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Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge
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.
Studie Overzicht
Toestand
Conditie
Interventie / Behandeling
Studietype
Inschrijving (Werkelijk)
Fase
- Niet toepasbaar
Contacten en locaties
Studie Locaties
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Turkey
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Sakarya, Turkey, Turkije (Türkiye), 54050
- Sakarya University
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
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.
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Ander
- Toewijzing: Gerandomiseerd
- Interventioneel model: Parallelle opdracht
- Masker: Enkel
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
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Experimenteel: 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. |
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Geen tussenkomst: 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. |
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score
Tijdsspanne: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures.
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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.
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Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Change in Gynecological Oncology Knowledge Test Total Score
Tijdsspanne: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures, within approximately two weeks after baseline.
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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.
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Medewerkers en onderzoekers
Sponsor
Studie record data
Bestudeer belangrijke data
Studie start (Werkelijk)
Primaire voltooiing (Werkelijk)
Studie voltooiing (Werkelijk)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Andere studie-ID-nummers
- 02.09.2026
Plan Individuele Deelnemersgegevens (IPD)
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Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
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