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
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-assisted case analysis, Traditional case analysis.
- Who it may be relevant to
- Registry conditions: Artificial Intelligence (AI), Visual Case Analysis, Nursing Students, Pressure Injury Prevention. Basic parameters: 18 years — 24 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Turkey (Türkiye)
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The goal of this clinical trial is to examine the effect of artificial intelligence-assisted visual case analysis on nursing students' knowledge and attitudes towards pressure injury prevention. The main hypotheses it aims to answer are: * 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.
Interventions
- Behavioral 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. - Behavioral 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.
Primary outcome measures
- The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI) [Time frame: Day 1]
Secondary outcome measures (1)
- Attitude Towards Pressure Ulcer Prevention Device (APuP) [Time frame: Day 1]
Eligibility criteria
Inclusion criteria
- Taking the Fundamentals of Nursing II course for the first time
- Not working as a nurse in a health institution.
- Volunteering to participate in the study.
Exclusion criteria
- Having previously received patient pressure injury prevention training;
- 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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Health services research
Study locations
Turkey (Türkiye) · 1 center
- Cankiri Karatekin University. Faculty of Health Sciences. — Çankırı
Identifiers
NCT: NCT06978283 · E-52950036-199-238039