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

Condition(s) studied

Investigational drug(s) / intervention(s)

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.

Study 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.

Eligibility

Primary outcome measure(s)

• The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI) — Day 1
  The PUPKAI was developed by Beeckman and colleagues. It includes six subscales: etiology and development, classification and monitoring, risk assessment, nutrition, preventive interventions to reduce the amount of pressure/slip, and preventive measures to reduce the duration of pressure/slip. Each question has three answer options, one of which is correct. The total number of correct answers for each subscale and the entire instrument indicates the level of knowledge. The maximum score that can be obtained from the instrument is 26, and the acceptable score for proficiency is ≥ 16 (60%). The validity and reliability of the instrument in the Turkish population was tested by Tulek and colleagues. The content validity index of the instrument was 0.94. The internal consistency reliability for the overall instrument was determined using the Kuder-Richardson test. The Kuder-Richardson-20 value was 0.80.

Trial sites (1)

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