Debby Syahru Romadlon, Hui-Chuan Huang, Yu-Chi Chen, Sophia H Hu, Rudy Kurniawan, Tri Juli Edi Tarigan, Safiruddin Al Baqi, Faizul Hasan, Hsiao-Yean Chiu
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引用次数: 0
Abstract
Background: To investigate the effects of personalized DiaBetes TEXT messaging combined with Peer Support Education (DB-TEXT+ PSE) on clinical outcomes in patients with type 2 diabetes.
Methods: An assessor-blinded, three-arm randomized controlled trial recruited 84 participants between December 2022 and July 2023. Participants were randomly assigned to a DB-TEXT + PSE group, a DB-TEXT group, or a professional education program (PEP) group. Primary outcomes included glycated hemoglobin (HbA1c), fasting blood glucose (FBG) levels, and clinical remission rates, whereas secondary outcomes measured lipid profiles, fatigue, sleep quality, depression, and quality of life (QoL). Outcomes were assessed at baseline (T0), three months (T1), and six months (T2) postintervention.
Results: Relative to PEP, personalized DB-TEXT + PSE and DB-TEXT alone led to significantly reduced HbA1c levels at T1 and decreased FBG levels at T1 and T2. Type 2 diabetes remission was achieved by 35.7% and 50% of the participants in the DB-TEXT + PSE group, by 17.9% and 25% in the DB-TEXT group, and by 3.7% and 3.7% in the PEP group at T1 and T2, respectively. Relative to the PEP, DB-TEXT + PSE led to significantly reduced TC levels, diastolic blood pressure (DBP), and systolic blood pressure (SBP) and improved sleep quality and QoL over time.
Conclusions: Personalized DB-TEXT + PSE is more effective at enhancing clinical outcomes, reducing fatigue, improving sleep quality, and improving quality of life in patients with type 2 diabetes than DB-TEXT alone and PEPs are. Educators can incorporate personalized DB-TEXT + PSE as a component of diabetes education programs and thereby integrate digital interventions and supplementary programs.
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.