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基于移动设备的生态瞬时评估与干预:文献计量分析

Mobile-based ecological momentary assessment and intervention: bibliometric analysis.

作者信息

Yin Hongfan, Zhu Hanjing, Gu Jia, Qin Hengwei, Ding Wenjing, Guo Ningyuan, Fu Jingjing, Yang Yan

机构信息

School of Nursing, Shanghai Jiao Tong University, Shanghai, China.

Department of Urology, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Front Psychiatry. 2024 Feb 26;15:1300739. doi: 10.3389/fpsyt.2024.1300739. eCollection 2024.

DOI:10.3389/fpsyt.2024.1300739
PMID:38469030
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10925651/
Abstract

OBJECTIVE

The aim of this article was to review existing documents in the field of mobile-based EMA and EMI, provide an overview of current hot topics, and predict future development trends.

METHODS

We conducted a bibliometric study on mobile-based EMA and EMI publications that were collected from the Web of Science Core Collection database. Biblioshiny and CiteSpace were utilized to analyze scientific productions, leading sources, authors, affiliations, documents, research hot topics, keywords, and trend topics.

RESULTS

A total of 2222 documents related to EMA and EMI published between 1992 and 2023 were retrieved. In recent years, scholarly publications have generally increased in mobile-based EMA and EMI research, particularly in the last decade. JMIR mHealth and uHealth (n=86), as well as JMIR (n=73), showed the highest number of publications. The United States (n=1038), Germany (n=218) and Netherlands (n=175) were leading countries. Regarding keyword co-occurrence and trend topics analysis, mental health, health behaviors, and feasibility were hot topics in mobile-based EMA and EMI research. Future research trends included using EMA for tailoring EMI, just-in-time adaptive interventions (JITAI), and digital phenotyping.

CONCLUSION

This bibliometric study on mobile-based EMA and EMI is a valuable resource for understanding the field's evolution and future trends. Our analysis indicates that EMA and EMI have great potential in health behaviors and mental health, but implementation should consider feasibility and reactivity issues carefully. Emerging trends include EMA-tailored EMI, JITAI, and digital phenotyping. In the future, strengthening multidisciplinary cooperation will be necessary to promote the continued development of the field.

摘要

目的

本文旨在回顾基于移动设备的电子移动评估(EMA)和电子移动干预(EMI)领域的现有文献,概述当前热点话题,并预测未来发展趋势。

方法

我们对从科学引文索引核心合集数据库收集的基于移动设备的EMA和EMI出版物进行了文献计量学研究。利用Biblioshiny和CiteSpace分析科学成果、主要来源、作者、机构、文献、研究热点话题、关键词和趋势话题。

结果

共检索到1992年至2023年期间发表的2222篇与EMA和EMI相关的文献。近年来,基于移动设备的EMA和EMI研究的学术出版物总体呈增长趋势,尤其是在过去十年。《医学互联网研究杂志:移动健康与远程医疗》(n = 86)以及《医学互联网研究杂志》(n = 73)的出版物数量最多。美国(n = 1038)、德国(n = 218)和荷兰(n = 175)是主要国家。关于关键词共现和趋势话题分析,心理健康、健康行为和可行性是基于移动设备的EMA和EMI研究中的热点话题。未来的研究趋势包括使用EMA来定制EMI、即时自适应干预(JITAI)和数字表型分析。

结论

这项关于基于移动设备的EMA和EMI的文献计量学研究是了解该领域发展和未来趋势的宝贵资源。我们的分析表明,EMA和EMI在健康行为和心理健康方面具有巨大潜力,但实施时应仔细考虑可行性和反应性问题。新兴趋势包括EMA定制的EMI、JITAI和数字表型分析。未来,加强多学科合作对于推动该领域的持续发展将是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/48d12c568ebd/fpsyt-15-1300739-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/04b659bdb806/fpsyt-15-1300739-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/8054dd68aedf/fpsyt-15-1300739-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/d1a6fb32b3fb/fpsyt-15-1300739-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/1974ed8adb37/fpsyt-15-1300739-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/1422fc6f74af/fpsyt-15-1300739-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/4d294fd4a7ac/fpsyt-15-1300739-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/8ceb9b7f800f/fpsyt-15-1300739-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/c28160815467/fpsyt-15-1300739-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/48d12c568ebd/fpsyt-15-1300739-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/04b659bdb806/fpsyt-15-1300739-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/8054dd68aedf/fpsyt-15-1300739-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/d1a6fb32b3fb/fpsyt-15-1300739-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/1974ed8adb37/fpsyt-15-1300739-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/1422fc6f74af/fpsyt-15-1300739-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/4d294fd4a7ac/fpsyt-15-1300739-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/8ceb9b7f800f/fpsyt-15-1300739-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/c28160815467/fpsyt-15-1300739-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212e/10925651/48d12c568ebd/fpsyt-15-1300739-g009.jpg

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