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
NCT06978283 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 84
Last updated 2025-05-18
Summary
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.
Conditions
- Artificial Intelligence (AI)
- Visual Case Analysis
- Nursing Students
- Pressure Injury Prevention
- A Single-blind Randomized Controlled Trial
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.
Sponsors & Collaborators
-
Çankırı Karatekin University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 24 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-05-09
- Primary Completion
- 2025-05-09
- Completion
- 2025-07-10
Countries
- Turkey (Türkiye)
Study Locations
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