ArticleJournal of diabetes science and technology2018
Rethinking the Endpoints of mHealth Intervention Research in Diabetes Care.
Article in Journal of diabetes science and technology, 2018. 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.
- Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.JMIR mHealth and uHealth · 2025Article
- Adherence and Persistence to Insulin Therapy in People with Diabetes: Impact of Connected Insulin Pen Delivery Ecosystem.Journal of diabetes science and technology · 2022Review
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
Mobile health (mHealth) is an emerging branch of medicine that utilizes technology to impact health care. With increasing access to smartphones and mobile devices, there has been an increase in both the availability and use of mHealth resources, including the use of text messages, apps, and web portals. In diabetes, there is particular interest as technology has long been a mainstay of management through glucometers, insulin pumps and continuous glucose monitors, which are increasingly interconnected. Although there is high demand for mHealth interventions in diabetes, there is no clear consensus on the best way to monitor these interventions. While randomized controlled trials are considered the gold standard for most medical research, we propose that alternative trial designs may be more applicable in the ever-changing mHealth landscape.
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.