Non-Invasive Sleep Monitoring for Burnout and Retention Risk in Postgraduate Nurses
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age20-65
SponsorKaohsiung Armed Forces General Hospital
About this trial
Newly graduated nurses often experience high levels of psychological stress, sleep disturbance, fatigue, and burnout during the early transition into clinical practice. Early identification of burnout and retention risk may help improve mental well-being, workforce stability, and quality of patient care.
This longitudinal observational study aims to develop a non-invasive sleep-based prediction platform for assessing burnout and retention risk among postgraduate nurses. Participants will undergo repeated psychological assessments and non-contact sleep monitoring during the study period. Sleep-related physiological parameters, including sleep efficiency, sleep structure, heart rate variability, and respiratory variability, will be collected together with validated psychological questionnaires.
The study will further apply machine learning and artificial intelligence approaches to integrate longitudinal physiological and psychological data for risk prediction and early identification of burnout-related conditions. The findings may support future development of precision mental health monitoring and supportive management strategies for high-stress healthcare workers.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Newly employed postgraduate nurses within the first 3 months of clinical practice
Age 20 to 65 years
Full-time clinical nursing staff
Able to read and complete Chinese questionnaires
Disqualifiers
Diagnosed severe sleep disorders
Diagnosed severe psychiatric disorders
Current use of medications that significantly affect sleep or autonomic nervous system function
Inability to comply with longitudinal follow-up procedures
Trial population
The study population consists of newly employed postgraduate nurses during the early clinical transition period at a medical center in Taiwan. Participants will be followed longitudinally to evaluate sleep-related physiological characteristics, psychological stress, burnout risk, and retention risk using repeated questionnaires and non-invasive sleep monitoring.
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Non-Invasive Sleep Monitoring
Diagnostic testParticipants will undergo non-invasive and non-contact sleep monitoring under natural sleep conditions. The monitoring system will collect sleep-related physiological signals and estimate sleep parameters, including sleep efficiency, sleep stage distribution, deep sleep proportion, REM sleep stability, heart rate variability, and respiratory variability. This procedure is used for observational data collection only and does not involve treatment or changes to clinical work schedules.
Treatment groups
100 Participants
are divided into 1 treatment groupGroup A: Postgraduate Nurses (PGNs)1 intervention
Trial outcomes
Primary outcomes
1
Copenhagen Burnout Inventory (CBI) Score
Assessment of burnout severity using the Copenhagen Burnout Inventory (CBI), a validated questionnaire for evaluating personal and work-related burnout symptoms. The CBI score ranges from 0 to 100, with higher scores indicating greater burnout severity.
Time frame
Baseline, 3 months, and 6 months2
Pittsburgh Sleep Quality Index (PSQI) Score
Assessment of sleep quality using the Pittsburgh Sleep Quality Index (PSQI), a validated questionnaire for evaluating subjective sleep quality and sleep disturbance. The PSQI global score ranges from 0 to 21, with higher scores indicating poorer sleep quality.
Time frame
Baseline, 3 months, and 6 months3
Brief Symptom Rating Scale-5 (BSRS-5) Score
Assessment of psychological distress using the Brief Symptom Rating Scale-5 (BSRS-5), a validated questionnaire for evaluating anxiety, depression, hostility, interpersonal sensitivity, and insomnia symptoms. The BSRS-5 total score ranges from 0 to 20, with higher scores indicating greater psychological distress.
Time frame
Baseline, 3 months, and 6 months4
Chinese Health Questionnaire-12 (CHQ-12) Score
Assessment of mental health status using the Chinese Health Questionnaire-12 (CHQ-12), a validated questionnaire for evaluating psychological well-being and minor psychiatric morbidity. Higher scores indicate poorer mental health status.
Time frame
Baseline, 3 months, and 6 monthsSecondary outcomes
1
Sleep Efficiency
Assessment of sleep efficiency derived from non-invasive sleep monitoring. Higher values indicate better sleep efficiency.
Time frame
Baseline, 3 months, and 6 months2
Deep Sleep Proportion
Assessment of deep sleep proportion derived from non-invasive sleep monitoring. Higher values indicate a greater proportion of deep sleep during total sleep time.
Time frame
Baseline, 3 months, and 6 months3
REM Sleep Stability
Assessment of REM sleep stability derived from non-invasive sleep monitoring.
Time frame
Baseline, 3 months, and 6 months4
Heart Rate Variability
Assessment of autonomic nervous system regulation using heart rate variability derived from non-invasive sleep monitoring.
Time frame
Baseline, 3 months, and 6 monthsSponsors and contacts
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Source ClinicalTrials.gov
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