[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100622212":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":25,"centralContacts":29,"locations":25,"responsibleParty":39,"collaborators":25,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":47,"eligibilityCriteria":48,"healthyVolunteers":49,"sex":50,"minAge":51,"maxAge":52,"enrollmentInfo":53,"targetDuration":25,"studyType":56,"phases":57,"briefSummary":59,"conditions":60,"keywords":65,"overallStatus":75,"whyStopped":25,"lastUpdateSubmitDate":76,"lastUpdatePostDateStruct":77,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":25},{"fullName":5,"class":6},"Taipei Medical University Shuang Ho Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Interactive LINE GPT Emotional Support","EXPERIMENTAL","Arm Description: Participants in this arm receive daily interactive emotional support messages delivered through a LINE-based GPT assistant. They may engage in two-way conversations with the AI assistant to discuss work-related stress, emotions, and coping strategies. The interactive AI support is available throughout the 4-week intervention period.",[13],"Behavioral: Interactive LINE GPT Emotional Support",{"label":15,"type":16,"description":17,"interventionNames":18},"Static Supportive Messages","ACTIVE_COMPARATOR","Participants in this arm receive daily static supportive messages delivered via LINE, matched in theme to the intervention group but without any interactive or AI-generated components. These messages provide general emotional support without enabling conversation or personalized responses. Participants receive the static messages for the full 4-week intervention period.",[19],"Behavioral: Static Supportive Messages",[21,26],{"type":22,"name":9,"description":23,"armGroupLabels":24,"otherNames":25},"BEHAVIORAL","Participants receive daily interactive emotional support messages delivered through a LINE-based GPT assistant. The AI system provides two-way conversations, reflective prompts, and coping suggestions related to work stress and emotional well-being. The intervention is available on demand throughout the 4-week study period.",[9],null,{"type":22,"name":15,"description":27,"armGroupLabels":28,"otherNames":25},"Participants receive daily non-interactive supportive messages via LINE. Message themes match those in the intervention arm (e.g., stress awareness, emotional well-being) but contain no AI-generated responses or interactive components. Participants receive one static message per day for 4 weeks.",[15],[30,35],{"name":31,"role":32,"phone":33,"phoneExt":25,"email":34},"Yiting Huang, RN, Master","CONTACT","+886-2-2249-0088","16278@s.tmu.edu.tw",{"name":36,"role":32,"phone":25,"phoneExt":37,"email":38},"Chen-Chih Chung, Co-Investigator, MD","+886-2-2249-00","10670@s.tmu.edu.tw",{"type":40,"investigatorFullName":25,"investigatorTitle":25,"investigatorAffiliation":25,"oldNameTitle":25,"oldOrganization":25},"SPONSOR","100622212","on-demand-ai-support-via-line-based-gpt-assistant-to-improve-emotional-resilience-and-reduce-burnout-among-clinical-nurses-100622212",false,"NCT07380685","On-Demand AI Support Via LINE-Based GPT Assistant to Improve Emotional Resilience and Reduce Burnout Among Clinical Nurses","A Human-Centered, On-Demand AI Emotional Support Intervention Using a LINE-Based GPT Assistant to Enhance Resilience, Reduce Compassion Fatigue, and Improve Occupational Well-Being Among Clinical Nurses: A Prospective Interventional Study","Nurse-AI-CARE","Inclusion Criteria:\n\n1. Adults aged 20 to 65 years.\n2. Currently employed as clinical nursing staff in the participating institution, including inpatient wards or intensive care units.\n3. Able to read Traditional Chinese and receive daily messages via LINE or Email.\n4. Willing to participate and able to provide written informed consent.\n5. Expected to remain employed in the clinical unit for the full 4-week study period (not planning resignation or extended leave).\n\nExclusion Criteria:\n\n1. Refusal or inability to provide informed consent.\n2. Unable to receive daily messages through LINE or Email (e.g., no smartphone or internet access).\n3. Currently undergoing psychiatric treatment or in the acute phase of major physical\u002Fmental illness, where participation may interfere with clinical care.\n4. Cognitive or communication impairments that prevent understanding of study material or completion of questionnaires.",true,"ALL","20 Years","65 Years",{"count":54,"type":55},120,"ESTIMATED","INTERVENTIONAL",[58],"NA","Clinical nurses are frequently exposed to high emotional demands due to heavy workloads, time pressure, patient suffering, and the interpersonal complexity of clinical care. These stressors may contribute to compassion fatigue, burnout, reduced resilience, and decreased occupational well-being. However, timely and accessible psychological support is often limited in busy clinical environments, and many nurses may hesitate to seek help due to stigma, time constraints, or limited resources.\n\nThis study is a prospective, randomized, controlled, parallel-group interventional trial designed to evaluate the feasibility and effectiveness of an on-demand, human-centered emotional support intervention delivered through a LINE-based GPT assistant. The AI assistant provides real-time supportive conversations, reflective prompts, stress-coping guidance, and resilience-enhancing strategies tailored specifically for clinical nurses, offering a private and easily accessible support resource.\n\nEligible clinical nurses (target sample size: 100-120) are randomly assigned to either an Intervention Group, which interacts with the AI assistant, or a Control Group, which receives non-interactive static messages, over a four-week intervention period. Primary outcomes include changes in compassion fatigue, burnout, and compassion satisfaction, as measured by the Professional Quality of Life Scale (ProQOL). Secondary outcomes include changes in resilience (Brief Resilience Scale), general self-efficacy (General Self-Efficacy Scale), and perceived stress (Perceived Stress Scale-10).\n\nThe results of this study are expected to provide evidence on the feasibility and potential effectiveness of AI-based emotional support as a scalable and accessible tool to promote psychological well-being among clinical nurses, thereby informing future digital mental health interventions in healthcare settings.",[61,62,63,64],"Occupational Stress and Mental Health in Clinical Nurses","Burnout","Compassion Fatigue","Psychological Resilience",[66,67,68,69,70,71,63,72,73,74],"AI-based supportive intervention","ChatGPT","LINE platform","Clinical Nursing","Emotional Resilience","Occupational Burnout","Digital Mental Health","Self-Efficacy","Perceived Stress","NOT_YET_RECRUITING","2026-03-09",{"date":78,"type":79},"2026-03-11","ACTUAL",{"date":81,"type":55},"2026-05-01",{"date":83,"type":55},"2026-09-25",{"name":5,"class":6}]