- ICH GCP
- Register voor klinische proeven in de VS.
- Klinische proef NCT07564544
AI-Based Clinical Orientation for Nursing Students (ClinicOrient)
3 mei 2026 bijgewerkt door: Fatma Taş Arslan, Selcuk University
The Effects of an Artificial Intelligence-Based Clinical Orientation Program on Nursing Students Orientation Process in Pediatric Nursing Practice
Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical practice.Materials and Methods: The study population will consist of 186 third-year nursing students enrolled in the spring semester at a state university.
The sample will include 90 students (45 intervention, 45 control) who meet the study criteria and volunteer to participate.
Students in the intervention group will receive an AI-based clinical orientation program, while the control group will receive no additional intervention beyond the standard faculty and hospital orientation.
Data will be collected between February and March 2026 using a "Descriptive Information Form," the "Clinical Adaptation Scale for Student Nurses," and the "Therapeutic Communication Skills Scale for Nursing Students" in a pre-test/post-test design.Statistical Analysis: Data will be analyzed using SPSS 25.0.
Descriptive statistics (frequency, percentage, mean, and standard deviation) will be used.
Normality will be assessed via Kolmogorov-Smirnov/Shapiro-Wilk tests.
For group comparisons, Chi-square, ANOVA, independent samples t-test, Mann-Whitney U, and Wilcoxon tests will be utilized.
The statistical significance level will be set at $p < 0.05$.Ethical Considerations: Ethical committee approval and necessary permissions from scale authors will be obtained before the study begins.
Informed consent will be collected from all participants after explaining the study objectives.Keywords: Orientation training, nursing, student, artificial intelligence, clinical practice.
Studie Overzicht
Toestand
Nog niet aan het werven
Conditie
Interventie / Behandeling
Studietype
Ingrijpend
Inschrijving (Geschat)
90
Fase
- Niet toepasbaar
Contacten en locaties
In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.
Studiecontact
- Naam: Fatma Tas Arslan, Prof. Dr.
- Telefoonnummer: +905058013067
- E-mail: fatmatas61@hotmail.com
Studie Locaties
-
-
Konya
-
Konya, Konya, Turkije (Türkiye), 42250
- Selcuk University
-
-
Selçuklu
-
Konya, Selçuklu, Turkije (Türkiye), 42060
- Selcuk University
-
-
Deelname Criteria
Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Ja
Beschrijving
Inclusion Criteria:
- Being enrolled in the Pediatric Nursing course for the first time.
- Being a third-year nursing student.
- Providing voluntary informed consent to participate in the study.
Exclusion Criteria:
- Being absent during the course of the study.
- Currently being employed as a healthcare professional.
- Having a frozen enrollment status.
Studie plan
Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Ander
- Toewijzing: Gerandomiseerd
- Interventioneel model: Parallelle opdracht
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
|
Geen tussenkomst: Control Group
Students who do not receive AI-supported orientation training.
|
|
|
Experimenteel: Intervention Group (Artificial Intelligence-Based Clinical Orientation Program)
Students receiving AI-supported orientation training
|
The program was implemented via a researcher-developed website featuring seven modules: Therapeutic Communication, Patient Safety, Medical Equipment, Infection Control, Care Plans, Ethics/Privacy, and Stress Management.
AI was utilized to develop scenarios, create audiovisual materials, and simulate realistic clinical environments.
Each 5-minute video used no real patient data.
A sequential progression was enforced, requiring completion of one module to start the next.
Knowledge was assessed after each module via 5-10 Kahoot questions.
A gamified approach was used where the fastest, most accurate students earned digital badges, with the top three overall being recognized as winners.
Content validity was ensured through expert opinions from pediatric nursing faculty, and necessary adjustments were made based on their feedback.
Andere namen:
|
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Introductory Information Form
Tijdsspanne: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
The form was developed by the researchers in line with the relevant literature.
The form consists of 3 sections and 8 questions: descriptive characteristics (age, gender, grade point average), information related to clinical adaptation (difficulty in adapting when first starting the clinical environment, difficulty in communicating with patients/families during clinical practice, and experiencing anxiety-stress before clinical practice), and information related to artificial intelligence (use of artificial intelligence programs and willingness to learn and use technological developments such as artificial intelligence).
|
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Clinical Adaptation Scale for Student Nurses
Tijdsspanne: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
The scale was to comprehensively evaluate the clinical adaptation of student nurses in clinical practice.
It was adapted into Turkish.
The scale has three subdimensions: Professional Development and Interpersonal Interaction, Clinical Competence and Confidence, and Coping and Support Strategies.
It consists of 15 items in a 5-point Likert-type format.
The total score ranges from 15 to 75.
A higher score indicates better clinical adaptation.
The scale does not have a defined cut-off point or reverse-coded items.
The Cronbach's alpha coefficient of the scale is 0.91.
|
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
Andere uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Therapeutic Communication Skills Scale for Nursing Students
Tijdsspanne: Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
The scale was to determine the therapeutic communication skills of nursing students.
It has three subdimensions: Non-therapeutic Communication Skills, Therapeutic Communication Skills 1, and Therapeutic Communication Skills 2. The scale consists of 16 items in a 7-point Likert-type format (1 = Never, 4 = Sometimes, 7 = Always).
There are no reverse-coded items in the scale.
The maximum possible score is 168, and the minimum possible score is 24.
The Cronbach's alpha value of the "Therapeutic Communication Skills Scale for Nursing Students" is 0.775.
|
Pre-test (before the AI-supported orientation training), post-test (2 weeks after the AI-supported orientation training), and follow-up test (2 months later).
|
Medewerkers en onderzoekers
Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.
Sponsor
Onderzoekers
- Hoofdonderzoeker: Fatma Tas Arslan, Selcuk University
Publicaties en nuttige links
De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.
Nuttige links
Studie record data
Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.
Bestudeer belangrijke data
Studie start (Geschat)
30 april 2026
Primaire voltooiing (Geschat)
11 mei 2026
Studie voltooiing (Geschat)
11 juni 2026
Studieregistratiedata
Eerst ingediend
16 april 2026
Eerst ingediend dat voldeed aan de QC-criteria
26 april 2026
Eerst geplaatst (Werkelijk)
4 mei 2026
Updates van studierecords
Laatste update geplaatst (Werkelijk)
7 mei 2026
Laatste update ingediend die voldeed aan QC-criteria
3 mei 2026
Laatst geverifieerd
1 mei 2026
Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- SU-Clinic Orient
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
NEE
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Nee
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
Nee
Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .