NCT06894888

Brief Summary

Purpose: This study aims to determine the effect of using ChatGPT, an artificial intelligence program, on the development of health materials on immunization by senior nursing students. Materials and Methods: This study was conducted as a randomized controlled trial. The universe of the study consists of N=156 senior nursing students. However, 16 students who did not participate in the study were excluded from the study. The students filled out the 'Introductory Data Form' and 'Consent' form. Then, a faculty member other than the researchers completed the assignment of the students to the groups using the simple randomization technique (randomizer.org website) and forwarded the results to one of the researchers (DN) using the sealed envelope method. The study was completed with 63 students in the intervention group and n=77 students in the control group. Within the scope of a course taken by the students, the subject of 'immunization' was explained to the class as a theoretical lesson through traditional narration. The students were given the task of designing educational materials on the subject explained. One of the researchers (DN) made an appointment with the group of students assigned to the intervention group, arranged a meeting and provided 1-hour consultancy on the use of ChatGPT. Students were asked to conduct a search on ChatGPT using 3 keywords: 'nursing, health material and immunization'. On the specified date and time, students in the intervention and control groups were gathered in the classroom and introduced the health materials, students designed in the classroom. The health materials were evaluated by the researcher (KE) in the classroom using data collection forms ('Evaluation Form of Visual Design Principles and Elements' and 'Global Quality Scale'). The research was conducted in 3 moths. The data were evaluated using the SPSS 25.0 package program. In order to conduct the research, ethics committee permission, institutional permission, scale permission and written consents were obtained from the participants.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
140

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Nov 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 25, 2024

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 20, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

February 20, 2025

Completed
21 days until next milestone

First Submitted

Initial submission to the registry

March 13, 2025

Completed
12 days until next milestone

First Posted

Study publicly available on registry

March 25, 2025

Completed
Last Updated

March 30, 2025

Status Verified

March 1, 2025

Enrollment Period

3 months

First QC Date

March 13, 2025

Last Update Submit

March 25, 2025

Conditions

Keywords

artificial intelligencepublic health nursingeducationhealth education

Outcome Measures

Primary Outcomes (1)

  • The Visual Design Principles and Elements Evaluation Form

    The Visual Design Principles and Elements Evaluation Form was developed by Yalın in 2003 in a 3-point Likert type. The measurement tool consists of 19 items. It has 3 sub-dimensions. These dimensions are named as "appropriate use of design elements", "correct use of design principles" and "structural features" respectively. There are 19 items in the form, 10 in the "appropriate use of design elements" dimension, 6 in the "correct use of design principles" dimension and 3 in the "structural features" dimension. The form is a Likert type form with three categories as "very good", "acceptable" and "weak".

    2025

Study Arms (2)

Intervention Group

EXPERIMENTAL
Other: artifial intelligence education

Control Group

NO INTERVENTION

Interventions

With the start of the use of artificial intelligence in the field of nursing, we are trying to increase the skills of students by providing them with training in this field.

Intervention Group

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Volunteering to participate in the study
  • Being in the final year of the Turkish nursing department
  • Attending the Evidence-Based Nursing Practices course

You may not qualify if:

  • Having previously prepared health materials using an artificial intelligence program

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Near East University

Nicosia, Cyprus

Location

MeSH Terms

Conditions

Health Education

Condition Hierarchy (Ancestors)

Adherence InterventionsMedication AdherencePatient CompliancePatient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehavior

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Head of Public Health Nursing Department

Study Record Dates

First Submitted

March 13, 2025

First Posted

March 25, 2025

Study Start

November 25, 2024

Primary Completion

February 20, 2025

Study Completion

February 20, 2025

Last Updated

March 30, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will not share

Data sharing can be done on a confidential basis upon request.

Locations