AI Chatbot-Based Learning on Dry Eye and Eye Strain Knowledge

Not Applicable

Completed

• Conditions: Health Behaviors; Artificial Intelligence (AI); Chatbot; Dry Eye; Eye Strain

• Registration Number: NCT06785155
• Lead Sponsor: Gaziantep Islam Science and Technology University

Brief Summary

The aim of this project is to evaluate the effectiveness of using chatbots for patient education about dry eye disease. The study will examine how the chatbot affects patients' levels of information, managing symptoms, and overall satisfaction.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2025-01-09
• Study First Submitted QC: 2025-01-17
• Study First Posted: 2025-01-21
• Study Start: 2025-02-04
• Status Verified: 2025-03
• Primary Completion: 2025-03-04
• Study Completion: 2025-03-04
• Last Update Submitted: 2025-03-04
• Last Update Posted: 2025-03-05

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 63

Inclusion Criteria

• to be actively enrolled in the nursing program
• to demonstrate baseline digital literacy.

Exclusion Criteria

• diagnosed visual impairments,
• those with prior specialized ophthalmological training,
• individuals with limited digital technology proficiency

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Dry Eye and eye strain knowledge questionnaire	From enrollment to the end of training at 4 weeks

Trial Locations

Locations (1)

Deparment of Nursing, Kilis 7 Aralık University; 🇹🇷 Kilis, Center, Turkey