ReviewDigital health
The effects of mobile health on self-management of patients with diabetes: A systematic review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Review
- Artificial Intelligence-Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study.Journal of medical Internet research · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Diabetes is a chronic disease affecting many people globally and is a significant health concern. Health services are focusing on managing the rising incidence of diabetes and its complications. A novel mobile health (mHealth) intervention intends to assist diabetics in managing the levels of their blood sugar and improving self-care. The study aimed to evaluate the effect of short message service (SMS) and mobile app interventions on patients' capacity to improve hemoglobin A1c (HbA1c) levels. Method: A targeted search was performed in PubMed, MEDLINE, EMBASE, the Cochrane Library, ScienceDirect, and Scopus for randomized controlled trials (RCTs) published from 2014 to 2024 that evaluated the effects of mobile apps and SMS-based self-care interventions on individuals with poorly managed diabetes. Result: A rigorous review identified nineteen studies for analysis. Fifteen of these studies showed a statistically significant reduction in HbA1c levels in the intervention group, compared to baseline measurements. In contrast, control groups did not exhibit the same level of reduction, resulting in a significant difference between intervention and control groups over time. This suggests that the interventions were effective in lowering HbA1c levels. Conclusion: Improving glycemic levels in inadequately managed diabetes is crucial. Better blood sugar management enhances patient well-being and lowers healthcare costs, making targeted interventions essential for improved outcomes and healthcare efficiency. When developing support services and educational programs for diabetes self-management, considering value-based care and public health models, it is important for organizations, diabetes educators, legislators, and funders to carefully consider these solutions.
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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.