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我国慢性病管理研究热点的演进路径与发展趋势预测研究

李丽清 杨苏乐 曾传美

中国全科医学2025,Vol.28Issue(19):2321-2329,9.
中国全科医学2025,Vol.28Issue(19):2321-2329,9.DOI:10.12114/j.issn.1007-9572.2023.0865

我国慢性病管理研究热点的演进路径与发展趋势预测研究

Analysis of the Evolution Path and Development Trend of Research Hotspots in Chronic Disease Management in China

李丽清 1杨苏乐 2曾传美3

作者信息

  • 1. 330031 江西省南昌市,江西科技师范大学健康政策与发展研究中心||330031 江西省南昌市,江西科技师范大学职业教育与产业发展研究院
  • 2. 330031 江西省南昌市,江西科技师范大学健康政策与发展研究中心
  • 3. 330031 江西省南昌市,江西省医院协会
  • 折叠

摘要

Abstract

Background The disease spectrum of Chinese residents is undergoing fundamental changes.Chronic diseases have become the most important public health problem.Objective To reveal the evolution logic of hot topics in the field of chronic disease management,the research hotspots and evolution paths of chronic disease management were visually analyzed.A prediction model based on trend degree is generated to reveal the future development direction of hot topics in the field of chronic disease management.Methods The literature search time was as of April 30,2023.The type was limited to academic journals,and non-research literatures such as academic papers,meeting minutes,news reports,and expert consensus were excluded.Relevant literatures are retrieved in China National Knowledge Infrastructure(CNKI),VIP Chinese Science and Technology Journal Full-text Database,and Wanfang Data Knowledge Service Platform.In order to ensure the quality of the included literature,the journal types were limited to Peking University Core,China Science Citation Database(CSCD)and Chinese Social Sciences Citation Index(CSSCI).Based on text mining technology and bibliometric methods,this paper used VOSviewer software to draw a co-word timeline network map,and deeply analyzes the structural relationship and evolution characteristics of research hotspots in chronic disease management.Based on cluster analysis and strategic coordinate analysis,the research status and development trend of its clustering theme were revealed.The topic trend degree index was constructed by weighting and superimposing the characteristic indexes including topic novelty and intensity indexes.The three exponential smoothing way was used to predict and analyze the time series of topic trend degree.Results At the initial stage,the research focus in the field of chronic disease management was policy-oriented and fragmented,and gradually developed towards a diversified trend,forming a multi-center network structure with core nodes,such as"diabetes""hypertension""community""management mode""hierarchical diagnosis and treatment""medical consortium""Internet medicine",and"sports medicine integration".Conclusion The related literature in the field of chronic disease management showed an exponential growth trend.It has become a key research topic in academia.Multiple chronic disease management,chronic disease management of specific groups,psychological status of patients with chronic diseases,intelligent medical care,chronic disease management of traditional Chinese medicine,and big health management are emerging hot topics in the field of chronic disease management at this stage.Grassroots chronic disease management is a marginal research content,and the research results are not yet mature.In the future,we should focus on the research on the health management model of chronic disease comorbidity,continue to explore the deep integration mechanism of big data,cloud computing,Internet of things and wearable devices with chronic disease management,innovate the new model of chronic disease management based on the integration of medical treatment and prevention,and create a new health management plan for the whole population and the whole life cycle.

关键词

慢性病/慢性病管理/文献计量学/VOSviewer/战略坐标法/三次指数平滑法

Key words

Chronic disease/Chronic disease management/Bibliometrics/VOSviewer/Strategic coordinate method/Cubic exponential smoothing method

分类

基础医学

引用本文复制引用

李丽清,杨苏乐,曾传美..我国慢性病管理研究热点的演进路径与发展趋势预测研究[J].中国全科医学,2025,28(19):2321-2329,9.

基金项目

国家自然科学基金资助项目(71964015) (71964015)

健康中国揭榜攻关项目 ()

国家哲学社会科学重大项目(18ZDA085) (18ZDA085)

江西省教育厅科技项目(GJJ2201306,GJJ2201356) (GJJ2201306,GJJ2201356)

中国全科医学

OA北大核心

1007-9572

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