Non-Invasive Sleep Monitoring for Burnout and Retention Risk in Postgraduate Nurses

Condition(s) studied

Investigational drug(s) / intervention(s)

Non-Invasive Sleep Monitoring: Participants 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.

Study summary

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

Primary outcome measure(s)

• Copenhagen Burnout Inventory (CBI) Score — Baseline, 3 months, and 6 months
  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.
• Pittsburgh Sleep Quality Index (PSQI) Score — Baseline, 3 months, and 6 months
  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.
• Brief Symptom Rating Scale-5 (BSRS-5) Score — Baseline, 3 months, and 6 months
  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.
• Chinese Health Questionnaire-12 (CHQ-12) Score — Baseline, 3 months, and 6 months
  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.
• Karolinska Sleepiness Scale (KSS) Score — Baseline, 3 months, and 6 months
  Assessment of subjective sleepiness using the Karolinska Sleepiness Scale (KSS). The KSS score ranges from 1 to 9, with higher scores indicating greater subjective sleepiness.

Trial sites (1)

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