Visual analysis of research progress on nurses′ turnover intentions in China
10.3760/cma.j.cn211501-20210720-02049
- VernacularTitle:国内护士离职倾向/意愿研究的可视化分析
- Author:
Xueping SHI
1
;
Xiwei DING
;
Wen LI
Author Information
1. 南京鼓楼医院消化内镜中心，南京 210008
- Keywords:
Nurses;
Visual analysis;
Job satisfaction;
Turnover intention
- From:
Chinese Journal of Practical Nursing
2022;38(32):2536-2542
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To summarize the research progress of domestic nurses′ turnover intentions in the past ten years, and to provide references for related research on improving nurses′ turnover intentions.Methods:In May 2021, the documents related to nurses′ resignation intentions were retrieved in China National Knowledge Infrastructure (CNKI), Wanfang and VIP database and Citespace5.7.R5 software was used to perform keyword visualization analysis to form keyword clustering graphs and tables, emergent words, and corresponding time zones figure, the current research status and hot trends of nurses′ turnover intentions were analyzed.Results:A total of 2 029 valid documents were retrieved, the number of publications reached the highest peak in 2019. Among them, "nurse", "willingness to leave", "job satisfaction", "turnover intention" and "influencing factors" were the top 5 hot keywords and 23 emergent words were generated; research directions mainly included influencing factors and research objects and workplace related topics.Conclusions:Managers should actively play a leadership role to reduce nurses′ turnover intention through various effective intervention studies.
