AI Chatbot Mobile App for Self-Management in Type 2 Diabetes
Key facts
- Where
- Alexandria, EgyiptomSee the site
Where in Egyiptom
- Faculty of Nursing, Alexandria UniversityAlexandria, EgyiptomNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Alexandria University
- Trial code
- NCT07926074
- Record updated
- 2026. november 9.
- Original description
Type 2 diabetes needs daily self-management, but most of it happens outside the clinic, where patients get little continuous support. Earlier studies of mobile applications and chatbots were mostly short, and few tested whether benefits last after use stops. This randomized controlled trial will test an Arabic-language mobile application with an artificial intelligence chatbot for adults with type 2 diabetes attending outpatient diabetes clinics in Egypt. The application offers diabetes education, reminders, glucose and activity logging, goal setting, prompts that adapt when use declines, a diabetes distress check, and nurse oversight. A total of 120 adults will be randomly assigned equally to usual care plus the application for 8 weeks, or to usual care with an educational leaflet. Outcome assessors will not know group assignment. The main outcome is self-efficacy. Other outcomes are self-care behaviors, medication adherence, disease knowledge, random blood glucose, diabetes distress, and application use, measured at the start, at 8 weeks, and 6 and 12 weeks after the intervention ends. About 20 intervention participants will then be interviewed about their experiences and what helps or hinders continued use, and these findings will be combined with the trial results.Read full original descriptionShow less
Effect of an AI-Powered Chatbot-Integrated Mobile Application on Self-Efficacy, Self-Care Behaviors, and Medication Adherence Among Patients With Type 2 Diabetes Mellitus: A Mixed-Methods Randomized Controlled Trial
Type 2 diabetes needs daily self-management, but most of it happens outside the clinic, where patients get little continuous support. Earlier studies of mobile applications and chatbots were mostly short, and few tested whether benefits last after use stops. This randomized controlled trial will test an Arabic-language mobile application with an artificial intelligence chatbot for adults with type 2 diabetes attending outpatient diabetes clinics in Egypt. The application offers diabetes education, reminders, glucose and activity logging, goal setting, prompts that adapt when use declines, a diabetes distress check, and nurse oversight. A total of 120 adults will be randomly assigned equally to usual care plus the application for 8 weeks, or to usual care with an educational leaflet. Outcome assessors will not know group assignment. The main outcome is self-efficacy. Other outcomes are self-care behaviors, medication adherence, disease knowledge, random blood glucose, diabetes distress, and application use, measured at the start, at 8 weeks, and 6 and 12 weeks after the intervention ends. About 20 intervention participants will then be interviewed about their experiences and what helps or hinders continued use, and these findings will be combined with the trial results.
Inclusion: Adults aged 18 years or older with a diagnosis of type 2 diabetes for at least 6 months; Using a smartphone (Android or iOS) with internet access, or willing to use a study-provided basic training to do so; Able to read and communicate in Arabic; On a stable antidiabetic regimen for at least 3 months; Willing to provide written informed consent.
Exclusion: Type 1 or gestational diabetes; Severe cognitive impairment, psychiatric illness, or visual/hearing impairment preventing app use; Acute diabetic complications or unstable medical conditions at enrollment; Participation in another diabetes self-management trial; Healthcare workers (to limit contamination).