[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100632785":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":23,"centralContacts":27,"locations":37,"responsibleParty":53,"collaborators":23,"id":57,"slug":58,"hasResults":59,"nctId":60,"briefTitle":61,"officialTitle":61,"acronym":9,"eligibilityCriteria":62,"healthyVolunteers":59,"sex":63,"minAge":23,"maxAge":23,"enrollmentInfo":64,"targetDuration":23,"studyType":67,"phases":68,"briefSummary":70,"conditions":71,"keywords":75,"overallStatus":83,"whyStopped":23,"lastUpdateSubmitDate":84,"lastUpdatePostDateStruct":85,"startDateStruct":88,"completionDateStruct":90,"leadSponsor":92,"locationsCount":93},{"fullName":5,"class":6},"Gazi University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-VRS","EXPERIMENTAL","At the start of the study, participants will be asked to complete a demographic questionnaire and the Melbourne Decision-Making Scale. They will then be assigned to research groups based on their overall academic grade point average and their experience with virtual reality (VR) headsets. Before the intervention, participants will be provided with a pre-intervention information guide. The experimental group will undergo training using an AI-supported VR simulation designed to facilitate taking a patient history, identifying symptoms, and determining a nursing diagnosis. Two weeks after the training, concurrently with the control group, they will undertake an assessment case study in which they must analyse the case individually, without instructor support, to identify nursing diagnoses and symptoms. They will then complete the Melbourne Decision-Making Scale, the Simulation Design Scale, and a satisfaction questionnaire regarding the training methods.",[13],"Other: AI-VRS",{"label":15,"type":6,"description":16,"interventionNames":17},"Control","At baseline, participants will complete a demographic questionnaire and the Melbourne Decision-Making Scale. Participants will then be allocated to study groups using a stratified randomisation approach based on academic grade point average and prior experience with VR headsets.\n\nThe control group will receive traditional case-based training using written clinical scenarios. Following the training, a two-week interval will be observed. After this period, both the control and experimental groups will complete an assessment case simultaneously. During this assessment, participants will be required to independently analyse the case, identify the patient's symptoms, and formulate appropriate nursing diagnoses without instructor support.\n\nAfter completing the assessment, participants will again complete the Melbourne Decision-Making Scale as a post-test measure.",[18],"Other: Control",[20,24],{"type":6,"name":9,"description":21,"armGroupLabels":22,"otherNames":23},"This intervention consists of an AI-supported virtual reality (VR) simulation designed to improve nursing students' holistic care skills. Participants interact with a virtual patient to perform patient history-taking, identify symptoms, and formulate nursing diagnoses across the dimensions of holistic care (physical, psychological, social, and spiritual). The simulation is delivered using Meta Quest 3 VR headsets and incorporates artificial intelligence to provide dynamic, responsive patient interactions. The intervention includes structured simulation scenarios with high-fidelity graphics and interactive decision-making processes to support skill acquisition.",[9],null,{"type":6,"name":15,"description":25,"armGroupLabels":26,"otherNames":23},"This intervention consists of traditional case-based training delivered through presentations and question-and-answer discussions. Participants will analyse case scenarios and receive feedback from instructors. This approach provides a practical learning experience without using VR technology.",[15],[28,33],{"name":29,"role":30,"phone":31,"phoneExt":23,"email":32},"Nurcan Çalışkan, Prof., PhD","CONTACT","+90 312 216 2653","nurcany@gazi.edu.tr",{"name":34,"role":30,"phone":35,"phoneExt":23,"email":36},"Özlem Tikit, Research Assistant, PhD student","+90 0554 756 58 04","ozlemtikit@gazi.edu.tr",[38],{"facility":39,"status":23,"city":40,"state":23,"zip":41,"country":42,"countryCode":23,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"Gazi University Nursing Faculty","Ankara","06500","Turkey (Türkiye)",{"type":44,"coordinates":45},"Point",[46,47],32.85427,39.91987,{"lat":47,"lon":46},[50,52],{"name":29,"role":30,"phone":51,"phoneExt":23,"email":32},"+0312 216 26 53",{"name":34,"role":30,"phone":35,"phoneExt":23,"email":36},{"type":54,"investigatorFullName":55,"investigatorTitle":56,"investigatorAffiliation":5,"oldNameTitle":23,"oldOrganization":23},"PRINCIPAL_INVESTIGATOR","Nurcan Çalışkan","Professor of Nursing","100632785","the-effect-of-an-artificial-intelligence-supported-virtual-reality-simulation-on-nursing-students-holistic-care-skills-100632785",false,"NCT07518199","The Effect of an Artificial Intelligence-Supported Virtual Reality Simulation on Nursing Students' Holistic Care Skills","Inclusion Criteria:\n\n* Voluntary participation in the study,\n* Having enrolled for the first time in the courses HEM 402 Professional Practice I and HEM 404 Professional Practice II in the Department of Nursing, Faculty of Health Sciences,\n* Absence of eye conditions affecting depth perception, such as amblyopia (lazy eye), anisometropia(different refractive errors in each eye), and strabismus (squint). (Self- report is accepted.),\n* Academic performance score between 2.00 and 4.00.,\n\nExclusion Criteria:\n\n* Having received training in holistic care skills in addition to their undergraduate nursing degree,\n* Having experience with virtual simulation exercises focused on holistic care skills,\n* Holding a high school, foundation year or undergraduate degree in a health-related field,\n* Having difficulty understanding and speaking Turkish,\n\nCriteria for Exclusion from the Study:\n\n* The participant has not completed or has incompletely completed the required forms and scales,\n* The participant in the experimental group had not taken part in or completed the AI-supported virtual reality simulation,\n* Students in the control group did not take part in the educational case study,\n* Students in the experimental and control groups did not take part in the assessment case study,\n* The participant wishes to withdraw from the study,","ALL",{"count":65,"type":66},80,"ESTIMATED","INTERVENTIONAL",[69],"NA","This study aims to evaluate the effect of artificial intelligence (AI)-supported virtual reality (VR) simulation on nursing students' holistic care skills. The study is a randomised controlled trial involving fourth-year nursing students, divided into an experimental and a control group. Whilst the experimental group will receive AI-supported VR simulation training, the control group will receive traditional case-based training. Outcomes to be assessed include decision-making, symptom identification, nursing diagnosis, simulation design and satisfaction with the training methods.",[72,73,74],"Nursing Students","Decision-Making","Diagnostic Reasoning",[76,77,78,79,80,81,82],"Artificial Intelligence","Simulation Training","Immersive Virtual Reality","Nursing Education","Holistic Care","Nursing Diagnoses","Educational Technology","NOT_YET_RECRUITING","2026-04-04",{"date":86,"type":87},"2026-04-08","ACTUAL",{"date":89,"type":66},"2026-04",{"date":91,"type":66},"2026-05",{"name":5,"class":6},1]