Machine Alarm Fatigue among Hemodialysis Nurses in 29 Tertiary Hospitals

Abstract

Objectives To understand the status quo and related influencing factors of machine alarm fatigue of hemodialysis nurses in tertiary hospitals in XXX. Methods This cross-sectional study employed convenience sampling to select 460 nurses from 29 tertiary hospitals in XXX, who are involved in hemodialysis care. Surveys were conducted using General Information Questionnaire, Alarm Fatigue Scale, National Aeronautics and Space Administration Task Load Index(NASA-TLX) and Maslach Burnout Inventory Scale (MBI). Results The overall machine alarm fatigue score for 460 hemodialysis nurses from 29 tertiary hospitals in XXX was (16.43±6.44), 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 (P < 0.05). Among them, years of experience in hemodialysis nursing, the number of patients managed per shift, and workload are positively correlated with alarm fatigue among hemodialysis nurses. Conclusion 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. These measures aim to improve the health and psychological well-being of hemodialysis nurses, provide a conducive environment for professional training in hemodialysis, and ultimately address the current situation of machine alarm fatigue among hemodialysis nurses.