Exploring the factors influencing alarm fatigue in intensive care units nurses: A cross-sectional study based on latent profile analysis

Liya Li, Wenxia Zhang and Yanling Chen

PLOS ONE, 2025, vol. 20, issue 7, 1-12

Abstract: Objective: To identify potential categories of alarm fatigue among ICU nurses and to explore the differences in characteristics and influencing factors among different categories. Methods: Using convenience sampling, 597 ICU nurses from 12 tertiary public hospitals across 8 cities in the Inner Mongolia Autonomous Region of China were recruited from September 2024 to December 2024. A cross-sectional survey was conducted using the General Information Questionnaire, ICU Nurses’ Alarm Fatigue Scale, Stanford Presenteeism Scale: Health Status and Employee Productivity, and Nurses’ Emotional Labor Scale. Potential profiles of nurse alarm fatigue were analyzed, and the influencing factors of different profiles were explored by univariate analysis and multivariate logistic regression analysis. Results: The median alarm fatigue scale score was 26(IQR = 19.75–31), and the alarm fatigue of ICU nurses could be categorized into low fatigue-robust tolerance group (30.8%), moderate fatigue (54.4%), and high fatigue-negative coping group (14.9%). The regression analyses showed that the number of children, the frequency of night shifts, the health status and employee productivity score, and the emotional labor score were the main factors of the ICU factors influencing different potential categories of nurse alarm fatigue (P

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0327644

DOI: 10.1371/journal.pone.0327644

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