Occupational Stress and Mental Health in Clinical NursesNurse-AI-CARENCT07380685
On-Demand AI Support Via LINE-Based GPT Assistant to Improve Emotional Resilience and Reduce Burnout Among Clinical Nurses
A study testing Interactive LINE GPT Emotional Support and Static Supportive Messages in people with Occupational Stress and Mental Health in Clinical Nurses and Burnout, run by Taipei Medical University Shuang Ho Hospital.
Trial 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. Read more about this study
- Who is it for?
- Ages 20 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Occupational Stress and Mental Health in Clinical Nurses, Burnout, Compassion Fatigue
- What is being tested?
- Interactive LINE GPT Emotional Support and Static Supportive Messages
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 120 participants
- Where
- No sites listed yet
- Study dates
- 1 May 2026to 25 Sep 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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).
Who cannot join
- 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.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
Chen-Chih Chung, Co-Investigator, MD contact
About this study
Official title: 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
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.
Read more
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.
Read the detailed description
- Study Design and Randomization MechanismThis study utilizes a Pre-Post Parallel Intervention Design. To enhance internal validity, minimize selection bias, and account for unit-level characteristics, a Stratified Cluster Randomization approach is employed. Clinical units are stratified into three tiers based on assessed work intensity: High Intensity (e.g., ICUs and ED), Medium Intensity (e.g., medical and surgical wards), and Low Intensity (e.g., psychiatric and rehabilitation wards). Within each stratum, the nursing unit or ward serves as the cluster. Clusters are then randomly assigned (1:1 ratio) to either the Intervention Group or the Control Group, ensuring that all nurses within a single unit belong to the same study arm. The planned total sample size is N=120, distributed across approximately 18 clusters.2. Intervention Protocol (4-Week Period)The intervention period spans four weeks (28 days). The core tool is a customized GPT dialogue model integrated with the LINE Official Account (LINE OA) platform, widely used by the target population.Intervention Group (Interactive AI Support)Participants receive a two-part daily intervention: a daily push message and access to a two-way AI interaction. They are encouraged to actively engage in free-form psychological support dialogue with the LINE GPT assistant. The AI's response logic is rigorously defined via Prompt Engineering to focus on clinical work stress, emotional coping, and resilience-promoting strategies. Crucially, the AI is programmed with ethical guardrails to gently redirect users back to the clinical stress axis if they deviate to non-work related or sensitive topics, and strictly prohibit the provision of any medical, diagnostic, or therapeutic advice.Control Group (Static Message Control)Participants in the control group receive daily static text messages. The content themes are identical to the push messages received by the intervention group, but the channel lacks any interactive AI response capability.3. Study Procedures and Data Collection TimelineThe entire study spans a minimum of six weeks, structured into three distinct phases.The process begins in Weeks 1-2 with recruitment and baseline assessment. Following informed consent, participants are oriented to the study platform (LINE OA) and complete the Pre-Test Questionnaire. This baseline assessment, which takes approximately 25-30 minutes, captures all demographic/occupational variables and the initial scores for all primary and secondary outcome scales (ProQOL, GSE, PSS-10, BRS).Immediately following baseline assessment, the 4-week intervention period commences, spanning from approximately Week 3 through Week 6. Throughout this period, both the intervention and control groups receive their respective daily messages. To track subjective engagement and experience, all participants are required to complete a brief "AI Use Feedback Simple Form" weekly, which takes approximately 5 minutes.Upon completion of the four weeks, the study enters the Post-Test phase at the end of Week 6. All participants complete the same battery of outcome scales (re-measurement of ProQOL, GSE, PSS-10, BRS) and the AI Use Satisfaction Questionnaire. The Intervention Group is additionally requested to complete an Open-ended Feedback Questionnaire to provide rich qualitative data on their experience with the GPT assistant.4. Statistical Analysis PlanData will be anonymized using unique study IDs prior to analysis. Due to the stratified cluster randomization, the analysis will employ methods suitable for clustered data structures to account for Intracluster Correlation (ICC). The Primary Analysis will utilize Generalized Estimating Equations (GEE) to model the change in outcomes over time, specifically testing the "Time $\times$ Group" interaction to assess the intervention effect. The nursing unit/ward will be specified as the cluster variable in the GEE model. Linear Mixed-Effects Models (LMM) may be used for supplementary or sensitivity analysis. Covariates such as nursing tenure and baseline stress levels will be included in the models for adjustment and exploratory analysis. Qualitative data from the open-ended feedback will be analyzed using Content Analysis to categorize emerging themes.
