Artificial Intelligence (AI)NCT06978283
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
A study testing AI-assisted case analysis and Traditional case analysis in people with Artificial Intelligence (AI) and Visual Case Analysis, run by Çankırı Karatekin University at 1 site in Turkey (Türkiye).
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 24 yearsHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence (AI), Visual Case Analysis, Nursing Students
- What is being tested?
- AI-assisted case analysis and Traditional case analysis
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 84 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 9 May 2025to 10 Jul 2025
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 24 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Turkey (Türkiye)1 site
Cankiri Karatekin University. Faculty of Health Sciences.
Çankırı, Center, 18200
About this study
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.
Read more
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
- Being tested
- AI-assisted case analysis, Traditional case analysis
- Keywords
- AI-assisted, visual case analysis, Nursing Students, Artificial Intelligence (AI), pressure injury prevention, randomized controlled trial
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-assisted case analysisBehavioural
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 analysisBehavioural
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 group | Role | What they receive |
|---|---|---|
| Artificial intelligence | Experimental | 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. Receives: Behavioral: AI-assisted case analysis |
| Traditional case analysis | Active comparator | Pressure injury prevention training will be given to nursing students using the traditional case analysis method. Case analysis will be performed using written materials. Receives: Behavioral: Traditional case analysis |
What is being measured
The primary outcome is the main question the study is designed to answer.
The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI)
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.
Measured: Day 1
Secondary outcomes (1)
Attitude Towards Pressure Ulcer Prevention Device (APuP)
APuP 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.
Measured: Day 1
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 May 2025
- Study start9 May 2025 (estimated)
- Primary completion9 May 2025 (estimated)
- Study completion10 Jul 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial Intelligence (AI)Studies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- 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.
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 84 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Çankırı Karatekin University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Gözde ÖZARAS ÖZ, Çankırı Karatekin University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06978283
- Sponsor's protocol ID
- E-52950036-199-238039
- Status last verified
- May 2025
- First submitted
- 3 May 2025
- Last updated
- 18 May 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Due to participant privacy protection and ethics committee restrictions, IPD sharing is not planned.
Study at a glance
From the registry record, last updated by the sponsor on 18 May 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT06978283
- Acronym / sponsor ID
- E-52950036-199-238039
- Conditions
- Artificial Intelligence (AI), Visual Case Analysis, Nursing Students, Pressure Injury Prevention, A Single-blind Randomized Controlled Trial
- Keywords
- AI-assisted, visual case analysis, Nursing Students, Artificial Intelligence (AI), pressure injury prevention, randomized controlled trial
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 84 participants (estimated)
- Lead sponsor
- Çankırı Karatekin UniversityUniversity, hospital or other
- Study start
- 9 May 2025 (estimated)
- Primary completion
- 9 May 2025 (estimated)
- Study completion
- 10 Jul 2025 (estimated)
- First posted
- 18 May 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- 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.
| Arm | Type | Receives |
|---|---|---|
| Artificial intelligence | Experimental | Behavioral: AI-assisted case analysisNursing 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. |
| Traditional case analysis | Active comparator | Behavioral: Traditional case analysisPressure injury prevention training will be given to nursing students using the traditional case analysis method. Case analysis will be performed using written materials. |
Who may qualify
- Ages
- 18 to 24 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (7 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-assisted case analysisNursing students will perform visual case analyses of pressure injuries using an AI-based platform. The AI system will provide students with case-based feedback. | Behavioural | Artificial intelligence |
| Traditional case analysisParticipants 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. | Behavioural | Traditional case analysis |
Primary outcome
The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI)
Time frame: 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.
1 secondary outcome
Attitude Towards Pressure Ulcer Prevention Device (APuP)
Time frame: Day 1
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 May 2025.
- Individual participant dataSharing planned: No. Due to participant privacy protection and ethics committee restrictions, IPD sharing is not planned.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-assisted case analysis and Traditional case analysis in people with Artificial Intelligence (AI) and Visual Case Analysis, run by Çankırı Karatekin University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 18 May 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact GÖZDE ÖZARAS ÖZ (+905323495280, gozdeozarasoz@gmail.com.tr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The Pressure Ulcer Prevention Knowledge Assessment Instrument (PUPKAI) (time frame: Day 1). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 May 2025.