基于Web of Science的护理风险预测模型的文献计量学分析

Bibliometric analysis of nursing risk prediction model based on Web of Science

目的:了解国内外护理领域风险预测模型的研究热点与趋势。方法:采用可视化分析软件CiteSpace,以Web of Science数据库为数据源,对风险预测模型在护理领域的载文情况,主要包括时间分布、国家/研究机构合作网络、期刊共线网络、共被引、关键词及突现词等方面进行可视化分析。结果:共纳入684条文献。风险预测在护理领域的发文量整体呈上升趋势;美国是发文量贡献最大的国家,中国位列第2名,Journal of Advanced Nursing为发文量最多的期刊;在机构、作者方面,合作并不密切。研究热点主要集中于压力性损伤、跌倒、护士职业倦怠等方面,不良事件预测、患者预后转归、智能数据挖掘是未来的重点研究方向。结论:相较于国际,我国护理在风险预测方面的研究还有待加强,未来研究可以拓宽研究方向,完善现有模型并进行验证改进,为护理工作提供良好的参考依据。

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.