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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

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

Status
Not yet recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06978283
Enrollment
84
Registered
2025-05-18
Start date
2025-05-09
Completion date
2025-07-10
Last updated
2025-05-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence (AI), A Single-blind Randomized Controlled Trial, Nursing Students, Pressure Injury Prevention, Visual Case Analysis

Keywords

AI-assisted, visual case analysis, Nursing Students, Artificial Intelligence (AI), pressure injury prevention, randomized controlled trial

Brief 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.

Interventions

BEHAVIORALAI-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.

BEHAVIORALTraditional 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

Çankırı Karatekin University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Intervention model description

This study will conduct as a single-blind randomized controlled trial according to the CONSORT guideline to evaluate the effect of AI-assisted visual case analysis on nursing students' knowledge and attitudes towards pressure injury prevention.

Eligibility

Sex/Gender
ALL
Age
18 Years to 24 Years
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frameDescription
The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI)Day 1The 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.

Secondary

MeasureTime frameDescription
Attitude Towards Pressure Ulcer Prevention Device (APuP)Day 1APuP was developed by Beeckman and colleagues from Ghent University in Belgium in 2010 to examine the attitudes of nursing students towards the prevention of pressure injuries. The scale consists of five sub-dimensions and 13 items. The sub-dimensions are attitude towards personal competence in preventing pressure injuries, attitude towards the priority of preventing pressure injuries, attitude towards the impact of pressure injuries, attitude towards personal responsibility in preventing pressure injuries and attitude towards the effectiveness of prevention. Items 3, 5, 7, 8, 9, 10 and 13 are reverse scored. The scores on the scale range from 13 to 52. An average attitude score of more than 75% is considered satisfactory. High total APuP scores indicate positive attitudes. The validity and reliability study of the scale for the Turkish population was conducted by Üstün in 2013.

Countries

Turkey (Türkiye)

Contacts

Primary ContactGÖZDE ÖZARAS ÖZ
gozdeozarasoz@gmail.com.tr+905323495280

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026