摘要
目的比较国内外护理敏感性质量指标的研究热点与前沿,了解目前护理敏感性质量指标的研究现状,为改进护理质量提供借鉴和参考。方法以“护理敏感性质量指标”“nursing sensitive quality indicator”为中英文检索词,应用CiteSpaceⅤ软件对CNKI建库至2020年6月和Web of Science核心合集数据库2014—2020年收录的综述以及研究性文献进行计量学分析,并对高频关键词、关键词共现以及突发词进行可视化分析。结果共检索到有效中文文献262篇、英文文献789篇,整体发文量呈上升趋势。国外研究重点在护理敏感性质量指标的结局、专科护理实践的应用以及指标研制的方法,国内研究热点主要集中在不良事件、质量控制等方面。结论国内护理敏感性质量指标的研究不断加强,未来可以从指标信息化的处理、研制方法、应用推广等方面继续深入研究。
Objective To compare research hotspots and frontiers of nursing sensitive quality indicators at home and abroad and to understand the current research status of nursing sensitive quality indicators,so as to provide reference for improving nursing quality.Methods Using"nursing sensitive quality indicators"and"nursing sensitive quality indicators"as the Chinese and English search terms,CiteSpaceⅤsoftware was used to conduct a quantitative analysis of the reviews and research literatures collected by CNKI from the establishment of CNKI database to June 2020 and by Web of Science core collection database from 2014 to 2020.High-frequency keywords,keyword co-occurrence and burst words were carried out visual analysis.Results A total of 262 valid Chinese reviews and 789 English reviews were retrieved and the overall publication volume was on the rise.Foreign research focused on the outcome of nursing sensitivity quality indicators,the application of specialist nursing practice and the methods of indicator development,while domestic research focused mainly on adverse events,quality control and other aspects.Conclusions Domestic researches on nursing sensitivity quality indicators has been continuously strengthened.In the future,in-depth researches can be continued in the aspects of processing,development methods and application promotion of indicator information.
作者
章琛越
朱雪娇
邢梦婷
杨旻
Zhang Chenyue;Zhu Xuejiao;Xing Mengting;Yang Min(School of Nursing,Hangzhou Normal University,Hangzhou 310000,China)
出处
《中华现代护理杂志》
2021年第10期1294-1300,共7页
Chinese Journal of Modern Nursing
基金
浙江省科技计划项目(2020C35053)。
关键词
护理质量审核
护理敏感性质量指标
可视化分析
研究热点
Nursing quality audit
Nursing sensitivity quality indicators
Visual analysis
Research hotspot