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

Gaziantep Islam Science and Technology University

Status: Completed

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

Treatments: Other: website assisted; Other: Chatbot group

Study type: Interventional

Funder types: Other

Identifiers

NCT06785155

GaziantepIslamSTU-01

Details and patient eligibility

About

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.

Enrollment: 63 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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63 participants in 2 patient groups

website group

Active Comparator group

Description:

Participants explored these topics using the website.

Treatment:

Other: website assisted

Chatbot group

Experimental group

Description:

Participants explored the topics using the AI chatbot platform

Treatment:

Other: Chatbot group