Research Trends and Structural Characteristics of Healthcare Research in Japan, Including the First Half of the New Coronavirus Spread Period: A Bibliometric Analysis.
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Abstract
This study aims to conduct a bibliometric analysis to characterize the trends and research features of health administration in Japan, in terms of themes and structural aspects, such as institutional affiliations, up to the early stages of the spread of the new coronavirus. Literature data were obtained from the United States National Institutes of Health (NIH) database, using the search formula (Healthcare[Title/Abstract] AND Japan[Title]), and the dataset was obtained on March 15, 2025. The total number of data points analyzed was 1066. Research trends, such as the characteristics of themes based on KeyWords Plus (Clarivate, Philadelphia, USA) and their changes, and the academic structure focusing on the country of origin, institutional affiliations, and publication journals, were quantitatively analyzed using the bibliometrics tools in the R package (Biblioshiney interface) for literature up to 2021, when the impact of coronavirus disease of 2019 (COVID-19) became pronounced in Japan. The KeyWords Plus analysis revealed a substantial research emphasis on healthcare human resources, and confirmed an increase in COVID-19-related research around 2020, when the impact of the novel coronavirus infection spread in Japan. Notably, the results of the bibliometric analysis highlight the aspect that healthcare human resources was one of the main focuses of the study area. However, limitations of textmining methods were observed in the export function of the CiNii database (National Institute of Informatics, Tokyo, Japan), which comprehensively collects articles written in Japanese. In order to grasp research trends in the field of healthcare in Japan, regardless of language, it is necessary to enhance multilingual support in Japanese academic information databases and develop an international academic information database (such as Web of Science, Scopus, OpenAlex, etc.) to expand the scope of collection.
本研究旨在进行文献计量分析，以表征日本卫生行政的趋势和研究特征，从主题和结构方面，如机构隶属关系，直到新冠病毒传播的早期阶段。文献数据来源于美国国立卫生研究院（NIH）数据库，检索公式为（Healthcare[Title/Abstract] AND Japan[Title]），数据集获取时间为2025年3月15日。分析的数据点总数为1066。研究趋势，如基于KeyWords Plus （Clarivate, Philadelphia， USA）的主题特征及其变化，以及以原产国、机构隶属关系和出版期刊为重点的学术结构，使用R包（Biblioshiney接口）中的文献计量学工具，定量分析截至2021年（2019年冠状病毒病（COVID-19）在日本的影响变得明显）的文献。KeyWords Plus分析显示，医疗保健人力资源的研究得到了大量重视，并证实，2020年左右，新型冠状病毒感染的影响在日本蔓延，与covid -19相关的研究有所增加。值得注意的是，文献计量分析的结果强调了医疗人力资源是研究领域的主要焦点之一。然而，在全面收集日文文章的CiNii数据库（National Institute of Informatics, Tokyo, Japan）的输出功能中，发现了文本挖掘方法的局限性。为了掌握日本医疗保健领域的研究趋势，无论语言，都需要加强日本学术信息数据库的多语言支持，并开发国际学术信息数据库（如Web of Science、Scopus、OpenAlex等），以扩大收集范围。
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