Appl Clin Inform 2024; 15(03): 533-543
DOI: 10.1055/a-2297-4652
Research Article

Machine Alarm Fatigue among Hemodialysis Nurses in 29 Tertiary Hospitals

Chaonan Sun
1   School of Nursing, Dalian Medical University, Dalian, Liaoning, China
Meirong Bao
2   Department of Otolaryngology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
Congshan Pu
1   School of Nursing, Dalian Medical University, Dalian, Liaoning, China
Xin Kang
1   School of Nursing, Dalian Medical University, Dalian, Liaoning, China
Yiping Zhang
1   School of Nursing, Dalian Medical University, Dalian, Liaoning, China
Xiaomei Kong
3   Department of Traditional Chinese Medicine, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
Rongzhi Zhang
4   Department of Center for Hemodialysis, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
› Author Affiliations


Objectives To understand the status quo and related influencing factors of machine alarm fatigue of hemodialysis nurses in tertiary hospitals in Liaoning Province.

Methods 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.

Results 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 (p < 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.

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. 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.

Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was reviewed by the Second Hospital of Dalian Medical University Review Board.

Co-first author.

Publication History

Received: 03 December 2023

Accepted: 26 March 2024

Accepted Manuscript online:
01 April 2024

Article published online:
10 July 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

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