• Fu-Yan Liu, Jia-Xi Sun, and Wen-Nv Hao.
• School of Nursing, Inner Mongolia Medical University, Hohhot, China.
• Medicine (Baltimore). 2024 Sep 6; 103 (36): e39570e39570.

AbstractTo understand the current saturation of emergency nurses' risk perception and its influencing factors, and to explore the correlation between emergency nurses' risk perception and nurse's safety behavior. This study is a cross-sectional study. From January 2024 to February 2024 using the questionnaire star online survey method. The convenience sampling method was used to survey nurses in the emergency departments of 5 hospitals in China. Male and female emergency nurses (n = 189) from China were included in the final sample. Nursing risk perception questionnaire and nurses safety behavior scale were used for evaluation. The collected data were comprehensively analyzed using various statistical methods, including descriptive analysis, 2 independent samples t-test mean comparison, 1-way analysis of variance for differences, multiple linear regression analysis to identify influencing factors, and Pearson correlation analyze correlations. All analyses were performed using SPSS version 26.0, and P < .05 was considered statistically significant (2-sided). The emergency nurses score was (87.08 ± 20.18) on the risk perception scale, scoring rate 62.2%. The results of multiple regression showed that age, marital status, education level, professional title, monthly income level, and safety behaviors were the main factors influencing the risk perception of emergency nurses (P < .05). The results of correlation analysis showed a positive correlation between the dimensions of nurses' risk perception and safety behaviors (R = 0.636, P < .01). Age, marriage, education level, years of work experience, professional title, duties. engagement type, monthly income level, participation in teaching work, safety training, and no adverse events were the influencing factors of risk perception. The research results emphasize that risk perception of emergency nurses has a positive prediction effect on safe behavior. It is suggested that nursing managers should optimize nursing workflow and human resource allocation, strategically add occupational risk training to vocational training, and strengthen nurses' safety behaviors.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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