Study on the status and latent profile of decision fatigue in nurses
10.20001/j.issn.2095-2619.20241013
- VernacularTitle:护士决策疲劳现状与潜在剖面分析
- Author:
Manzhi GAO
1
;
Jiefen OU
;
Rui WANG
;
Jiahui ZHOU
;
Kangjiao XIAO
Author Information
1. School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510315, China
- Publication Type:Journal Article
- Keywords:
Nurse;
Decision fatigue;
Work environment;
Job stress;
Resilience;
Latent profile analysis;
Influencing factors
- From:
China Occupational Medicine
2024;51(5):555-561
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the current status and latent profiles on the decision fatigue of nurses. Methods A total of 812 nurses from four public tertiary hospitals in Guangdong Province were selected as the research subjects using the convenience sampling method. The Decisional Fatigue Scale, the Nursing Work Environment Scale, the Nurses Job Stress Scale, and the Chinese version of 10-item Connor-Davidson Resilience Scale were used to assess the level of decision fatigue, work environment, job stress level, and resilience among nurses. The characteristics of latent profiles on the decision fatigue of nurses were analyzed, and multinomial logistic regression was used to analyze the influencing factors of latent profiles on the decision fatigue of nurses. Results The median and 25th and 75th percentiles of the scores of the decision fatigue of nurses were 10.0 (9.0, 15.0). The average scores for work environment, job stress, and resilience were (107.9±24.0), (86.1±23.8), and (23.6 ± 8.3), respectively. The result of latent profile analysis showed that the decision fatigue of nurses could be classified into three types: low fatigue-energetic, medium fatigue-avoidant and high fatigue-burnout, accounting for 15.0%, 59.6%, and 25.4%, respectively. The results of multinomial logistic regression showed that the risk of being classified as medium fatigue-avoidant was higher among practice nurse than nurse (P<0.05). Nurse with a monthly income of 5 000 to 10 000 yuan had higher risk of being classified as medium fatigue-avoidant than those with >10 000 yuan (P<0.05). And nurse with poorer work environment scores had higher risk of being classified as medium fatigue-avoidant than those with higher scores (P<0.01). Nurse with higher score on job stress and lower score on resilience had higher risk of being classified as medium fatigue-avoidant and high fatigue-burnout, than those with lower score of job stress and higher score on resilience (all P<0.01). Conclusion There is a heterogeneity in the decision fatigue of nurses, which can be categorized into three categories: low fatigue-energetic, medium fatigue-avoidant and high fatigue-burnout. The influencing factors of latent profile on the decision fatigue of nurses are job title, individual monthly income, work environment, job stress, and resilience.
