SynthesisJournal of diabetes science and technology2014
Improving type 1 diabetes management with mobile tools: a systematic review.
Synthesis in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04758884 (Telemedicine in Patients With Type 1 Diabetes Mellitus. Efficacy Study of a Specific Virtual Consultation.), which is not on this map. Cited by 13 papers, 2 of them syntheses 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.
Telemedicine in Patients With Type 1 Diabetes Mellitus. Efficacy Study of a Specific Virtual Consultation.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Patient experiences with technology enabled care across healthcare settings- a systematic review.BMC health services research · 2020Pooled it
- A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support.Journal of diabetes science and technology · 2017Pooled it
- Telehealth model versus in-person standard care for persons with type 1 diabetes treated with multiple daily injections: an open-label randomized controlled trial.Frontiers in endocrinology · 2023Trial
- Telemetric Interventions Offer New Opportunities for Managing Type 1 Diabetes Mellitus: Systematic Meta-review.JMIR diabetes · 2021Review
- Improving the Quality of Life of Patients with an Underactive Thyroid Through mHealth: A Patient-Centered Approach.Women's health reports (New Rochelle, N.Y.) · 2021Article
- Testing Usability and Feasibility of a Mobile Educator Tool for Pediatric Diabetes Self-Management: Mixed Methods Pilot Study.JMIR formative research · 2020Article
- mHealth App Patient Testing and Review of Educational Materials Designed for Self-Management of Gout Patients: Descriptive Qualitative Studies.JMIR mHealth and uHealth · 2018Article
- The Use of Mobile Health to Deliver Self-Management Support to Young People With Type 1 Diabetes: A Cross-Sectional Survey.JMIR diabetes · 2017Article
- The Mobile Phone Affinity Scale: Enhancement and Refinement.JMIR mHealth and uHealth · 2016Article
- Development of the Mobile Phone Attachment Scale.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2016Article
- Design, construction, and implementation of an online platform for patients with type 1 diabetes: EncoDiab.Patient preference and adherence · 2015Article
- Review
- Adolescents' participation in their healthcare: A sociomaterial investigation of a diabetes app.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to provide a better understanding of the ability of mobile health tools to offer glycemic control for patients with type 1 diabetes mellitus. Data gained from research articles searched in PubMed, Ovid (Medline), and CINAHL from 2005 to 2013 focused on interventions introduced to a type 1 diabetic population. Articles were screened to identify interventions that examined mobile health tools effect on glycemic control using %A1C as a proxy. Fourteen articles were included in this study. Descriptive data, %A1C difference, and statistical significance, if available, were extracted for comparison. Five major categories were identified across the spectrum of interventions, including "Internet," "Mobile," "Mobile and Internet," "Phone," and "Videoconference and phone." Seven of the 14 articles reported statistically significant decreases in measured outcomes. Seven studies examine a single cohort, and 7 examined a double cohort. Eleven of the 14 authors (79%) reported success with their intervention. Twelve studies reported a decrease in %A1C values in their intervention groups. Initial results for glycemic control through these tools appear promising, though inconclusive. Additional measures of mobile health tool efficacy should be assessed more directly. More rigorous study methods are also needed to improve the reliability of results.
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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.