On-Demand AI Support Via LINE-Based GPT Assistant to Improve Emotional Resilience and Reduce Burnout Among Clinical Nurses
Nurse-AI-CARE
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
2 other identifiers
interventional
120
0 countries
N/A
Brief Summary
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. This 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. Eligible 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). The 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started May 2026
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 8, 2025
CompletedFirst Posted
Study publicly available on registry
February 2, 2026
CompletedStudy Start
First participant enrolled
May 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 28, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 25, 2026
March 11, 2026
September 1, 2025
2 months
December 8, 2025
March 9, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Compassion Fatigue, Burnout, and Compassion Satisfaction (ProQOL)
Compassion fatigue, burnout, and compassion satisfaction will be assessed using the Professional Quality of Life Scale (ProQOL), a validated self-report instrument consisting of three subscales: Compassion Fatigue, Burnout, and Compassion Satisfaction. Each subscale score ranges from 10 to 50. Higher scores on the Compassion Fatigue and Burnout subscales indicate worse outcomes. Higher scores on the Compassion Satisfaction subscale indicate better outcomes. Scores will be collected at baseline and at the end of the 4-week intervention period to evaluate changes associated with the AI emotional support intervention compared with the control condition.
Baseline and Week 4
Secondary Outcomes (3)
Change in Resilience (Brief Resilience Scale, BRS)
Baseline and Week 4
Change in General Self-Efficacy (GSE)
Baseline and Week 4
Change in Perceived Stress (PSS-10)
Baseline and Week 4
Other Outcomes (1)
AI Engagement Metrics (Message Frequency and Interaction Patterns)
Throughout the 4-week intervention period
Study Arms (2)
Interactive LINE GPT Emotional Support
EXPERIMENTALArm 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.
Static Supportive Messages
ACTIVE COMPARATORParticipants 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.
Interventions
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.
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.
Eligibility Criteria
You may qualify if:
- Adults aged 20 to 65 years.
- Currently employed as clinical nursing staff in the participating institution, including inpatient wards or intensive care units.
- Able to read Traditional Chinese and receive daily messages via LINE or Email.
- Willing to participate and able to provide written informed consent.
- Expected to remain employed in the clinical unit for the full 4-week study period (not planning resignation or extended leave).
You may not qualify if:
- Refusal or inability to provide informed consent.
- Unable to receive daily messages through LINE or Email (e.g., no smartphone or internet access).
- Currently undergoing psychiatric treatment or in the acute phase of major physical/mental illness, where participation may interfere with clinical care.
- Cognitive or communication impairments that prevent understanding of study material or completion of questionnaires.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Masking Details
- No masking was implemented. This is a cluster-randomized, parallel-group behavioral intervention in which both participants and investigators are aware of whether they receive interactive AI emotional support messages or static non-interactive messages. Outcomes are assessed using self-administered questionnaires.
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 8, 2025
First Posted
February 2, 2026
Study Start
May 1, 2026
Primary Completion (Estimated)
June 28, 2026
Study Completion (Estimated)
September 25, 2026
Last Updated
March 11, 2026
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared because the study involves sensitive information from clinical nursing staff, including psychological measures and message-based interactions, which cannot be fully de-identified without risk of re-identification. The approved IRB protocol does not include provisions for external data sharing.