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Journal of Nursing ›› 2023, Vol. 30 ›› Issue (11): 17-21.doi: 10.16460/j.issn1008-9969.2023.11.017

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Latent profile and influencing factors of empathy of nursing students at early stage of internship

GONG Shu-ping1, WANG Xiao-min2, JIANG Yu-xiao1,3, SUN Xiao-ying1, ZHAO Xiao-min1   

  1. 1. School of Nursing, Binzhou Medical University, Yantai 264003, China;
    2. The Second Hospital of Shandong University, Jinan 250033, China;
    3. No. 960 Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Jinan 250031, China);
  • Received:2022-11-02 Online:2023-06-10 Published:2023-07-10

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Abstract: Objective To explore the latent categories of empathy of nursing students at early stage of internship, and analyze the characteristics and influencing factors of different categories. Methods A cluster of 367 nursing interns from two tertiary grade-A general hospitals in Shandong Province from June to August 2022 were selected and investigated with General Information Questionnaire, Jefferson Scale of Empathy Health Professional, and the Professional Self-concept of Nurses Instrument. The latent profile analysis was used to classify the empathy of nursing students, and binary logistic regression was used to determine the influencing factors of empathy. Results The empathy of nursing interns was divided into two latent categories, high-selection low-emotion low-thinking group (low empathy group, 11.72%) and high-selection high-emotion high-thinking group (high empathy group, 88.28%). The latent categories of empathy of nursing students at early stage of the internship were affected by family residence, professional skills, and communications (P<0.05). Conclusion There is heterogeneity in empathy of nursing students at early stage of internship. Nursing educators and managers should pay more attention to nursing students with lower level of empathy and formulate targeted interventions according to different influencing factors.

Key words: nursing student, early stage of internship, empathy, latent profile analysis

CLC Number: 

  • R47
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