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Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge

20. september 2026 oppdatert av: Ahsen Demirhan, Sakarya University

Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge: A Randomized Controlled Trial

This randomized controlled trial evaluated the effects of structured case-based training delivered through an artificial intelligence-supported educational virtual patient chatbot platform on nursing students' gynecological cancer knowledge and self-perceived clinical decision-making. Third-year undergraduate nursing students who had completed the Obstetrics and Gynecology Nursing course were randomly assigned in a 1:1 ratio to an intervention group or an assessment-only wait-list control group. The intervention group completed five AI-supported virtual patient training scenarios during a two-week access period, followed by a common virtual patient assessment. The control group completed the same virtual patient assessment without access to the training scenarios during the study assessment period. Knowledge and self-perceived clinical decision-making were assessed at baseline and immediately after the assigned study procedures. Virtual patient performance was assessed once at the final assessment.

Studieoversikt

Studietype

Intervensjonell

Registrering (Faktiske)

110

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiesteder

    • Turkey
      • Sakarya, Turkey, Tyrkia (Türkiye), 54050
        • Sakarya University

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

18 år og eldre (Voksen, Eldre voksen)

Tar imot friske frivillige

Ja

Kjønn som er kvalifisert for studier

Alle

Beskrivelse

Inclusion Criteria:

  • Enrolled as a third-year undergraduate nursing student.
  • Successfully completed the Obstetrics and Gynecology Nursing (Women's Health and Diseases Nursing) course.
  • Volunteered to participate and provided digital informed consent.

Exclusion Criteria:

- No additional exclusion criteria.

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: Enkelt

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: AI-Supported Virtual Patient Chatbot Training Group

Participants received access to five sequential AI-supported educational virtual patient scenarios addressing cervical, endometrial, ovarian, vulvar, and vaginal cancers. The scenarios were completed during a two-week access period. Participants responded in free text, received immediate individualized formative feedback, and were allowed up to three response attempts per scenario. After completing all five training scenarios, participants completed the common virtual patient assessment and the immediate post-intervention outcome assessments.

A web-based educational platform integrating structured gynecological oncology scenarios, AI-supported virtual patient interaction, predefined performance criteria, sequential progression, and immediate individualized formative feedback. Participants completed five training scenarios during a two-week access period. The platform used the Claude Sonnet 4 model, API identifier claude-sonnet-4-20250514, throughout the study.

Ingen inngripen: Assessment-Only Wait-List Control Group

Participants did not receive access to the AI-supported training scenarios during the outcome assessment period. They completed the baseline assessments, the same common virtual patient assessment as the intervention group, and the immediate post-assessment knowledge and clinical decision-making measures. After completing all study outcome assessments, they were granted access to the AI-supported educational scenarios.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score
Tidsramme: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures.

The CDMNS-Tr is a 40-item scale assessing self-reported clinical decision-making. Items are rated on a 5-point Likert scale ranging from 1 (never) to 5 (always), with eighteen negatively worded items being reverse-scored. Total scores range from 40 to 200, with higher scores indicating a higher self-perception of clinical decision-making abilities.

Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures.

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in Gynecological Oncology Knowledge Test Total Score
Tidsramme: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures, within approximately two weeks after baseline.

The researcher-developed test consists of 15 multiple-choice items assessing the pathophysiology, clinical manifestations, diagnosis, treatment, complications, and nursing care of gynecological cancers. Correct answers are scored as 1 and incorrect or unanswered items as 0. Total scores range from 0 to 15, with higher scores indicating greater knowledge. Change was evaluated by comparing baseline and immediate post-intervention total scores.

Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures, within approximately two weeks after baseline.

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

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 (Faktiske)

29. juni 2026

Primær fullføring (Faktiske)

2. august 2026

Studiet fullført (Faktiske)

2. august 2026

Datoer for studieregistrering

Først innsendt

2. september 2026

Først innsendt som oppfylte QC-kriteriene

4. september 2026

Først lagt ut (Faktiske)

8. september 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

23. september 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

20. september 2026

Sist bekreftet

1. september 2026

Mer informasjon

Begreper knyttet til denne studien

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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