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

Sponsor
Kaohsiung Armed Forces General Hospital
Study ID
NCT07666633
Status
Not Yet Recruiting

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Conditions

  • Burnout
  • Fatigue
  • Mental Health
  • Nurse Retention
  • Occupational Stress
  • Sleep Disturbance

Eligibility Criteria

Sex
ALL
Age
20 Years - 65 Years
Healthy Volunteers
Accepted

Interventions

  • Non-Invasive Sleep Monitoring — DIAGNOSTIC_TEST
    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 Details

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.

Key Dates

First listed
Jun 24, 2026
Start date
Aug 1, 2026
Status verified
May 2026
Primary completion
Apr 23, 2027
Completion
Apr 23, 2027

Study Design

Enrollment
100 participants (estimated)

Arms

  • Arm: Postgraduate Nurses (PGNs)
    Newly employed postgraduate nurses within the first three months of clinical practice will be enrolled and followed longitudinally. Participants will complete repeated psychological assessments and undergo non-invasive sleep monitoring during the study period. Sleep-related physiological parameters, including sleep efficiency, sleep structure, heart rate variability, and respiratory variability, will be analyzed to evaluate burnout risk, psychological stress, fatigue, and retention risk during the early clinical transition period.

Primary Outcome Measure

Copenhagen Burnout Inventory (CBI) Score [ Time Frame: Baseline, 3 months, and 6 months ]

Central Contacts

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