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

AI Chatbot-Based Learning on Dry Eye and Eye Strain Knowledge Among Nursing Students

Status

Completed

Phases

Study type

Interventional

Source

ClinicalTrials.gov

Registry ID

NCT06785155

Enrollment

Registered

2025-01-21

Start date

2025-02-04

Completion date

2025-03-04

Last updated

2025-03-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

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

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.

Interventions

OTHERChatbot group

Participants explored the topics using the AI chatbot platform.

OTHERwebsite assisted

Participants explored the topics using the website platform

Study design

Allocation

RANDOMIZED

Intervention model

PARALLEL

Primary purpose

PREVENTION

Masking

SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

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

Design outcomes

Primary

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

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026