我国护理学研究生导师队伍和研究方向情况分析

doi:10.3761/j.issn.1672-9234.2025.08.007

Abstract

Abstract:

Objective To understand the structure and research directions of nursing graduate tutor teams in China，so as to provide references for the development of nursing education. Methods The public information of graduate tutors from 64 nursing colleges was collected and sorted using the Selenium crawler framework in Python. The personal general data（age，degree，professional title，etc.） and overall conditions（quantity，research directions，structural distribution，etc.） of full-time nursing graduate tutors were analyzed，and latent class analysis was conducted on the general data characteristics of the tutors. Results A total of 1，158 nursing graduate tutors from 64 colleges were included. The general data characteristics of the tutors were divided into three latent categories：cutting-edge highly educated type（25.8%），senior experienced type（43.5%），and core elite type（30.7%）. The logistic regression analysis showed that tutor type，college level，region，and work unit were significant factors influencing the latent categories of the general data of nursing graduate tutors（P<0.05）. Conclusion Nursing postgraduate supervisors are heterogeneous in their general profile characteristics and can be classed into three potential categories. Nursing colleges and affiliated hospitals can plan nursing postgraduate supervisors in an integrated manner according to the influencing factors of different potential classes in order to optimize the nursing postgraduate supervisory workforce.

Key words: Nursing, Postgraduate, Python, Mentors, Research direction

CHEN Li, WANG Yuqiong, WANG Zhangyi. Analysis of the structure and research direction of nursing postgraduate supervisors in China[J].Chinese Journal of Nursing Education, 2025, 22(8): 936-942.

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References 22

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Analysis of the structure and research direction of nursing postgraduate supervisors in China

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