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Determining the Effect of Home BLOOD Glucose Monitoring on HBA1C in Patients With Type 2 Diabetes Using Smartphone Application
Sponsor: Dokuz Eylul University
Summary
The purpose of this study is to evaluate the effectiveness of a web and mobile-based clinical decision support and monitoring system (1B4T mobile application) on blood glucose control, medication adherence, quality of life, and self-management in patients with poorly controlled Type 2 Diabetes Mellitus. This open-label, parallel-group, randomized controlled trial was conducted with 100 type 2 diabetes patients registered at primary care family health centers in Izmir, Turkey. Participants were randomly assigned to either the intervention group (n=50) or the control group (n=50). * Intervention Group: Participants installed the 1B4T mobile application on their smartphones, created personal accounts, and recorded their home blood glucose measurements through the app for 3 months. The app allowed patients to track their previous data and view a 10-day blood glucose prediction without directing any treatment changes. * Control Group: Participants continued with their routine healthcare follow-ups and standard controls. At baseline and at the 3-month follow-up, fasting plasma glucose and HbA1c levels were measured for all participants. Additionally, sociodemographic characteristics, medication adherence (Modified Morisky Medication Adherence Scale), quality of life (WHOQOL-BREF-TR), and diabetes self-management (Diabetes Self-Management Questionnaire - DSMQ) were evaluated to assess the clinical and behavioral outcomes of the mobile health intervention.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2021-02-01
Completion Date
2021-09-01
Last Updated
2026-06-15
Healthy Volunteers
No
Conditions
Interventions
Smartphone Application for Blood Glucose Monitoring
The intervention involves the use of the "1B4T" mobile application, a web and mobile-based clinical decision support and monitoring system developed with TUBITAK funding. Participants in the intervention group will receive a personalized username and password to log into their secure profiles on their smartphones. Patients are instructed to self-measure and log their blood glucose levels directly into the application over a 3-month period. Based on the user-entered data, the application generates and displays a 10-day blood glucose prediction, allowing patients to track their historical trends. The mobile software functions strictly as a data logging and monitoring platform for home self-management and does not provide any clinical guidance, treatment modification, or medication dosage adjustments.
Locations (1)
Dokuz Eylul University
Izmir, Turkey (Türkiye)