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一种评估急性护理护士职业疲劳预测因素的人为因素方法。

A human factors approach to evaluate predicators of acute care nurse occupational fatigue.

机构信息

University of Iowa, College of Nursing, Iowa City, IA, USA.

University of Wisconsin Madison, School of Nursing, Wisconsin, Madison, USA.

出版信息

Appl Ergon. 2022 Apr;100:103647. doi: 10.1016/j.apergo.2021.103647. Epub 2021 Nov 24.

Abstract

Nurses function at the point of care and assume a significant role in intercepting errors. They work in a mentally and physically demanding profession that is comprised of shift-work, subjecting nurses to considerable fatigue. Yet, few studies constructed a comprehensive model that integrates personal and occupational factors to explore their relationship with various types of fatigue (acute, chronic, physical, mental, and total). Here, we examine this type of comprehensive fatigue-model, in a report that represents one aim of a larger, mixed-methods study. The study sample comprised of 1137 registered nurses working in eight hospitals in a Midwestern state. Nurses reported higher levels of acute and total fatigue than chronic and physical fatigue. Staffing and resource adequacy, exercise, and sleep were among the strongest predictors. Since fatigue is a multi-faceted construct, a comprehensive fatigue-management strategy that targets both day and night-shift nurses is the optimal way to manage nurse fatigue.

摘要

护士在护理点发挥作用,并在拦截错误方面发挥重要作用。他们从事脑力和体力要求都很高的职业,需要轮班工作,这使护士相当疲劳。然而,很少有研究构建一个综合模型,将个人和职业因素整合起来,探讨它们与各种类型的疲劳(急性、慢性、身体、精神和总体)之间的关系。在这里,我们研究了这种综合疲劳模型,这是一项更大的混合方法研究的一个目标报告。研究样本包括在中西部一个州的 8 家医院工作的 1137 名注册护士。护士报告说,急性和总疲劳比慢性和身体疲劳更严重。人员配备和资源充足、锻炼和睡眠是最强的预测因素。由于疲劳是一个多方面的概念,因此针对白班和夜班护士的全面疲劳管理策略是管理护士疲劳的最佳方法。

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