中国全科医学 ›› 2021, Vol. 24 ›› Issue (1): 92-97.DOI: 10.12114/j.issn.1007-9572.2020.00.011

• 专题研究 • 上一篇    下一篇

基于CiteSpace的近十年我国医养结合研究热点及发展趋势分析

王晓晓1,郭清2*   

  1. 1.311121浙江省杭州市,杭州师范大学医学院 2.310053浙江省杭州市,浙江中医药大学
    *通信作者:郭清,教授,博士生导师;E-mail:louisguoqing@126.com
  • 出版日期:2021-01-05 发布日期:2021-01-05
  • 基金资助:
    基金项目:国家自然科学基金面上项目(71774147)——基于复杂系统理论的老年健康服务多主体协同管理模式研究

Recent 10-year Research Hotspots and Development Trends of Integrated Medical and Nursing Care in China:a CiteSpace-based Visual Analysis  

WANG Xiaoxiao1,GUO Qing2*   

  1. 1.Medical School,Hangzhou Normal University,Hangzhou 311121,China
    2.Zhejiang Chinese Medical University,Hangzhou 310053,China
    *Corresponding author:GUO Qing,Professor,Doctoral supervisor;E-mail:louisguoqing@126.com
  • Published:2021-01-05 Online:2021-01-05

摘要: 背景 随着我国老龄化的日益加剧,老年群体的医疗养护需求越来越突出,传统的养老模式已经不能满足老年人多层次的健康需求,于是“医养结合”养老服务新模式越来越受到国家的重视和学术界的关注。目的 全面分析近十年我国医养结合的研究现状,以发现我国医养结合的研究热点及发展趋势,为今后研究提供参考。方法 2019-04-01至2019-07-01,选取中国知网(CNKI)数据库为检索对象,检索发表时间为2009-01-01至2019-04-03的有关医养结合领域的文献,统计其发文量。采用CiteSpaceⅤ软件对样本文献作者、研究机构、关键词进行知识图谱的可视化分析。结果 本研究共纳入有效文献数量2 524篇。我国医养结合领域的年度发文数量在2013年之后呈现明显上升趋势。研究机构和作者的共现知识图谱显示,研究机构和作者主要集中在各大高校及科研院所,尤其是以医学院校为主,但各个研究机构或作者之间缺少学术合作;高频关键词知识图谱显示,中心性排在前3位的关键词有“养老服务业”“养老机构”“养老产业”。最强突现词图谱显示,排在前3位的突现词包括“老人”“医疗”“敬老院”。时间线图谱显示近十年我国医养结合领域的研究呈现出萌芽、繁荣和创新发展3个阶段的演化路径。结论 政策因素是推动医养结合研究的重要因素;近十年的研究热点可归纳为有关医养结合的难点和对策的研究、有关医养结合养老服务模式的研究、有关失能老人或空巢老人医养结合问题的研究和有关医养结合养老服务业的研究四类主题。本文预测我国医养结合服务今后的发展趋势为将会有更多社会力量参与、更加突出中医药特色和更加智能化。

关键词: 医养结合, CiteSpace, 研究热点, 发展趋势, 文献计量学

Abstract: Background  In China,how to satisfy multi-level healthcare needs of rapidly increased elderly people is becoming a serious problem due to insufficient efficiency of traditional elderly support model.Integrated medical and nursing care, a new elderly support model, has achieved national and academic attentions. Objective  To explore recent 10-year research hotspots and development trends of integrated medical and nursing care in China based on analyzing the relevant research, providing a reference for future research. Methods  Articles about integrated medical and nursing care published from January 1 to April 3,2019 were searched on CNKI database during April 1 and July 1, 2019, and were counted. CiteSpaceⅤ was used to conduct a knowledge mapping analysis of the extracted authors, research institutions and keywords from the included articles.Results  A total of 2 524 articles were finally included. The annual number of published articles showed a significant increase since 2013. Co-occurrences analyses revealed that, articles were mainly published by colleges and institutes, especially medical colleges, or authors from these institutions, but there was lack of academic cooperation between these institutions or between the authors. Knowledge map of high-frequency keywords showed that top 3 high-frequency keywords with high-level centrality were "elderly services industry" "elderly care institutions" "pension industry". Knowledge map of keywords with the strongest citation bursts showed that the top 3 were "the elderly"  "medical treatment" "gerocomium". The timeline map showed that the research on integrated medical and nursing care in the past ten years was composed of three stages:germination,prosperity and innovation. Conclusion  The policy factor is an important facilitator to the research on integrated medical and nursing care. The research hotspots in the past ten years can be summarized as four topics:the research on the difficulties and countermeasures in the implementation of integrated medical and nursing care,the research on the delivery models of integrated medical and nursing care,the research on integrated medical and nursing care for the disabled elderly or empty nesters,and the research on the industry of integrated medical and nursing care. This paper predicts that This paper predicts that more social forces will participate in this industry, with highlights on TCM features and smartness.

Key words: Combination of medical care and pension, CiteSpace, Research hotspot, Development trend, Bibliometrics