共病研究热点及趋势分析
Research Hotspots and Trends of Multimorbidity
查看参考文献54篇
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文摘
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目的了解共病的研究现状、热点及发展趋势,为我国共病研究提供依据。方法检索PubMed和Web of Science数据库自建库至2021年8月11日收录的共病相关文献,使用BICOMB软件和gCLUTO软件进行文献计量及聚类分析,使用CiteSpace进行作者、引文及关键词的突现分析。结果共病相关研究呈现上升的趋势,作者Mercer SW发文最多,被引最多的是作者Fortin M,发文最多的机构是卡罗林斯卡学院,作者Barnett K 2012年发表在Lancet上的文章共被引最多。共提取75个高频主要主题词,归纳出7个研究热点:流行病学相关研究,包括流行现状和趋势;用药相关研究,涉及多重用药、服药依从性等;医疗支出相关研究,包括疾病花费、医疗服务等;老龄化相关研究,包括老年患者、衰弱、失能等;心理相关研究,涉及心理健康、社会支持等;共病管理相关研究,包括共病治疗、初级卫生保健服务、整合照护等;心血管和代谢性疾病的共病研究,涉及肥胖、卒中、糖尿病等。结论共病作为当今世界范围内主要的健康威胁和公共卫生问题受到广泛关注,与单一疾病相比,共病管理更复杂,面临更多挑战,尚需研究者、医疗保健人员和决策者的关注。 |
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其他语种文摘
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Objective To clarify the hotspots and trends of multimorbidity research and to provide evidence for further research in China. Methods Papers on multimorbidity were retrieved from PubMed and Web of Science (from inception to August 11,2021). BICOMB and gCLUTO were used for bibliometric and clustering analysis, and CiteSpace was employed for analysis of authors and citations, and burst detection of keywords. Results The research on multimorbidity has been on the rise. Among the authors,Mercer SW published the most papers on this topic and Fortin M was the most cited author. Karolinska Institute topped the institutions in the number of published papers,and the paper published in Lancet by Barnett K in 2012 was the most cited. A total of 75 high-frequency keywords were extracted,on the basis of which seven research hotspots were summarized: epidemiology (including the prevalence and trend),medication (involving polypharmacy,medication compliance,etc.),medical expenditure (including cost and medical services),aging (such as elderly patients, frailty,and disability),psychology (involving mental health,social support,etc.),multimorbidity management (such as the treatment,primary health care,and integrated care),and comorbidity of cardiovascular and metabolic diseases (involving obesity,stroke,diabetes,etc.). Conclusions Multimorbidity is concerned as a major health threat and public health problem worldwide. The management of multimorbidity is more complex than that of one disease,which thus faces more challenges. Therefore,researchers,health care providers, and policy-makers should underscore it. |
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来源
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中国医学科学院学报
,2022,44(4):643-653 【核心库】
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DOI
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10.3881/j.issn.1000-503X.14530
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关键词
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共病
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文献计量学
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聚类分析
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可视化分析
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地址
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1.
山东大学齐鲁医院护理部, 济南, 250012
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山东大学护理理论与实践创新研究中心, 济南, 250012
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山东大学齐鲁医学院护理与康复学院, 济南, 250012
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-503X |
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学科
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医药、卫生 |
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文献收藏号
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CSCD:7291124
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