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Mobile health for chronic obstructive pulmonary disease: a bibliometric analysis based on integrated databases
Yubei Liu1, Xuetao Yang1, Xuejun Liu2
1Dazhou Vocational College of Traditional Chinese Medicine, Dazhou, China.
This bibliometric analysis reveals sustained growth in mobile health (mHealth) for chronic obstructive pulmonary disease (COPD) research. Future directions include AI, IoT, and large-scale trials for personalized digital health strategies.
Area of Science:
- Digital Health
- Bibliometrics
- Pulmonology
Background:
- Chronic obstructive pulmonary disease (COPD) presents a significant global health challenge.
- Mobile health (mHealth) offers innovative solutions for COPD monitoring, rehabilitation, and management.
- A comprehensive bibliometric analysis of mHealth in COPD research was lacking.
Purpose of the Study:
- To conduct a bibliometric analysis of mHealth for COPD research.
- To map the research landscape and identify developmental trends.
- To provide evidence-based guidance for future research in this domain.
Main Methods:
- Bibliometric analysis of publications from Web of Science (2000-2025) and clinical trials from PubMed.
- Utilized CiteSpace and VOSviewer for analyzing publication trends, leading journals, countries, institutions, authors, and keywords.
- Followed BIBLIO checklist for screening and reporting.
Main Results:
- 1,177 publications and 119 clinical trials were analyzed, showing sustained growth in research output and citations.
- Key research areas include telehealth, self-management, pulmonary rehabilitation, and quality of life.
- Emerging frontiers include Artificial Intelligence (AI), machine learning, and Internet of Things (IoT), with future clinical priorities in large-scale trials and personalized care.
Conclusions:
- The study provides a comprehensive bibliometric overview of mHealth for COPD research, highlighting growth and evolving priorities.
- Significant geographical disparities in research output were observed.
- There is a need for more robust, evidence-based, and context-adapted digital health strategies for equitable development.
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