- ICH GCP
- US Clinical Trials Registry
- Klinisk utprøving NCT07564544
AI-Based Clinical Orientation for Nursing Students (ClinicOrient)
3. mai 2026 oppdatert av: 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.
Studieoversikt
Status
Har ikke rekruttert ennå
Forhold
Intervensjon / Behandling
Studietype
Intervensjonell
Registrering (Antatt)
90
Fase
- Ikke aktuelt
Kontakter og plasseringer
Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.
Studiekontakt
- Navn: Fatma Tas Arslan, Prof. Dr.
- Telefonnummer: +905058013067
- E-post: fatmatas61@hotmail.com
Studiesteder
-
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Konya
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Konya, Konya, Tyrkia (Türkiye), 42250
- Selcuk University
-
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Selçuklu
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Konya, Selçuklu, Tyrkia (Türkiye), 42060
- Selcuk University
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-
Deltakelseskriterier
Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
- Eldre voksen
Tar imot friske frivillige
Ja
Beskrivelse
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.
Studieplan
Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.
Hvordan er studiet utformet?
Designdetaljer
- Primært formål: Annen
- Tildeling: Randomisert
- Intervensjonsmodell: Parallell tildeling
- Masking: Ingen (Open Label)
Våpen og intervensjoner
Deltakergruppe / Arm |
Intervensjon / Behandling |
|---|---|
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Ingen inngripen: Control Group
Students who do not receive AI-supported orientation training.
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Eksperimentell: 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.
Andre navn:
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Introductory Information Form
Tidsramme: 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).
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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).
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Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Clinical Adaptation Scale for Student Nurses
Tidsramme: 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.
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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).
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Andre resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Therapeutic Communication Skills Scale for Nursing Students
Tidsramme: 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.
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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).
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Samarbeidspartnere og etterforskere
Det er her du vil finne personer og organisasjoner som er involvert i denne studien.
Sponsor
Etterforskere
- Hovedetterforsker: Fatma Tas Arslan, Selcuk University
Publikasjoner og nyttige lenker
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Hjelpsomme linker
Studierekorddatoer
Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.
Studer hoveddatoer
Studiestart (Antatt)
30. april 2026
Primær fullføring (Antatt)
11. mai 2026
Studiet fullført (Antatt)
11. juni 2026
Datoer for studieregistrering
Først innsendt
16. april 2026
Først innsendt som oppfylte QC-kriteriene
26. april 2026
Først lagt ut (Faktiske)
4. mai 2026
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
7. mai 2026
Siste oppdatering sendt inn som oppfylte QC-kriteriene
3. mai 2026
Sist bekreftet
1. mai 2026
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- SU-Clinic Orient
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
NEI
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Nei
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