ReviewGlobalization and health2022
Analysis of mHealth research: mapping the relationship between mobile apps technology and healthcare during COVID-19 outbreak.
Review in Globalization and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Structural biases in digital health intervention and health equity research: a bibliometric knowledge graph analysis (2015-2025).Frontiers in digital health · 2026Pooled it
- Evaluating the Effects of a Mobile Obstetric Emergency System on Healthcare Providers' Communication and Relationships in Bong County, Liberia.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review.Journal of medical Internet research · 2025Article
- Individuals' attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey.BMC medical informatics and decision making · 2024Article
- Greenway of Digital Health Technology During COVID-19 Crisis: Bibliometric Analysis, Challenges, and Future Perspective.Advances in experimental medicine and biology · 2024Review
- The Social Contract for Health and Wellness Data Sharing Needs a Trusted Standardized Consent.Mayo Clinic proceedings. Digital health · 2023Article
- Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study.JMIR human factors · 2023Article
- Mental Health Professionals' Attitudes Toward Digital Mental Health Apps and Implications for Adoption in Portugal: Mixed Methods Study.JMIR human factors · 2023Article
- mHealth and COVID-19: A Bibliometric Study.Healthcare (Basel, Switzerland) · 2023Review
- Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey.JMIR public health and surveillance · 2023Article
- Article
- mHealth in Sub-Saharan Africa and Europe: Context of current health, healthcare status, and demographic structure.Digital healthReview
- Global trends of digital health technologies in patient navigation: A bibliometric and visual analysis from 2005 to 2024.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health applications (mHealth apps) offer enormous promise for illness monitoring and treatment to improve the provided medical care and promote health and wellbeing.
objectiveWe applied bibliometric quantitative analysis and network visualization to highlight research trends and areas of particular interest. We expect by summarizing the trends in mHealth app research, our work will serve as a roadmap for future investigations.
methodsRelevant English publications were extracted from the Scopus database. VOSviewer (version 1.6.17) was used to build coauthorship networks of authors, countries, and the co-occurrence networks of author keywords.
resultsWe analyzed 550 published articles on mHealth apps from 2020 to February 1, 2021. The yearly publications increased from 130 to 390 in 2021. JMIR mHealth and uHealth (33/550, 6.0%), J. Med. Internet Res. (27/550, 4.9%), JMIR Res. Protoc. (22/550, 4.0%) were the widest journals for these publications. The United States has the largest number of publications (143/550, 26.0%), and England ranks second (96/550, 17.5%). The top three productive authors were: Giansanti D., Samuel G., Lucivero F., and Zhang L. Frequent authors' keywords have formed major 4 clusters representing the hot topics in the field: (1) artificial intelligence and telehealthcare; (2) digital contact tracing apps, privacy and security concerns; (3) mHealth apps and mental health; (4) mHealth apps in public health and health promotion.
conclusionsmHealth apps undergo current developments, and they remain hot topics in COVID-19. These findings might be useful in determining future perspectives to improve infectious disease control and present innovative solutions for healthcare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.