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

March 4, 2025 updated by: İbrahim Edhem Yılmaz, Gaziantep Islam Science and Technology University

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

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 Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

63

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Turkey
    • Center
      • Kilis, Center, Turkey, 79100
        • Deparment of Nursing, Kilis 7 Aralık University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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 Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: website group
Participants explored these topics using the website.
Other: website assisted
Participants explored the topics using the website platform
Experimental: Chatbot group
Participants explored the topics using the AI chatbot platform
Other: Chatbot group
Participants explored the topics using the AI chatbot platform.

What is the study measuring?

Primary Outcome Measures

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

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Gaziantep Islam Science and Technology University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

February 4, 2025

Primary Completion (Actual)

March 4, 2025

Study Completion (Actual)

March 4, 2025

Study Registration Dates

First Submitted

January 9, 2025

First Submitted That Met QC Criteria

January 17, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 4, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • GaziantepIslamSTU-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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