目的 了解国内护理期刊风险预测模型的研究领域整体情况，分析研究发展状况及研究热点。方法 计算机检索中国知网、维普、万方数据、中国生物医学数据库4个数据库建库至2023年7月31日护理期刊收录的风险预测模型相关研究文献。采用Note Express软件合并去重，采用Cite Space 6。1软件绘制关键词、突现词知识图谱并进行分析。结果 共纳入文献534篇，文献来源于25种期刊，其中《护理研究》发文最多，关键词中"危险因素"出现频次最高。研究热点为聚焦于于谵妄、低体温、压力性损伤等不良事件的风险因素识别与管理，研究人群涉及重症监护病房患者及老年人。肠内营养并发症如肠内营养相关性腹泻及静疗置管并发症如导管相关性血流感染的预防及管理是近年来的研究趋势。结论 近年来，护理期刊风险预测模型发文量显著增加，未来需要进一步完善研究设计，完善现有的模型验证并修正改进，以期建立科学、精准、高质量的风险预测模型，为患者提供针对性护理。
Analysis of the research hotspots on risk prediction model in domestic nursing journals
Objective To understand the overall situation of the research field of risk prediction model in domestic nursing journals,and analyze the research development and research hotspots.Methods The related research litera-ture of risk prediction model included in nursing journals from the establishment of China CNKI,VIP,Wanfang da-ta,and China Biomedical Database to July 31st,2023 was searched by computer.NoteExpress software was used to merge and remove duplicates,and the knowledge map of keywords and emergent words was drawed and analyzed by Cite Space 6.1 software.Results A total of 534 articles were included,which were from 25 journals,among which Nursing Research published the most,and'risk factors'in keywords appeared the most frequently.The research fo-cused on the identification and management of risk factors of adverse events such as delirium,hypothermia,and stress injury,and the research population involved patients in intensive care unit and the elderly.The prevention and management of enteral nutrition complications such as enteral nutrition-related diarrhea and catheter-related compli-cations such as catheter-related bloodstream infection are the research trends in recent years.Conclusion In recent years,the number of risk prediction model articles published in nursing journals increased significantly,and in the future,it is necessary to further improve the research design,improve the existing model verification and modify it,in order to establish a scientific,accurate,and high-quality risk prediction model,so as to provide the targeted care for patients.
万方数据
维普
