Published in:
Open Access
01-12-2019 | Type 1 Diabetes | Research article
Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis
Authors:
Xuemei Wang, Wei Shu, Jian Du, Maolin Du, Peiyu Wang, Mingming Xue, Huiqiu Zheng, Yufeng Jiang, Shaohua Yin, Danyan Liang, Ruiqi Wang, Lina Hou
Published in:
BMC Endocrine Disorders
|
Issue 1/2019
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Abstract
Background
As an insulin-dependent disease, type 1 diabetes requires paying close attention to the glycemic control. Studies have shown that mobile health (mHealth) can improve the management of chronic diseases. However, the effectiveness of mHealth in controlling the glycemic control remains uncertain. The objective of this study was to carry out a systematic review and meta-analysis using the available literature reporting findings on mHealth interventions, which may improve the management of type 1 diabetes.
Methods
We performed a systematic literature review of all studies in the PubMed, Web of Science, and EMbase databases that used mHealth (including mobile phones) in diabetes care and reported glycated hemoglobin (HbA1c) values as a measure of glycemic control. The fixed effects model was used for this meta-analysis.
Results
This study analyzed eight studies, which involved a total of 602 participants. In the meta-analysis, the fixed effects model showed a statistically significant decrease in the mean of HbA1c in the intervention group: − 0.25 (95% confidence interval: − 0.41, − 0.09; P = 0.003, I2 = 12%). Subgroup analyses indicated that the patient’s age, the type of intervention, and the duration of the intervention influenced blood glucose control. Funnel plots showed no publication bias.
Conclusions
Mobile health interventions may be effective among patients with type 1 diabetes. A significant reduction in HbA1c levels was associated with adult age, the use of a mobile application, and the long-term duration of the intervention.