Bibliometric analysis of nursing risk prediction model based on Web of Science
10.3760/cma.j.cn115682-20211213-05619
- VernacularTitle:基于Web of Science的护理风险预测模型的文献计量学分析
- Author:
Jing WANG
1
;
Lingli LI
;
Chunlin ZHAO
;
Xue YANG
;
Tingting HE
;
Linyan YUAN
Author Information
1. 四川大学华西护理学院/四川大学华西医院，成都 610041
- Keywords:
Nursing care;
Risk prediction model;
CiteSpace;
Visual analysis
- From:
Chinese Journal of Modern Nursing
2022;28(29):4018-4025
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the research hotspots and trends of risk prediction models in nursing at home and abroad.Methods:The visual analysis software CiteSpace was used, and the Web of Science was used as the data source. The publication situation of the risk prediction model in nursing was visually analyzed, mainly including time distribution, country/research institution cooperation network, journal collinear network, co-citation, keywords and emerging words.Results:A total of 684 articles were included. The number of publications on the risk prediction in nursing was on the rise. The United States was the country that contributed the most to the number of publications, and China ranked second. The Journal of Advanced Nursing was the most published journal. In terms of institutions and authors, the cooperation was not close. Research hotspots mainly focused on pressure injuries, falls, and nurses' burnout. Adverse event prediction, patient prognosis and intelligent data mining were the key research directions. Conclusions:Compared with international ones, the research on nursing risk prediction in China still needs to be strengthened. Future research can broaden the direction, perfect the existing model and carry out verification and improvement, so as to provide a good reference for nursing work.
