School of Nursing, Dalian Medical University, Dalian, Liaoning, China.
Department of Otolaryngology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Appl Clin Inform. 2024 May;15(3):533-543. doi: 10.1055/a-2297-4652. Epub 2024 Apr 1.
To understand the status quo and related influencing factors of machine alarm fatigue of hemodialysis nurses in tertiary hospitals in Liaoning Province.
This cross-sectional study employed convenience sampling to select 460 nurses from 29 tertiary hospitals in Liaoning Province, who are involved in hemodialysis care. Surveys were conducted using the General Information Questionnaire, Alarm Fatigue Scale, National Aeronautics and Space Administration Task Load Index, and Maslach Burnout Inventory Scale.
The overall machine alarm fatigue score for 460 hemodialysis nurses from 29 tertiary hospitals in Liaoning Province was 17.04 ± 3.21, indicating a moderate level. The multiple linear regression analysis shows that years of experience in hemodialysis nursing, the number of patients managed per shift, whether specialized nursing training has been received, self-reported health status, emotional exhaustion, and workload have statistically significant associations with alarm fatigue among hemodialysis nurses ( < 0.05). Among them, the years of experience in hemodialysis nursing are negatively correlated with alarm fatigue among hemodialysis nurses, whereas the number of patients managed per shift and workload are positively correlated with alarm fatigue among hemodialysis nurses.
This study indicates that certain demographic factors, workload, and occupational burnout are associated with machine alarm fatigue among hemodialysis nurses. Therefore, hemodialysis-related managers should establish a Machine Alarm Management System, implement Personalized Thresholds and Delayed Alarms, ensure reasonable staffing arrangements, improve compassion fatigue, and enhance anticipatory care. Our findings have implications for improving the health and well-being of hemodialysis nurses, providing a conducive environment for professional training in hemodialysis, and ultimately addressing the current situation of machine alarm fatigue among hemodialysis nurses.
了解辽宁省三级医院血液透析护士机器报警疲劳的现状及相关影响因素。
本横断面研究采用便利抽样法,选取辽宁省 29 家三级医院参与血液透析护理的 460 名护士。采用一般资料问卷、报警疲劳量表、美国国家航空航天局任务负荷指数和 Maslach 职业倦怠量表进行调查。
辽宁省 29 家三级医院 460 名血液透析护士的机器报警疲劳总分为 17.04±3.21,处于中等水平。多元线性回归分析显示,血液透析护理工作年限、每班管理的患者数、是否接受过专科护理培训、自我报告的健康状况、情绪耗竭和工作量与血液透析护士的报警疲劳呈显著相关( < 0.05)。其中,血液透析护理工作年限与血液透析护士的报警疲劳呈负相关,而每班管理的患者数和工作量与血液透析护士的报警疲劳呈正相关。
本研究表明,某些人口统计学因素、工作量和职业倦怠与血液透析护士的机器报警疲劳有关。因此,血液透析相关管理人员应建立机器报警管理系统,实施个性化阈值和延迟报警,确保合理的人员配置,改善同情疲劳,并加强预期护理。我们的研究结果对改善血液透析护士的健康和福祉、为血液透析专业培训提供有利环境以及解决血液透析护士机器报警疲劳的现状具有重要意义。