移动健康应用程序的主题趋势和知识结构：文献计量分析。

BACKGROUND: Due to the widespread and unprecedented popularity of mobile phones, the use of digital medicine and mobile health apps has seen significant growth. Mobile health apps have tremendous potential for monitoring and treating diseases, improving patient care, and promoting health. OBJECTIVE: This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. METHODS: Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. RESULTS: We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors' contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. CONCLUSIONS: We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field.

背景：由于手机的广泛普及和前所未有的流行，数字医学和移动健康应用的使用呈显著增长趋势。移动健康应用在监测和治疗疾病、改善患者护理和促进健康方面具有巨大潜力。

目的：本文旨在探讨移动健康应用研究的研究趋势、合著网络和研究热点。

方法：从 Web of Science 数据库中检索并提取与移动健康应用相关的出版物，不限制语言。使用 Bibliographic Item Co-Occurrence Matrix Builder 提取文献信息（出版年份和期刊来源）并进行描述性分析。然后，我们使用 VOSviewer（莱顿大学）工具构建和可视化研究人员、研究机构、国家/地区、引文和关键词的共现网络。

结果：我们检索到 2000 年至 2019 年期间发表的 2802 篇关于移动健康应用的研究论文。在过去的 19 年中，年度出版物数量有所增加。发表这些出版物的最常见期刊是 JMIR mHealth and uHealth（323/2802，11.53%）、Journal of Medical Internet Research（106/2802，3.78%）和 JMIR Research Protocols（82/2802，2.93%）。美国（1186/2802，42.33%）、英国（235/2802，8.39%）、澳大利亚（215/2802，7.67%）和加拿大（112/2802，4.00%）是最具生产力的原籍国。加利福尼亚大学旧金山分校、华盛顿大学和多伦多大学是最具生产力的机构。就作者的贡献而言，Schnall R、Kuhn E、Lopez-Coronado M 和 Kim J 是最活跃的研究人员。前 100 个关键词的共现聚类分析形成 5 个聚类：（1）移动健康应用的技术和系统开发；（2）移动心理健康应用；（3）移动远程医疗、慢性病和药物依从性管理应用；（4）移动健康应用于健康行为和健康促进；（5）通过互联网进行疾病预防的移动健康应用。

结论：我们通过文献计量分析和网络可视化总结了移动健康应用研究的最新进展，并阐明了其研究前沿、趋势和热点。这些发现可能为这个快速发展的领域提供有价值的未来研究方向和视角。