ArticleJMIR mHealth and uHealth2026
Digital Health Interventions in Children and Adolescents With Type 1 Diabetes Mellitus and Their Impact on Clinical and Behavioral Outcomes: Scoping Review.
Article in JMIR mHealth and uHealth, 2026. 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
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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.
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Who cites it
1 citing paper in PubMed.
- The relationship between proactive health management, perceived social support, and symptoms in perimenopausal women: a latent profile and mediation analysis.Frontiers in public health · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Effective self-management of type 1 diabetes mellitus (T1DM) by children and adolescents remains challenging despite advances in insulin delivery and glucose monitoring technologies. Mobile health (mHealth) interventions have emerged as promising tools to support pediatric diabetes care. However, their clinical impact and the behavioral mechanisms through which they operate-particularly those grounded in social cognitive theory (SCT)-are not well established. Objective: This scoping review assesses mHealth apps focused on the management of T1DM in the pediatric population and looks into the underlying behavioral frameworks in accordance with SCT. Methods: We conducted a scoping review of 5 databases (PubMed, Cochrane Library, EMBASE, CINAHL, and Scopus) for English-language studies published between January 2000 and July 2024. Eligible studies evaluated mHealth apps for children and adolescents with T1DM (≤18 years) and reported outcomes including glycemic control, self-efficacy, adherence, self-management, or quality of life. Data were extracted and synthesized according to clinical outcomes and the presence of SCT constructs, namely self-efficacy, behavioral capability, expectations, reinforcements, and reciprocal determinism. Results: Of 5607 studies screened, 12 met the inclusion criteria. These comprised 4 randomized controlled trials, 4 pilot studies, 2 pre-post intervention studies, 1 retrospective cohort study, and 1 double crossover trial. App features included glucose logging, insulin tracking, bolus calculators, reminders, gamification, and structured educational content. Hemoglobin A1c (HbA1c) outcomes were reported by 9 studies; 4 demonstrated statistically significant improvements, while the others reported stability or no change. Several studies also reported improvements in treatment adherence and perceived self-efficacy. Of the 12 studies, 11 incorporated at least 1 SCT construct, with most integrating behavioral capability and self-efficacy as core components. Interventions using multiple SCT constructs showed greater promise for supporting sustained behavior change. Conclusions: mHealth apps for pediatric T1DM are complex behavioral interventions that often leverage key principles of SCT to promote effective self-management. Although the evidence supports modest benefits in glycemic control and behavioral outcomes, heterogeneity in study design and outcome measurement limits broader generalizability. Future research should prioritize the development and evaluation of SCT-informed digital interventions with standardized outcome frameworks to improve pediatric diabetes care.
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