摘要
目的:使用文献计量学方法分析我国心系疾病中医护理研究现状及热点。方法:检索中国知网、万方数据库、中国生物医学文献数据库、维普数据库中的心系疾病中医护理相关研究,对纳入的文献进行可视化分析。结果:心系疾病中医护理研究文献量总体呈上升趋势,但作者及各研究机构间的合作不足,研究症状主要有便秘、焦虑、抑郁和失眠等,心系疾病中医护理研究领域更加关注老年群体,提倡辨证施护、舒适护理,以提高病人生活质量为目标。结论:心系疾病中医护理相关研究文献量较少,作者与研究机构间的合作有待加强,需优化心系疾病中医护理方案,为临床护士开展辨证施护、实施适宜的中医护理技术提供参考,推动中医护理长期、稳定地发展。
Objective:To analyze the status quo and hotspots of Chinese medicine nursing research on cardiac diseases in China by bibliometric methods.Methods:Literature related to Chinese medicine nursing research on cardiac diseases was retrieved from China National Knowledge Infrastructure,WanFang Database,China Biology Medicine database,and VIP database.Literature included was used for visual analysis.Results:The overall volume of Chinese medicine nursing research on cardiac diseases showed upward trend.However,the collaboration among authors and research institutions was insufficient.The hotspots symptoms studied mainly were constipation,anxiety,depression,and insomnia and so on.The research field of Chinese medicine nursing research on cardiac diseases paid more attention to the elderly,advocates dialectical nursing and comfortable nursing,with the goal of improving the quality of life of patients.Conclusions:The quantity of Chinese medicine nursing research on cardiac diseases is less.The collaboration among authors and research institutions needs improvement.Chinese medicine nursing plans on cardiac diseases need to be optimized,so sa to providing reference for clinical nurses to carry out dialectical nursing and implement appropriate Chinese medicine nursing techniques,and promoting the long-term and stable development of Chinese medicine nursing.
作者
房丽
马琳琳
文杰
王柯文
刘迎秋
杨云
FANG Li;MA Linlin;WEN Jie;WANG Kewen;LIU Yingqiu;YANG Yun(Xiyuan Hospital of China Academy of Chinese Medical Sciences,Beijing 100091 China)
出处
《护理研究》
北大核心
2024年第14期2468-2475,共8页
Chinese Nursing Research
基金
中国中医科学院科技创新工程重大攻关项目,编号:C12021A03215。
关键词
心衰病
眩晕病
胸痹心痛病
中医护理
文献计量学
可视化
heart failure
dizziness
angina pectoris
Chinese medicine nursing
bibliometrics
visual analysis
