广州医药 ›› 2023, Vol. 54 ›› Issue (3): 81-86.DOI: 10.3969/j.issn.1000-8535.2023.03.015

• 论著 • 上一篇    下一篇

基于共词聚类的护理人员职业倦怠研究热点及对策分析

阮洁慧, 饶红英   

  1. 广州市第一人民医院老年病科,华南理工大学附属第二医院(广州 510180)
  • 收稿日期:2022-05-23 出版日期:2023-03-20 发布日期:2023-04-14

Research hotspots and countermeasure analysis of job burnout of nursing staff based on co-word clustering

RUAN Jiehui, RAO Hongying   

  1. Department of Geriatrics, Guangzhou First People's Hospital, Second Affiliated Hospital of South China University of Technology, Guangzhou 510180, China
  • Received:2022-05-23 Online:2023-03-20 Published:2023-04-14

摘要: 目的 对 2017—2021年护理岗位人员的职业倦怠相关领域文献中的研究热点进行分析,以期让相关研究人员和卫生行政管理人员更加全面了解护理人员的职业倦怠情况。方法 本文基于共词聚类的研究方法,将从CNKI数据库中获取的护理人员职业倦怠研究文献运用BICOMB、gcluto 2.0和VOSviewer软件进行热点分析。结果 共有1 218篇护理人员职业倦怠相关文献纳入研究,分布在199本期刊中,共有关键词1 495个,出现频次≥10的关键词共有78个。通过共词聚类分析,护理人员职业倦怠研究可归纳为4大聚类热点:巴林特小组改善护理人员职业倦怠、心理资本与护理人员职业倦怠中介作用、护理人员工作压力、心理弹性及社会支持与职业倦怠、护理人员职业倦怠现状、影响因素及应对方式等。 结论 研究揭示了我国护理人员职业倦怠研究领域的研究现状及热点。

关键词: 护理人员, 职业倦怠, 共词聚类, 热点

Abstract: Objective Through the analysis of the research hotspots in the literature about job burnout of nursing staff from 2017 to 2021, relevant researchers and health administrators were expected to have a more comprehensive understanding of job burnout of nursing staff. Methods Based on the research method of co-word clustering, this paper used BICOMB and gcluto 2.0 and VOSviewer software to analyze the literatures on nursing burnout obtained from CNKI database. Results A total of 1 218 nursing staff burnout related literatures were included in the study, distributed in 199 journals, with 1 495 high-frequency subject words, 78 words with frequency≥10 times. Through word clustering analysis, nurses' job burnout research can be summarized as four clustering hotspots: bahrain's team to improve nurses' job burnout, psychological capital and the intermediary role of nurses' job burnout, nurses work pressure, resilience and social support and job burnout, nurses' job burnout status, influencing factors and coping methods, etc. Conclusions This study reveals the current situation and hotspots of nursing staff burnout research in China.

Key words: nursing staff, job burnout, co-word clustering, hotspots