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医院中可听警报声的组织:一项卡片分类研究。

Organizing Audible Alarm Sounds in the Hospital: A Card-Sorting Study.

作者信息

Wright Melanie C, Radcliffe Sydney, Janzen Suzanne, Edworthy Judy, Reese Thomas, Segall Noa

机构信息

Idaho State University, Meridian, ID 83642 USA.

Saint Alphonsus Regional Medical Center, Boise, ID 83706 USA.

出版信息

IEEE Trans Hum Mach Syst. 2020 Dec;50(6):623-627. doi: 10.1109/thms.2020.3019363. Epub 2020 Sep 14.

Abstract

In hospitals, clinicians are presented with varied and disorganized alarm sounds from disparate devices. While there has been attention to reducing inactionable alarms to address alarm overload, little effort has focused on organizing, simplifying, or improving the informativeness of alarms. We sought to elicit nurses' tacit interpretation of alarm events to create an organizational structure to inform the design of advanced alarm sounds or integrated alert systems. We used open card sorting to evaluate nurses' perception of the relatedness of different alarm events. Seventy hospital nurses sorted 89 alarm events into groups they believed could or should be indicated by the same sound. We conducted factor analysis on a similarity matrix of frequency of alarm event pairings to interpret how strongly alarm events loaded on different alarm groups (factors). We interpreted participants' grouping rationale from their group labels and comments. Urgency of response was the most common grouping rationale. Participants also grouped: 1) monitoring-related events, 2) device-related events, and 3) events related to calls and patients. Our findings support standardization and integration of alarm sounds across devices toward a simpler and more informative hospital alarm environment.

摘要

在医院里,临床医生会收到来自不同设备的各种杂乱无章的警报声。虽然人们已经关注减少不可操作的警报以应对警报过载,但很少有人致力于对警报进行组织、简化或提高其信息性。我们试图引出护士对警报事件的隐性解读,以创建一个组织结构,为先进警报声或集成警报系统的设计提供信息。我们使用开放式卡片分类法来评估护士对不同警报事件相关性的认知。70名医院护士将89个警报事件分成他们认为可以或应该用相同声音表示的组。我们对警报事件配对频率的相似性矩阵进行因子分析,以解释警报事件在不同警报组(因子)上的加载强度。我们从参与者的组标签和评论中解读他们的分组理由。响应的紧迫性是最常见的分组理由。参与者还将以下内容分组:1)与监测相关的事件,2)与设备相关的事件,3)与呼叫和患者相关的事件。我们的研究结果支持跨设备对警报声进行标准化和集成,以实现更简单、信息更丰富的医院警报环境。

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本文引用的文献

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