[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"patient-health-information-seeking-behavior\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:patient-health-information-seeking-behavior":52},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":10,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":28,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":51},"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":19,"type":20},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.",[24,25,26,27],"Patient Health Information Seeking Behavior","Trust","Health Literacy","Orthopedics",[29,30,31,32,33,34,35,36,37,38],"ChatGPT","large language model","artificial intelligence chatbot","patient education","health information seeking","trust","physician-patient communication","orthopedics","cross-sectional","pre-post","RECRUITING","2026-06-14",{"date":42,"type":43},"2026-06-17","ACTUAL",{"date":45,"type":20},"2026-06",{"date":47,"type":20},"2027-01",{"name":49,"class":50},"Utku Gürhan","OTHER",2,""]