ArticleDigital health
Exploring the evolution of eHealth in disease management: A bibliometric analysis from 1999 to 2023.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Role of the Pharmacist in Supporting the Use of Connected Health Devices: Example of Connected Watches.Pharmacy (Basel, Switzerland) · 2026Article
- Current trends in telemedicine for chronic disease management.Bioinformation · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: In the digital age, eHealth is vital in modern healthcare, impacting medical services and public health. Despite its potential in disease management, a comprehensive bibliometric analysis is lacking. This study utilizes bibliometric methods to explore the evolution of eHealth in disease management from 1999 to 2023, aiming to discern the research status and trends. Methods: A literature search was conducted using the Web of Science Core Collection (WOSCC) database. Publications and journals were quantitatively analyzed using Microsoft Office Excel 2023. Country/institution/author collaborations and keyword co-occurrences were analyzed using VOSviewer. CiteSpace was employed to analyze the citation bursts of reference. A global distribution network of publications was constructed and thematic trends were analyzed using R package "bibliometrix." Results: The study identified 1763 articles on eHealth in disease management. Since 2011, there has been a notable increase in publications, with the United States (n = 391, 22.08%) and the University of Sydney (n = 60, 3.40%) as leading contributors. High-quality journals primarily publish this research. Globally, 9631 authors contributed, with Chavannes, Niels H being the most prolific (n = 23). Author co-citation analysis indicated Eysenbach, G as the most cited (n = 336). Research currently focuses on developing a comprehensive eHealth framework, optimizing mHealth for chronic diseases, improving eHealth intervention trial reporting, assessing social factors in eHealth literacy, and examining telemedicine's role during the Covid-19 pandemic. Conclusion: This study offers a comprehensive overview of eHealth research in disease management. eHealth's potential in disease prevention and treatment is significant. To enhance eHealth's impact, international collaboration, technological innovation, tailored intervention trials, addressing the digital divide, and solving legal and ethical issues are crucial. This study will guide future research endeavors, with the goal of enhancing eHealth's benefits and expanding its accessibility to a wider patient base.
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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.