Fatigue arising from excessive work demands is a known safety challenge in hospital nurses. This study aimed to determine which measures of work demands during nursing work are most predictive of hospital nurse fatigue levels at the end of the work shift. Measures of work demands of registered nurses from two hospital units in the United States were collected from organizational data sources, wearable sensors, and questionnaires. Fatigue levels were measured at the start and end of each shift using the Brief Fatigue Inventory. Multilevel linear regression analysis was used to predict end of shift fatigue based on work demand variables. The best fit model included multiple variables from organizational data sources and a physical activity variable measured by a wearable sensor. Organizational data can be used to create dynamic measures of work demands as they occur and predict end of shift fatigue levels in hospital nurses.

过度工作需求引起的疲劳是医院护士面临的一项已知安全挑战。本研究旨在确定护理工作期间哪些工作需求量度最能预测轮班结束时医院护士的疲劳程度。从组织数据源、可穿戴传感器和调查问卷中收集了美国两个医院单位注册护士的工作需求量度。在每个班次开始和结束时使用简要疲劳量表测量疲劳水平。多级线性回归分析用于基于工作需求变量预测轮班疲劳的结束。最佳拟合模型包括来自组织数据源的多个变量和由可穿戴传感器测量的身体活动变量。