ISSN 2097-6054(网络) ISSN 1672-9234(印刷) CN 11-5289/R
主管:中国科学技术协会 主办:中华护理学会
出版:中华护理杂志社
收录:中国科学引文数据库(CSCD)来源期刊
   中国期刊全文数据库
   中国核心期刊(遴选)数据库
   Scopus

中华护理教育 ›› 2025, Vol. 22 ›› Issue (8): 936-942.doi: 10.3761/j.issn.1672-9234.2025.08.007

• 学科发展与专业建设 • 上一篇    下一篇

我国护理学研究生导师队伍和研究方向情况分析

陈莉(), 王玉琼(), 汪张毅   

  1. 410013 长沙市 湖南师范大学护理学院(陈莉);610000 成都市 成都市妇女儿童中心医院(王玉琼);421001 衡阳市 湖南师范大学附属衡阳市中心医院科研教学部(汪张毅)
  • 收稿日期:2025-02-18 出版日期:2025-08-15 发布日期:2025-08-14
  • 通讯作者: 王玉琼
  • 作者简介:陈莉,女,本科(硕士在读),E-mail:1150962991@qq.com

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

CHEN Li(), WANG Yuqiong(), WANG Zhangyi   

  • Received:2025-02-18 Online:2025-08-15 Published:2025-08-14
  • Contact: WANG Yuqiong

摘要:

目的 了解中国内地护理研究生导师队伍结构及研究方向,为护理教育的发展提供参考。 方法 使用Python语言的Selenium爬虫框架收集并整理64所护理院校的研究生导师的公开信息数据,分析专职护理研究生导师年龄、学位、职称等个人一般资料情况及数量、研究方向、结构分布等总体情况,并对导师的一般资料特征进行潜在类别分析。 结果 在64所院校中共纳入1 158名护理研究生导师。导师的年龄、职称、学位特征被分为3个潜在类别,分别为新锐高知型(25.8%)、资深经验型(43.5%)和中坚精英型(30.7%)。Logistic回归分析结果显示,导师类型、院校层次、所在地区及工作单位是护理研究生导师潜在类别的影响因素(P<0.05)。 结论 护理研究生导师特征具有较强的异质性,可分为3个潜在类别。护理院校和附属医院可根据不同潜在类别的影响因素,对护理研究生导师进行统筹规划,以优化护理研究生导师队伍的结构和配置。

关键词: 护理, 研究生, Python, 导师, 研究方向

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