Bibliometric analysis of the application of mobile health technology in family caregivers
10.3760/cma.j.cn115682-20231207-02493
- VernacularTitle:移动健康技术在家庭照护者中应用研究的文献计量学分析
- Author:
Ruxia YU
1
;
Jing JIANG
;
Xiaoyue ZHAO
;
Yue WANG
;
Qiucheng WANG
Author Information
1. 北京中医药大学护理学院，北京 100029
- Keywords:
Bibliometrics;
Mobile health technology;
Family caregivers;
Research hotspots;
Research trends;
Visual analysis;
CiteSpace;
Web of Science
- From:
Chinese Journal of Modern Nursing
2024;30(33):4535-4541
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the research hotspots and development trends of mobile health technology applications among family caregivers using bibliometric methods, providing a reference for related studies.Methods:The Web of Science Core Collection was selected as the data source, and research on mobile health technology in family caregivers published from January 1, 2005, to August 31, 2023, was retrieved. Excel, Scimago Graphica, and CiteSpace software were used to create network maps of countries, institutions, authors, and keywords, exploring research hotspots and development trends in this field.Results:A total of 475 relevant articles were included, showing an overall upward trend in annual publication volume. The United States had the highest publication volume (173 articles), with the most influential author and the institution with the highest publication volume being Sin and the University of Washington, respectively. Current research hotspots included chronic diseases, mental health, and social support, while future research trends focus on in-depth studies, artificial intelligence, and enhancing network information security.Conclusions:Research on the application of mobile health technology among family caregivers is on the rise, mainly focusing on assisting caregivers in managing chronic diseases, improving their mental health, and enhancing their social support. Future research frontiers may include optimizing and refining digital health technologies, using artificial intelligence to predict and alleviate caregiver burden, and enhancing industry regulation and data security.
