Artificial Intelligence Supported Case Analysis on Nursing Education

May 30, 2024 updated by: Seda Akutay, TC Erciyes University

The Effect of Artificial Intelligence Supported Case Analysis on Nursing Students' Case Management Performance and Satisfaction: A Randomized Controlled Trial

Background: Rapid developments in the field of artificial intelligence have begun to necessitate changes and transformations in nursing education.

Objective: This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.

Design: This study was a randomized controlled trial. Method: The study involved 188 third-year nursing students who were randomly assigned to either the AI group (n=94) and control group (n=94). An information form, case evaluation form, knowledge test, and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

188

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
      • Kayseri, Turkey
        • Erciyes 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

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • having taken nursing process lecture before
  • having planned care for at least one surgical patient in clinical practice before
  • having a mobile phone with internet connection

Exclusion Criteria:

  • not attending the case analysis lecture
  • not being an active student
  • incomplete completion of the data collection forms
  • not accepting to participate in the study

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: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-supported case lesson group
Students in this group will take an artificial intelligence-supported in-class case analysis lesson.
Other: AI-supported case
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.
No Intervention: Standard case lesson group
Students in this group will receive a standard in-class case lesson narrated by the instructor.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Case management performance
Time Frame: 3 hours
The performances of all students included in this study regarding the case lesson were evaluated by means of a knowledge test consisting of 10 questions and a Mentimeter application in which they could indicate their nursing diagnoses. The students will solve the tests after the case lessons are completed. The scores that can be obtained from the tests are between 0-100. As the score of the students increases, it can be interpreted that the level of knowledge increases. In the Mentimeter application, students will be asked to write 5 nursing diagnoses. There is no scoring here, but the application creates a word cloud with the most given answer in a larger font size.
3 hours
Case Satisfaction
Time Frame: 3 hours
The level of satisfaction with the case analysis lecture was evaluated using the VAS scale. The VAS scale is scored between 1-10. Students indicate their satisfaction with the processing of the case lesson. High scores on the VAS indicate a high level of satisfaction.
3 hours

Collaborators and Investigators

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

Sponsor

TC Erciyes University

Investigators

  • Principal Investigator: Seda Akutay, Ress. Asst., TC Erciyes 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 27, 2024

Primary Completion (Actual)

March 27, 2024

Study Completion (Actual)

March 27, 2024

Study Registration Dates

First Submitted

May 27, 2024

First Submitted That Met QC Criteria

May 30, 2024

First Posted (Actual)

June 5, 2024

Study Record Updates

Last Update Posted (Actual)

June 5, 2024

Last Update Submitted That Met QC Criteria

May 30, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • ErciyesUniversity

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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