Impact of Artificial Intelligence Chatbots on Medication Adherence, Glycemic Control and Diabetes Distress among Adolescents with Diabetes Mellitus

Document Type : Original Article

Authors

1 Lecturer of Pediatric Nursing, Faculty of Nursing, Assiut University, Egypt

2 Assistant professor of Pediatric Nursing, Faculty of Nursing, Assiut University, Egypt

10.21608/ejhc.2025.433434

Abstract

Background: Numerous researchers have emphasized the potential advantages of artificial intelligence chatbots in managing diabetes and other chronic diseases. Aim of the present study was to evaluate the impact of artificial intelligence chatbots on medication adherence, glycemic control and diabetes distress among adolescents with diabetes mellitus. Subjects and method: this study was conducted at pediatric endocrinology clinic in Assiut University children's hospital, a pre-experimental research design (one group pre- post design) was used. This trial involved thirty children. Four tools were used to get the data of this study, Tool I: Background information form, Tool II: Medication adherence assessment tool, Tool III: Glycemic control level, Tool IV: Diabetes distress scale. The results of this study showed a statistically significant difference (p-value of 0.001**) between before and after the intervention regarding medication adherence, glycemic control and diabetes distress. The researchers concluded that implementation of artificial intelligence chatbots leads to a significant improvement in medication adherence rates, glycemic levels (e.g., HbA1c) and reduction in diabetes distress among adolescents with diabetes mellitus. The researchers recommended that integrate chatbots-based education into routine diabetes care and use chatbots in broader populations, including children with limited literacy, rural access issues, or other chronic conditions.

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