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Effect of a Breastfeeding Chatbot on Mothers' Breastfeeding Attitudes, Behaviors, and Self-Efficacy
Sponsor: Adiyaman University
Summary
This randomized controlled trial aims to evaluate the effects of an artificial intelligence (AI)-based chatbot developed to address breastfeeding problems on mothers' breastfeeding attitudes, behaviors, and self-efficacy. The study will also assess exclusive breastfeeding rates, breastfeeding duration, and the technical performance and usability of the developed chatbot. The study is planned to include 92 primiparous mothers allocated to intervention and control groups. The intervention involves an AI-based breastfeeding counseling chatbot developed using natural language processing (NLP) and Retrieval-Augmented Generation (RAG) technology. The chatbot will provide evidence-based breastfeeding education, information, and counseling support using an expert-reviewed breastfeeding knowledge base. The system is designed to support mothers in managing breastfeeding-related difficulties and will not provide medical diagnoses or replace healthcare professionals. Breastfeeding attitudes, self-efficacy, and behaviors will be evaluated during the postpartum follow-up period. Assessments will be conducted at baseline and at the first, third, and sixth postpartum months. Exclusive breastfeeding rates and breastfeeding duration will also be assessed. Additionally, the chatbot's technical performance, response reliability, medical safety, user satisfaction, and usability will be evaluated. The study aims to provide scientific evidence regarding the effectiveness and feasibility of an AI-supported, evidence-based breastfeeding counseling intervention.
Official title: The Effect of a Chatbot Developed for Breastfeeding Problems on Mothers' Breastfeeding Attitudes, Behaviors, and Self-Efficacy
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
92
Start Date
2026-11-02
Completion Date
2027-05-30
Last Updated
2026-10-28
Healthy Volunteers
Yes
Conditions
Interventions
AI-Based Breastfeeding Counseling Chatbot
Participants in the intervention group will receive access to an AI-based breastfeeding counseling chatbot for six months postpartum, in addition to routine breastfeeding care. The chatbot uses natural language processing and Retrieval-Augmented Generation (RAG) technology to provide evidence-based information from an expert-reviewed breastfeeding knowledge base. It offers guidance on breastfeeding techniques, common breastfeeding difficulties, and educational resources through an interactive conversational interface. The system provides personalized educational support based on user questions and directs mothers to healthcare professionals when clinical evaluation is needed. It does not provide diagnoses or treatment recommendations. Chatbot usage and user interactions will be recorded for evaluation.
Locations (1)
Adiyaman University Training and Research Hospital
Merkez, Adıyaman Province, Turkey (Türkiye)