Artificial IntelligenceNCT06443983
Artificial Intelligence Supported Case Analysis on Nursing Education
A study testing AI-supported case in people with Artificial Intelligence and Nursing Education, run by TC Erciyes University at 1 site in Turkey (Türkiye).
Trial summary
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… Read more about this study
- Who is it for?
- Ages 20 to 25 yearsHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence, Nursing Education, Nursing Students
- What is being tested?
- AI-supported case
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 188 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 27 Feb 2024to 27 Mar 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 25 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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.
- Conditions
- Artificial Intelligence, Nursing Education, Nursing Students
- Being tested
- AI-supported case
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-supported caseOther
In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.
| Study group | Role | What they receive |
|---|---|---|
| AI-supported case lesson group | Experimental | Students in this group will take an artificial intelligence-supported in-class case analysis lesson. Receives: Other: AI-supported case |
| Standard case lesson group | No intervention | Students in this group will receive a standard in-class case lesson narrated by the instructor. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Case management performance
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.
Measured: 3 hours
Case Satisfaction
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.
Measured: 3 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Jun 2024
- Study start27 Feb 2024
- Primary completion27 Mar 2024
- Study completion27 Mar 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Artificial IntelligenceStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- In this study, students will be divided into two groups: those who take an AI-supported case lesson and those who take a standard case lesson.
- Masking
- None (open label)
- Enrolment
- 188 participants (actual)
Sponsor and investigators
- Lead sponsor
- TC Erciyes University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Seda Akutay, TC Erciyes University
- Investigators
- Seda Akutay, Ress. Asst., Principal investigator, TC Erciyes University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06443983
- Sponsor's protocol ID
- ErciyesUniversity
- Status last verified
- May 2024
- First submitted
- 27 May 2024
- Last updated
- 5 Jun 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Akutay S, Yuceler Kacmaz H, Kahraman H. The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial. Nurse Educ Pract. 2024 Oct;80:104142. doi: 10.1016/j.nepr.2024.104142. Epub 2024 Sep 12.
PubMed 39299058
Study at a glance
From the registry record, last updated by the sponsor on 5 Jun 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of Artificial Intelligence Supported Case Analysis on Nursing Students' Case Management Performance and Satisfaction: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT06443983
- Acronym / sponsor ID
- ErciyesUniversity
- Conditions
- Artificial Intelligence, Nursing Education, Nursing Students
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 188 participants (actual)
- Lead sponsor
- TC Erciyes UniversityUniversity, hospital or other
- Study start
- 27 Feb 2024 (actual)
- Primary completion
- 27 Mar 2024 (actual)
- Study completion
- 27 Mar 2024 (actual)
- First posted
- 5 Jun 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- In this study, students will be divided into two groups: those who take an AI-supported case lesson and those who take a standard case lesson.
| Arm | Type | Receives |
|---|---|---|
| AI-supported case lesson group | Experimental | Other: AI-supported caseStudents in this group will take an artificial intelligence-supported in-class case analysis lesson. |
| Standard case lesson group | No intervention | –Students in this group will receive a standard in-class case lesson narrated by the instructor. |
Who may qualify
- Ages
- 20 to 25 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (3 listed)
- 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
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-supported caseIn the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence. | Other | AI-supported case lesson group |
Primary outcome
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.
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Jun 2024.
- Derived from this study: PubMed 39299058Akutay S, Yuceler Kacmaz H, Kahraman H. The effect of artificial intelligence supported case analysis on nursing students' case management performance and satisfaction: A randomized controlled trial. Nurse Educ Pract. 2024 Oct;80:104142. doi: 10.1016/j.nepr.2024.104142. Epub 2024 Sep 12.
Related trials for Artificial Intelligence
RecruitingObservational study
Feasibility Study of a Chatbot AI-Driven Preliminary Screening System for Hereditary Cancer Syndromes
Hereditary Cancer Syndromes
Not yet recruitingPhase 3
Recombinant Human Prourokinase for Acute Ischemic Stroke in the Extended Window Selected by CT-Based Artificial Intelligence
Acute Ischemic Stroke
RecruitingObservational study
Opportunistic Breast Cancer Screening Using Non-Contrast Chest CT
Breast Cancer
Not yet recruiting
Effect of a Breastfeeding Chatbot on Mothers' Breastfeeding Attitudes, Behaviors, and Self-Efficacy
Breastfeeding, Breastfeeding Attitudes
Recruiting
Vision-Language-Based Large-Scale Model for Emergency Screening
Acute Thoraco-Abdominal Emergency Lesions
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Seda Akutay, Ress. Asst. principal investigator
TC Erciyes University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-supported case in people with Artificial Intelligence and Nursing Education, run by TC Erciyes University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 5 Jun 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Case management performance (time frame: 3 hours). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06443983, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Jun 2024.