- Conditions
- Occupational Stress and Mental Health in Clinical Nurses, Burnout, Compassion Fatigue, Psychological Resilience
- Being tested
- Interactive LINE GPT Emotional Support, Static Supportive Messages
- Keywords
- AI-based supportive intervention, ChatGPT, LINE platform, Clinical Nursing, Emotional Resilience, Occupational Burnout, Compassion Fatigue, Digital Mental Health, Self-Efficacy, Perceived Stress
- Medical subject headings
- Occupational Stress, Burnout, Psychological, Compassion Fatigue, Burnout, Professional
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Interactive LINE GPT Emotional SupportBehavioural
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.
Static Supportive MessagesBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Behavioral: Interactive LINE GPT Emotional Support |
| 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. Receives: Behavioral: Static Supportive Messages |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: Baseline and Week 4
Secondary outcomes (3)
Change in Resilience (Brief Resilience Scale, BRS)
Resilience will be measured using the Brief Resilience Scale (BRS), a 6-item self-report scale assessing the ability to recover from stress.
Total scores range from 1 to 5, calculated as the mean of item responses.
Higher scores indicate greater resilience and better outcomes.
BRS scores will be collected at baseline and at Week 4 to assess changes in resilience between the intervention and control groups.
Measured: Baseline and Week 4
Change in General Self-Efficacy (GSE)
General self-efficacy will be assessed using the General Self-Efficacy Scale (GSE), a 10-item self-report measure evaluating perceived ability to cope with challenging situations.
Total scores range from 10 to 40.
Higher scores indicate greater self-efficacy and better outcomes.
Scores will be measured at baseline and at Week 4 to determine the effect of the AI emotional support intervention on self-efficacy.
Measured: Baseline and Week 4
Change in Perceived Stress (PSS-10)
Perceived stress will be evaluated using the 10-item Perceived Stress Scale (PSS-10), which measures the degree to which situations in life are appraised as stressful.
Total scores range from 0 to 40.
Higher scores indicate higher perceived stress and worse outcomes.
PSS-10 scores will be collected at baseline and at Week 4 to compare changes in perceived stress between study groups.
Measured: Baseline and Week 4
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Feb 2026
- Study start1 May 2026 (estimated)
- Primary completion28 Jun 2026 (estimated)
- Study completion25 Sep 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Occupational Stress and Mental Health in Clinical NursesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- This is a randomized, controlled, parallel-group study utilizing stratified cluster randomization. Clinical nursing units (e.g., MICU, General Ward) serve as the clusters and are stratified by work intensity (High, Medium, Low). Within each stratum, clusters are randomly assigned (1:1 ratio) to either the Intervention Group (receiving interactive LINE GPT support) or the Control Group (receiving static messages). Participants remain in their assigned arm for the entire 4-week intervention period.
- Masking
- None (open label)
- Enrolment
- 120 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Taipei Medical University Shuang Ho Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07380685
- Sponsor's protocol ID
- SHH-AI-CARE-2026
- Other IDs
- 114HCP-13
- Acronym
- Nurse-AI-CARE
- Status last verified
- Sep 2025
- First submitted
- 8 Dec 2025
- Last updated
- 11 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
Study at a glance
From the registry record, last updated by the sponsor on 11 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT07380685
- Acronym / sponsor ID
- Nurse-AI-CARE / SHH-AI-CARE-2026
- Conditions
- Occupational Stress and Mental Health in Clinical Nurses, Burnout, Compassion Fatigue, Psychological Resilience
- Keywords
- AI-based supportive intervention, ChatGPT, LINE platform, Clinical Nursing, Emotional Resilience, Occupational Burnout, Compassion Fatigue, Digital Mental Health
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 120 participants (estimated)
- Lead sponsor
- Taipei Medical University Shuang Ho HospitalUniversity, hospital or other
- Study start
- 1 May 2026 (estimated)
- Primary completion
- 28 Jun 2026 (estimated)
- Study completion
- 25 Sep 2026 (estimated)
- First posted
- 2 Feb 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
- Study Design and Randomization MechanismThis study utilizes a Pre-Post Parallel Intervention Design. To enhance internal validity, minimize selection bias, and account for unit-level characteristics, a Stratified Cluster Randomization approach is employed. Clinical units are stratified into three tiers based on assessed work intensity: High Intensity (e.g., ICUs and ED), Medium Intensity (e.g., medical and surgical wards), and Low Intensity (e.g., psychiatric and rehabilitation wards). Within each stratum, the nursing unit or ward serves as the cluster. Clusters are then randomly assigned (1:1 ratio) to either the Intervention Group or the Control Group, ensuring that all nurses within a single unit belong to the same study arm. The planned total sample size is N=120, distributed across approximately 18 clusters.2. Intervention Protocol (4-Week Period)The intervention period spans four weeks (28 days). The core tool is a customized GPT dialogue model integrated with the LINE Official Account (LINE OA) platform, widely used by the target population.Intervention Group (Interactive AI Support)Participants receive a two-part daily intervention: a daily push message and access