[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100641416":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":17,"responsibleParty":40,"collaborators":7,"id":44,"slug":7,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":49,"eligibilityCriteria":50,"healthyVolunteers":45,"sex":51,"minAge":52,"maxAge":7,"enrollmentInfo":53,"targetDuration":7,"studyType":56,"phases":7,"briefSummary":57,"conditions":58,"keywords":63,"overallStatus":20,"whyStopped":7,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"University of Kyrenia","OTHER",null,[9],{"name":10,"affiliation":5,"role":11},"Utku Gurhan, MD","PRINCIPAL_INVESTIGATOR",[13],{"name":10,"role":14,"phone":15,"phoneExt":7,"email":16},"CONTACT","+90 539 112 6898","utkugrhn@gmail.com",[18,32],{"facility":19,"status":20,"city":21,"state":7,"zip":7,"country":22,"cosmosGeoPoint":23,"geoPoint":28,"contacts":29},"University of Kyrenia, Dr. Suat Gunsel Hospital - Orthopedic Outpatient Clinic","RECRUITING","Kyrenia","Cyprus",{"type":24,"coordinates":25},"Point",[26,27],33.31729,35.33634,{"lat":27,"lon":26},[30,31],{"name":10,"role":14,"phone":7,"phoneExt":7,"email":16},{"name":10,"role":11,"phone":7,"phoneExt":7,"email":7},{"facility":33,"status":20,"city":34,"state":7,"zip":7,"country":22,"cosmosGeoPoint":35,"geoPoint":39,"contacts":7},"Near East University Hospital - Orthopedic Outpatient Clinic","Nicosia",{"type":24,"coordinates":36},[37,38],33.35397,35.17284,{"lat":38,"lon":37},{"type":41,"investigatorFullName":42,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","Utku Gürhan","Assistant Professor of Orthopaedics and Traumatology","100641416",false,"NCT07631585","Patient AI Trust Dynamics Before and After Orthopedic Consultation (ORTHO-OP-GPT)","Longitudinal Pre-Post Patient AI Trust Dynamics in Orthopedic Outpatients: A Mixed-Methods Observational Study With Matched Physician-Patient Dyads","ORTHO-OP-GPT","Inclusion Criteria:\n\n* Age 18 years or older\n* Presenting to an orthopedic outpatient clinic for any consultation\n* Able to read and respond to a Turkish-language questionnaire\n* Provides informed consent\n\nExclusion Criteria:\n\n* Inability to complete a self-report questionnaire (e.g., severe cognitive impairment, language barrier)\n* Re-presentation within the same recruitment window (each patient is enrolled only once)\n* Refusal of consent for either T0 or T1","ALL","18 Years",{"count":54,"type":55},180,"ESTIMATED","OBSERVATIONAL","Patients increasingly consult artificial intelligence (AI) chatbots such as ChatGPT for health information before clinical visits, yet the impact of an actual orthopedic consultation on patient trust in AI-derived information remains unknown. This prospective longitudinal observational study quantifies how a single orthopedic outpatient consultation modifies patient trust in AI chatbots, the concordance between AI-derived and physician-delivered information, and patient anxiety, using a paired pre-post survey design supplemented by a matched physician-side assessment. Adult patients (18 years and older) presenting to two orthopedic outpatient clinics in Cyprus complete a brief pre-consultation questionnaire (T0) capturing demographics, AI use patterns, prior AI consultation regarding the current complaint, baseline trust, expectations, and anxiety. Immediately after their consultation they complete a second questionnaire (T1) assessing concordance with physician advice, trust change, consultation facilitation, post-consultation anxiety, and future intention. The consulting physician completes a brief 30-second post-visit form capturing whether AI was discussed, the medical accuracy of AI-derived information conveyed by the patient, and the effect of the AI discussion on consultation duration. The primary outcomes are the paired within-patient change in AI trust between T0 and T1 and physician-patient concordance on AI versus physician advice. Target enrollment is 180 to obtain 150 paired completed assessments.",[59,60,61,62],"Patient Health Information Seeking Behavior","Trust","Health Literacy","Orthopedics",[64,65,66,67,68,69,70,71,72,73],"ChatGPT","large language model","artificial intelligence chatbot","patient education","health information seeking","trust","physician-patient communication","orthopedics","cross-sectional","pre-post","2026-06-14",{"date":76,"type":77},"2026-06-17","ACTUAL",{"date":79,"type":55},"2026-06",{"date":81,"type":55},"2027-01",{"name":42,"class":6},2]