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全球移动医疗和医学教育研究趋势:文献计量学和知识图谱分析。

Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis.

机构信息

Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

出版信息

JMIR Med Educ. 2024 Jun 4;10:e52461. doi: 10.2196/52461.

DOI:10.2196/52461
PMID:38841983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11185284/
Abstract

BACKGROUND

Mobile health (mHealth) is an emerging mobile communication and networking technology for health care systems. The integration of mHealth in medical education is growing extremely rapidly, bringing new changes to the field. However, no study has analyzed the publication and research trends occurring in both mHealth and medical education.

OBJECTIVE

The aim of this study was to summarize the current application and development trends of mHealth in medical education by searching and analyzing published articles related to both mHealth and medical education.

METHODS

The literature related to mHealth and medical education published from 2003 to 2023 was searched in the Web of Science core database, and 790 articles were screened according to the search strategy. The HistCite Pro 2.0 tool was used to analyze bibliometric indicators. VOSviewer, Pajek64, and SCImago Graphica software were used to visualize research trends and identify hot spots in the field.

RESULTS

In the past two decades, the number of published papers on mHealth in medical education has gradually increased, from only 3 papers in 2003 to 130 in 2022; this increase became particularly evident in 2007. The global citation score was determined to be 10,600, with an average of 13.42 citations per article. The local citation score was 96. The United States is the country with the most widespread application of mHealth in medical education, and most of the institutions conducting in-depth research in this field are also located in the United States, closely followed by China and the United Kingdom. Based on current trends, global coauthorship and research exchange will likely continue to expand. Among the research journals publishing in this joint field, journals published by JMIR Publications have an absolute advantage. A total of 105 keywords were identified, which were divided into five categories pointing to different research directions.

CONCLUSIONS

Under the influence of COVID-19, along with the popularization of smartphones and modern communication technology, the field of combining mHealth and medical education has become a more popular research direction. The concept and application of digital health will be promoted in future developments of medical education.

摘要

背景

移动医疗(mHealth)是一种新兴的移动通信和网络技术,用于医疗保健系统。mHealth 在医学教育中的融合发展极为迅速,为该领域带来了新的变革。然而,目前尚无研究分析 mHealth 和医学教育领域的发表文献和研究趋势。

目的

本研究旨在通过检索和分析与 mHealth 和医学教育相关的已发表文献,总结 mHealth 在医学教育中的当前应用和发展趋势。

方法

在 Web of Science 核心数据库中检索了 2003 年至 2023 年与 mHealth 和医学教育相关的文献,根据检索策略筛选出 790 篇文章。使用 HistCite Pro 2.0 工具分析文献计量指标。使用 VOSviewer、Pajek64 和 SCImago Graphica 软件可视化研究趋势,并确定该领域的热点。

结果

在过去的 20 年中,医学教育中 mHealth 的发表论文数量逐渐增加,从 2003 年的仅 3 篇增加到 2022 年的 130 篇;这种增长在 2007 年尤为明显。全球引文分数为 10600,平均每篇文章被引 13.42 次。本地引文分数为 96。美国是在医学教育中应用 mHealth 最广泛的国家,在该领域进行深入研究的机构也大多位于美国,其次是中国和英国。根据目前的趋势,全球合作和研究交流可能会继续扩大。在联合发表该领域文献的研究期刊中,JMIR 出版物发表的期刊具有绝对优势。共确定了 105 个关键词,分为指向不同研究方向的五个类别。

结论

在 COVID-19 的影响下,随着智能手机和现代通信技术的普及,将 mHealth 与医学教育相结合的领域成为了更受欢迎的研究方向。在医学教育的未来发展中,数字健康的概念和应用将得到推广。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/08bf5eb2ff84/mededu-v10-e52461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/dfde7f311295/mededu-v10-e52461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/39f40263f905/mededu-v10-e52461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/f20ac62718e7/mededu-v10-e52461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/594e1cf17434/mededu-v10-e52461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/fb5781f501bd/mededu-v10-e52461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/f1d3fdbd531c/mededu-v10-e52461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/08bf5eb2ff84/mededu-v10-e52461-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/dfde7f311295/mededu-v10-e52461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/39f40263f905/mededu-v10-e52461-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/f20ac62718e7/mededu-v10-e52461-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/594e1cf17434/mededu-v10-e52461-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/fb5781f501bd/mededu-v10-e52461-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/f1d3fdbd531c/mededu-v10-e52461-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1d/11185284/08bf5eb2ff84/mededu-v10-e52461-g007.jpg

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