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Published on: July 5, 2022
Digital Health Interventions in Children and Adolescents With Type 1 Diabetes Mellitus and Their Impact on Clinical
Eirena Beh1,2, Jiaying Lin1,2, Geraldyn Leong1,2
1Department of Paediatric Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore, 65 87900567.
Insights
Mobile health apps show promise for improving pediatric type 1 diabetes management, particularly when incorporating social cognitive theory principles. Further research with standardized outcomes is needed for broader impact.
Area of Science:
- Digital health interventions
- Pediatric endocrinology
- Behavioral science
Background:
- Type 1 diabetes mellitus (T1DM) self-management in children and adolescents is challenging.
- Mobile health (mHealth) interventions offer potential support for pediatric diabetes care.
- The clinical impact and behavioral mechanisms of mHealth interventions, especially those based on Social Cognitive Theory (SCT), require further investigation.
Purpose of the Study:
- To conduct a scoping review of mHealth apps for pediatric T1DM management.
- To analyze the integration of SCT principles within these mHealth interventions.
Main Methods:
- A comprehensive scoping review of 5 databases (PubMed, Cochrane Library, EMBASE, CINAHL, Scopus) was performed for studies published between January 2000 and July 2024.
- Studies evaluating mHealth apps for individuals aged 18 years or younger with T1DM were included.
- Data extraction focused on clinical outcomes (e.g., glycemic control, self-efficacy) and the presence of SCT constructs (self-efficacy, behavioral capability, expectations, reinforcements, reciprocal determinism).
Main Results:
- Twelve studies met the inclusion criteria, utilizing various designs including randomized controlled trials and pilot studies.
- App features commonly included glucose logging, insulin tracking, reminders, and educational content.
- Four of nine studies reported statistically significant improvements in Hemoglobin A1c (HbA1c); several studies noted enhanced treatment adherence and self-efficacy. Most interventions incorporated SCT constructs, with behavioral capability and self-efficacy being prevalent.
Conclusions:
- mHealth apps for pediatric T1DM are complex behavioral interventions often utilizing SCT principles.
- Evidence suggests modest benefits in glycemic control and behavioral outcomes, but study heterogeneity limits generalizability.
- Future research should focus on developing and evaluating SCT-informed digital interventions with standardized outcome measures to enhance pediatric diabetes care.
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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