期刊文献+

近5年来《中国卫生质量管理》刊载论文研究热点探析 被引量:3

Research Hotspots of Papers Published in the Journal of Chinese Health Quality Management in Recent Five Years
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摘要 目的分析《中国卫生质量管理》杂志2015年-2019年刊载文献的研究热点。方法在中国知网《中国学术期刊(网络版)》数据库检索《中国卫生质量管理》杂志2015年-2019年刊载的文献,统计关键词频次,采用BICOMB2构建关键词共现矩阵,导入Ucinet 6.0进行可视化分析。结果纳入文献1195篇,使用关键词2251个、4449次。使用高频关键词30个、880次,可视化分析发现,主要的热点关键词为医疗质量、医院、品管圈、患者安全及信息化。结论5年来《中国卫生质量管理》杂志刊载的论文研究热点与该刊的栏目设置相一致,杂志以医疗质量为核心,聚焦医疗改革成果,关注先进管理理念在医疗卫生质量管理中的应用与扩展,能够较好地反映当前我国卫生质量领域的最新发展动态和研究趋势,对从事该领域的研究人员具有较高参考价值。 Objective To analyze the research hotspots of literatures published in the Journal of Chinese Health Quality Management from 2015 to 2019.Methods The literatures published in Chinese Health Quality Management from 2015 to 2019 were searched in the China Academic Journal Network Publishing Database.The frequency of key words was counted.The key words co-occurrence matrix was constructed by BICOMB2,and visual analysis was carried out by UCINET6.0.Results A total of 1195 papers were selected,2251 key words were used with 4449 times.30 high-frequency keywords with 880 times were used.Visual analysis found that the main hot keywords were medical quality,hospital,quality control circle,patient safety and informatization.Conclusion In the past five years,the research hotspots of papers published in the Journal of Chinese Health Quality Management were consistent with the column setting of the journal.The journal taked medical quality as the core,focused on the results of medical reform,and pay attention to the application and expansion of advanced management concepts in medical and health quality management.The journal can well reflect the latest developments and research trends in the field of health quality in China,which had high reference value for researchers in this field.
作者 王侠 吕传禄 刘兰辉 WANG Xia;LV Chuanlu;LIU Lanhui(Naval Medical University,Shanghai,200433,China;不详)
出处 《中国卫生质量管理》 2021年第1期21-24,共4页 Chinese Health Quality Management
关键词 《中国卫生质量管理》杂志 文献研究 关键词 共现矩阵 可视化分析 知识图谱 Journal of Chinese Health Quality Management Literature Research Keywords Co-Occurrence Matrix Visual Analysis Knowledge Graph
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