Nursing EducationNCT07806396
Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge
A study testing AI-Supported Educational Virtual Patient Chatbot Platform in people with Nursing Education and Clinical Decision-making, run by Sakarya University at 1 site in Turkey (Türkiye).
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Nursing Education, Clinical Decision-making, Gynecologic Cancers
- What is being tested?
- AI-Supported Educational Virtual Patient Chatbot Platform
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 110 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 29 Jun 2026to 2 Aug 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
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 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- No additional exclusion criteria.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: 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.
- Being tested
- AI-Supported Educational Virtual Patient Chatbot Platform
- Keywords
- Artificial Intelligence, Chatbot, Nursing Students, Virtual Patient, Gynecologic Oncology
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Supported Educational Virtual Patient Chatbot PlatformOther
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.
| Study group | Role | What they receive |
|---|---|---|
| AI-Supported Virtual Patient Chatbot Training Group | Experimental | 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. Receives: Other: AI-Supported Educational Virtual Patient Chatbot Platform |
| Assessment-Only Wait-List Control Group | No intervention | 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score
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.
Measured: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures.
Secondary outcomes (1)
Change in Gynecological Oncology Knowledge Test Total Score
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.
Measured: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures, within approximately two weeks after baseline.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Sep 2026
- Study start29 Jun 2026
- Primary completion2 Aug 2026
- Study completion2 Aug 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing EducationStudies of the same condition, open and under way.
- More trials run by Sakarya UniversityThe sponsor's other registered studies.
- 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
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 110 participants (actual)
Sponsor and investigators
- Lead sponsor
- Sakarya University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ahsen Demirhan, Sakarya University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07806396
- Sponsor's protocol ID
- 02.09.2026
- Status last verified
- Sep 2026
- First submitted
- 2 Sep 2026
- Last updated
- 23 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 23 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07806396
- Acronym / sponsor ID
- 02.09.2026
- Keywords
- Artificial Intelligence, Chatbot, Nursing Students, Virtual Patient, Gynecologic Oncology
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 110 participants (actual)
- Lead sponsor
- Sakarya UniversityUniversity, hospital or other
- Study start
- 29 Jun 2026 (actual)
- Primary completion
- 2 Aug 2026 (actual)
- Study completion
- 2 Aug 2026 (actual)
- First posted
- 8 Sep 2026 (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.
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.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AI-Supported Virtual Patient Chatbot Training Group | Experimental | Other: AI-Supported Educational Virtual Patient Chatbot PlatformParticipants 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. |
| Assessment-Only Wait-List Control Group | No intervention | –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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (1 listed)
- No additional exclusion criteria.
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-Supported Educational Virtual Patient Chatbot PlatformA 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. | Other | AI-Supported Virtual Patient Chatbot Training Group |
Primary outcome
Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score
Time frame: 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.
1 secondary outcome
Change in Gynecological Oncology Knowledge Test Total Score
Time frame: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures, within approximately two weeks after baseline.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Sep 2026.
- Individual participant dataSharing planned: No
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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. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
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-Supported Educational Virtual Patient Chatbot Platform in people with Nursing Education and Clinical Decision-making, run by Sakarya 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 1 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: finished, as of the sponsor's last update on 23 Sep 2026. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score (time frame: Baseline, before access to any group-specific study procedure, and immediately after completion of the assigned study procedures.). 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 23 Sep 2026.