瑞典注册护士麻醉师对困难气道算法的理解。
Swedish Registered Nurse Anesthetists' Understanding of Difficult Airway Algorithms.
机构信息
Faculty of Health and Occupational Studies, Department of Caring Sciences, University of Gävle, Gävle, Sweden.
Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, University Hospital, Uppsala, Sweden.
出版信息
J Perianesth Nurs. 2022 Oct;37(5):706-711. doi: 10.1016/j.jopan.2021.12.008. Epub 2022 Mar 5.
PURPOSE
To explore Swedish registered nurse anesthetists' (RNAs') different ways of understanding difficult airway algorithms.
DESIGN
A qualitative study design, using a phenomenographic approach, was chosen to describe variations in RNAs' understanding of difficult airway algorithms.
METHODS
Individual interviews were conducted with eighteen RNAs working at three hospitals in Sweden. The data were analyzed using a qualitative method.
FINDINGS
Three ways of understanding algorithms were identified: (1) Algorithms constitute a plan not communicated at the clinic; (2) Algorithms constitute a shared plan to improve teamwork; (3) Algorithms constitute a plan for how to think and work systematically.
CONCLUSIONS
According to the RNAs, airway management algorithms should be discussed more openly at the workplace. RNAs expressed their desire to have a shared algorithm and to use it as a tool during team simulations. Airway algorithms were seen as constituting a plan for how to think and work systematically to improve patient safety.
目的
探讨瑞典注册护士麻醉师（RNAs）理解困难气道算法的不同方式。
设计
选择了定性研究设计，采用现象学方法，来描述 RNAs 对困难气道算法理解的差异。
方法
对瑞典三家医院的 18 名 RNAs 进行了个人访谈。使用定性方法对数据进行了分析。
结果
确定了三种理解算法的方式：（1）算法构成了未在临床传达的计划；（2）算法构成了改善团队合作的共同计划；（3）算法构成了如何系统思考和工作的计划。
结论
根据 RNAs 的说法，气道管理算法应该在工作场所更公开地进行讨论。RNAs 表示希望有一个共同的算法，并在团队模拟中使用它作为工具。气道算法被视为构成了如何系统思考和工作以提高患者安全性的计划。
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