The Effect of Artificial Intelligence-assisted Visual Case Analysis on Nursing Students' Knowledge and Attitudes Towards Pressure Injury Prevention: A Single-blind Randomized Controlled Trial
NCT ID: NCT06978283
Last Updated: 2025-05-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
84 participants
INTERVENTIONAL
2025-05-09
2025-07-10
Brief Summary
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* AI-assisted visual case analysis affects nursing students' knowledge about pressure injury prevention.
* AI-assisted visual case analysis affects nursing students' attitudes toward pressure injury prevention.
Researchers will compare AI-assisted case analysis to conventional case analysis to see if it affected nursing students' knowledge and attitudes about pressure injury prevention.
Participants,
* The case group will shown an AI-supported presentation explaining the pressure injury prevention case. The control group will given a classic case analysis.
* At the end of the case, the PUPKAI and APuP scales will administered to the students in written form in the classroom.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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Artificial intelligence
Nursing students will be provided with pressure injury prevention training using AI-assisted visual case analysis. The cases will be analyzed through an AI-assisted platform, and the students' knowledge and attitude levels were assessed.
AI-assisted case analysis
Nursing students will perform visual case analyses of pressure injuries using an AI-based platform. The AI system will provide students with case-based feedback.
Traditional case analysis
Pressure injury prevention training will be given to nursing students using the traditional case analysis method. Case analysis will be performed using written materials.
Traditional case analysis
Participants will be present with written case scenarios and a case analysis will conduct with the instructor. The training process will be carried out with group discussions and the instructor's guidance. No technological or artificial intelligence support will be used.
Interventions
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AI-assisted case analysis
Nursing students will perform visual case analyses of pressure injuries using an AI-based platform. The AI system will provide students with case-based feedback.
Traditional case analysis
Participants will be present with written case scenarios and a case analysis will conduct with the instructor. The training process will be carried out with group discussions and the instructor's guidance. No technological or artificial intelligence support will be used.
Eligibility Criteria
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Inclusion Criteria
* Not working as a nurse in a health institution.
* Volunteering to participate in the study.
Exclusion Criteria
* Having repeated the Fundamentals of Nursing II course;
* Having difficulty speaking and understanding Turkish;
* Exceeding the course attendance time
* Not attending pressure injury prevention training and evaluation
* Filling in incomplete data
* Graduating from a health-related high school or university.
18 Years
24 Years
ALL
Yes
Sponsors
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Çankırı Karatekin University
OTHER
Responsible Party
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Gözde ÖZARAS ÖZ
Principal Investigator
Locations
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Cankiri Karatekin University. Faculty of Health Sciences.
Çankırı, Center, Turkey (Türkiye)
Countries
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Central Contacts
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Other Identifiers
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E-52950036-199-238039
Identifier Type: -
Identifier Source: org_study_id
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