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

Gaziantep Islam Science and Technology University63 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

SINGLE

Enrollment

Conditions

Health Behaviors Artificial Intelligence (AI)Chatbot Dry Eye Eye Strain

Interventions

Chatbot groupOTHER

Participants explored the topics using the AI chatbot platform.

website assistedOTHER

Participants explored the topics using the website platform

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Deparment of Nursing, Kilis 7 Aralık University

Kilis, Center, Turkey (Türkiye)

Outcomes

Primary Outcomes

Dry Eye and eye strain knowledge questionnaire

Time frame: From enrollment to the end of training at 4 weeks

Data from ClinicalTrials.gov

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