ReviewPatient preference and adherence2025
A Systematic Review of Internet-Based Remote Patient Monitoring Systems for Chronic Disease Management in Asian.
Review in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Artificial intelligence for equitable remote patient monitoring in low-resource health systems.Annals of medicine and surgery (2012) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chronic diseases are an increase global health concern driven by aging populations and lifestyle changes. In Asia, rapid demographic shifts and diverse healthcare systems pose unique challenges for chronic disease management. Internet-based remote monitoring systems offer innovative solutions for early detection and timely intervention, but their effectiveness within the varied Asian context requires thorough evaluation. Purpose: This systematic review aimed to evaluate the effectiveness of internet-based remote monitoring systems in managing outcomes among patients with chronic diseases. Methods: A systematic literature search was conducted across major electronic databases, including PubMed, Scopus, Taylor and Francis, and EBSCOhost, employing a combination of relevant search terms. The keywords used were "remote monitoring OR telemonitoring OR internet-based monitoring AND chronic disease OR chronic illness AND patient outcome OR health outcome OR clinical outcome". The inclusion criteria are defined using the PICO framework. The data were analyzed descriptively and qualitatively using thematic analysis. Results: Following rigorous screening and quality appraisal, 16 studies met the inclusion criteria. These studies employed diverse remote monitoring modalities, encompassing automated remote monitoring systems, patient-reported monitoring, and personalized telecommunication-based approaches. The evidence demonstrates that internet-based remote monitoring systems significantly enhance chronic disease management across various Asian contexts. Conclusion: Internet-based remote patient monitoring constitutes a pivotal advancement in chronic disease management. It facilitates timely emergency responses, reduces healthcare utilization, and optimizes clinical outcomes within Asian healthcare settings. Future efforts should focus on synergizing automated data acquisition, patient self-reporting, and personalized communication to overcome challenges related to sustained behavioral change and quality-of-life improvements.
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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.