基于文献共现系统的社区慢性病管理研究论文的文献计量学分析
投稿时间:2020-02-20  修订日期:2020-03-17  点此下载全文
引用本文:刘丙龙,葛其南,马尔丽.基于文献共现系统的社区慢性病管理研究论文的文献计量学分析[J].药学实践杂志,2020,38(3):277~281
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作者单位
刘丙龙 上海市药学会, 上海 200040, China 
葛其南 上海市药学会, 上海 200040, China 
马尔丽 上海市药学会, 上海 200040, China 
中文摘要:目的 研究我国社区慢性病管理的现状和存在问题,探讨慢性病社区管理的策略和方法,为社区慢性病管理和防控、降低慢性病的病死率和经济负担提供科学依据。方法 使用文献共现分析系统Bicomb2.0软件及SPSS18,选择2010年1月至2020年1月公开发表于中国学术期刊网络出版总库的社区慢性病管理研究的学术文献,根据发表年限、地域分布、资助基金等进行分析和文献研究。结果 本文共纳入1 427篇文献,其中近3年(2017—2019年)发表的文献最多,平均每年206.7篇。在1 427篇文献中,中文1 347篇(94.4%),英文80篇(5.6%),涉及期刊436种,24.5%文献受相关基金资助,研究热点集中在社区卫生服务、健康管理、糖尿病与高血压管理、老年人、健康教育及影响因素等方面。结论 我国社区慢性病管理研究越发受到重视,经济发展较好的省份相关研究较多,高校为主要研究机构,但目前多数研究处于探索阶段,尚未成熟。
中文关键词:社区  慢性病  文献计量学  文献共现系统
 
Bibliometrics analysis of community chronic disease management research based on literature co-occurrence analysis system
Abstract:Objective To investigate the current situation and existing problems of community chronic disease management in China and provide a theoretical basis for community chronic disease management to reduce the mortality and economic burden.Methods Research papers on community chronic disease management published in Chinese academic journal network from January 2010 to January 2020 were selected. Literature co-occurrence analysis system software, Bicomb2.0, and SPSS were used for data extraction and analysis based on publication years, geographical distribution, funding sources, etc.Results 1 427 papers were included. Most papers were published in the recent three years (2017—2019), with an average of 206.7 papers per year. 1 347 papers in Chinese (94.4%) and 80 in English (5.6%) were published in 436 journals, and 24.5% were funded. Hot topics are community health services, health management, diabetes and hypertension management, influencing factors.Conclusion Community chronic disease management has drawn a lot of attention in China. Economically well-developed provinces invested more on community chronic disease management. Universities are the main research institutions. Most researches are still at the exploratory stage.
keywords:community  chronic disease  bibliometrics  co-occurrence analysis system
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