数据,在美国,每年多达44000至98000人在医院因医疗差错死亡。多种生理和心理因素会影响医护人员的注意力持续时间,从而增加医疗差错的可能性。其中一些因素包括工作量增加、疲劳、认知过载、无效的人际沟通以及错误的信息处理。麻醉后护理护士负责照顾从麻醉中苏醒过来、患有多种危及生命疾病的不稳定患者,必须每分钟都做出关键决策。目前美国麻醉后护理协会(ASPAN)的患者分类/推荐人员配置指南没有充分考虑患者之间不同的护理需求。如果能找到一种有效评估员工工作量的工具,持续评估将得到加强,资源也能得到更好的利用。美国国家航空航天局任务负荷指数(NASA-TLX)是一种用于评估感知(主观)工作量的多维度工具,已得到广泛应用,并被广泛认为是用于报告工作量感知的最强大工具。本文将探讨NASA-TLX的各种用途,并考虑该工具在麻醉后护理中的潜在用途。

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