{"title":"老年人公共健康保险:来自文献计量学分析的见解。","authors":"Gaurav Agrawal, Amit Kumar","doi":"10.1108/IJHCQA-03-2023-0019","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The study examines worldwide public health insurance and ageing studies. This was accomplished by doing a thorough bibliometric analysis of publications published between 2002 and 2022 (till 31st May), which includes 479 articles for the analysis.</p><p><strong>Design/methodology/approach: </strong>This study used the Web of Science database to analyse the vast quantity of data from the journals referenced above. VOSviewer creates network maps, keyword concurrences and cross-country co-authorship. The research analyses parameters like article distribution by year and citation frequency to determine top publications. After that, co-authorship, country co-authorship and keyword co-occurrence bibliometric network maps are shown.</p><p><strong>Findings: </strong>The finding of the study reveals that the year 2020 is the most productive year for publication; BMJ Open is referred to as the most productive journal in this area, and \"Depression in the Elderly\" is the most referenced paper. The US has published the highest number of articles. We've seen 21 authors work with \"Akishita and Ishizaki\". The USA is the most collaborative author with other countries and conducted a keywords-based cluster analysis in which \"Public health insurance, older adults and long-term care\" are the most frequent keywords in this domain.</p><p><strong>Originality/value: </strong>This article aligns with the current literature on elderly public health insurance. The authors utilize bibliometric analysis to provide a more comprehensive and robust understanding of this area. Those interested in conducting further research in this field can use the findings of this study as a guide.</p>","PeriodicalId":47455,"journal":{"name":"INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE","volume":"38 2","pages":"94-111"},"PeriodicalIF":1.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Public health insurance for the elderly: an insight from bibliometric analysis.\",\"authors\":\"Gaurav Agrawal, Amit Kumar\",\"doi\":\"10.1108/IJHCQA-03-2023-0019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The study examines worldwide public health insurance and ageing studies. This was accomplished by doing a thorough bibliometric analysis of publications published between 2002 and 2022 (till 31st May), which includes 479 articles for the analysis.</p><p><strong>Design/methodology/approach: </strong>This study used the Web of Science database to analyse the vast quantity of data from the journals referenced above. VOSviewer creates network maps, keyword concurrences and cross-country co-authorship. The research analyses parameters like article distribution by year and citation frequency to determine top publications. After that, co-authorship, country co-authorship and keyword co-occurrence bibliometric network maps are shown.</p><p><strong>Findings: </strong>The finding of the study reveals that the year 2020 is the most productive year for publication; BMJ Open is referred to as the most productive journal in this area, and \\\"Depression in the Elderly\\\" is the most referenced paper. The US has published the highest number of articles. We've seen 21 authors work with \\\"Akishita and Ishizaki\\\". The USA is the most collaborative author with other countries and conducted a keywords-based cluster analysis in which \\\"Public health insurance, older adults and long-term care\\\" are the most frequent keywords in this domain.</p><p><strong>Originality/value: </strong>This article aligns with the current literature on elderly public health insurance. The authors utilize bibliometric analysis to provide a more comprehensive and robust understanding of this area. 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引用次数: 0
摘要
目的:本研究审查了全球公共健康保险和老龄化研究。这是通过对2002年至2022年(截至5月31日)出版的出版物进行彻底的文献计量分析来完成的,其中包括479篇用于分析的文章。设计/方法/方法:本研究使用Web of Science数据库分析了来自上述期刊的大量数据。VOSviewer创建网络地图,关键字并发和跨国合作。该研究分析了文章按年份分布和被引用频率等参数,以确定顶级出版物。在此基础上绘制了合作作者、国家合作作者和关键词共现文献计量网络图。研究发现:研究发现,2020年是出版效率最高的一年;BMJ Open被认为是这一领域最多产的杂志,而《老年抑郁症》是被引用最多的论文。美国发表的文章数量最多。我们已经看到21位作家与“秋下和石崎”合作。美国是与其他国家合作最多的作者,并进行了基于关键字的聚类分析,其中“公共医疗保险、老年人和长期护理”是该领域最常见的关键字。原创性/价值:本文与当前关于老年人公共健康保险的文献一致。作者利用文献计量学分析来提供对这一领域更全面、更有力的理解。有兴趣在这一领域进行进一步研究的人可以将本研究的结果作为指导。
Public health insurance for the elderly: an insight from bibliometric analysis.
Purpose: The study examines worldwide public health insurance and ageing studies. This was accomplished by doing a thorough bibliometric analysis of publications published between 2002 and 2022 (till 31st May), which includes 479 articles for the analysis.
Design/methodology/approach: This study used the Web of Science database to analyse the vast quantity of data from the journals referenced above. VOSviewer creates network maps, keyword concurrences and cross-country co-authorship. The research analyses parameters like article distribution by year and citation frequency to determine top publications. After that, co-authorship, country co-authorship and keyword co-occurrence bibliometric network maps are shown.
Findings: The finding of the study reveals that the year 2020 is the most productive year for publication; BMJ Open is referred to as the most productive journal in this area, and "Depression in the Elderly" is the most referenced paper. The US has published the highest number of articles. We've seen 21 authors work with "Akishita and Ishizaki". The USA is the most collaborative author with other countries and conducted a keywords-based cluster analysis in which "Public health insurance, older adults and long-term care" are the most frequent keywords in this domain.
Originality/value: This article aligns with the current literature on elderly public health insurance. The authors utilize bibliometric analysis to provide a more comprehensive and robust understanding of this area. Those interested in conducting further research in this field can use the findings of this study as a guide.
期刊介绍:
■Successful quality/continuous improvement projects ■The use of quality tools and models in leadership management development such as the EFQM Excellence Model, Balanced Scorecard, Quality Standards, Managed Care ■Issues relating to process control such as Six Sigma, Leadership, Managing Change and Process Mapping ■Improving patient care through quality related programmes and/or research Articles that use quantitative and qualitative methods are encouraged.