to a two-way AI interaction. They are encouraged to actively engage in free-form psychological support dialogue with the LINE GPT assistant. The AI's response logic is rigorously defined via Prompt Engineering to focus on clinical work stress, emotional coping, and resilience-promoting strategies. Crucially, the AI is programmed with ethical guardrails to gently redirect users back to the clinical stress axis if they deviate to non-work related or sensitive topics, and strictly prohibit the provision of any medical, diagnostic, or therapeutic advice.Control Group (Static Message Control)Participants in the control group receive daily static text messages. The content themes are identical to the push messages received by the intervention group, but the channel lacks any interactive AI response capability.3. Study Procedures and Data Collection TimelineThe entire study spans a minimum of six weeks, structured into three distinct phases.The process begins in Weeks 1-2 with recruitment and baseline assessment. Following informed consent, participants are oriented to the study platform (LINE OA) and complete the Pre-Test Questionnaire. This baseline assessment, which takes approximately 25-30 minutes, captures all demographic/occupational variables and the initial scores for all primary and secondary outcome scales (ProQOL, GSE, PSS-10, BRS).Immediately following baseline assessment, the 4-week intervention period commences, spanning from approximately Week 3 through Week 6. Throughout this period, both the intervention and control groups receive their respective daily messages. To track subjective engagement and experience, all participants are required to complete a brief "AI Use Feedback Simple Form" weekly, which takes approximately 5 minutes.Upon completion of the four weeks, the study enters the Post-Test phase at the end of Week 6. All participants complete the same battery of outcome scales (re-measurement of ProQOL, GSE, PSS-10, BRS) and the AI Use Satisfaction Questionnaire. The Intervention Group is additionally requested to complete an Open-ended Feedback Questionnaire to provide rich qualitative data on their experience with the GPT assistant.4. Statistical Analysis PlanData will be anonymized using unique study IDs prior to analysis. Due to the stratified cluster randomization, the analysis will employ methods suitable for clustered data structures to account for Intracluster Correlation (ICC). The Primary Analysis will utilize Generalized Estimating Equations (GEE) to model the change in outcomes over time, specifically testing the "Time $\times$ Group" interaction to assess the intervention effect. The nursing unit/ward will be specified as the cluster variable in the GEE model. Linear Mixed-Effects Models (LMM) may be used for supplementary or sensitivity analysis. Covariates such as nursing tenure and baseline stress levels will be included in the models for adjustment and exploratory analysis. Qualitative data from the open-ended feedback will be analyzed using Content Analysis to categorize emerging themes.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- This is a randomized, controlled, parallel-group study utilizing stratified cluster randomization. Clinical nursing units (e.g., MICU, General Ward) serve as the clusters and are stratified by work intensity (High, Medium, Low). Within each stratum, clusters are randomly assigned (1:1 ratio) to either the Intervention Group (receiving interactive LINE GPT support) or the Control Group (receiving static messages). Participants remain in their assigned arm for the entire 4-week intervention period.
| Arm | Type | Receives |
|---|---|---|
| Interactive LINE GPT Emotional Support | Experimental | Behavioral: Interactive LINE GPT Emotional SupportArm 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 comparator | Behavioral: Static Supportive MessagesParticipants 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. |
Who may qualify
- Ages
- 20 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- 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).
Key exclusion criteria (4 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Interactive LINE GPT Emotional SupportParticipants 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. | Behavioural | Interactive LINE GPT Emotional Support |
| Static Supportive MessagesParticipants 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. | Behavioural | Static Supportive Messages |
Primary outcome
Change in Compassion Fatigue, Burnout, and Compassion Satisfaction (ProQOL)
Time frame: Baseline and Week 4
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.
3 secondary outcomes
Change in Resilience (Brief Resilience Scale, BRS)
Time frame: Baseline and Week 4
Change in General Self-Efficacy (GSE)
Time frame: Baseline and Week 4
Change in Perceived Stress (PSS-10)
Time frame: Baseline and Week 4
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Mar 2026.
- Individual participant dataSharing planned: No. 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Chen-Chih Chung, Co-Investigator, MD contact
Questions about this trial
What is this clinical trial studying?
A study testing Interactive LINE GPT Emotional Support and Static Supportive Messages in people with Occupational Stress and Mental Health in Clinical Nurses and Burnout, run by Taipei Medical University Shuang Ho Hospital.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 11 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Yiting Huang, RN, Master (+886-2-2249-0088, 16278@s.tmu.edu.tw), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Compassion Fatigue, Burnout, and Compassion Satisfaction (ProQOL) (time frame: Baseline and Week 4). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Mar 2026.