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

Starting soon

Conditions studied: Burnout, Sleep Disturbance, Occupational Stress, Mental Health, Nurse Retention, Fatigue

In brief

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 facts

Study ID

NCT07666633

Run by

Kaohsiung Armed Forces General Hospital

People needed

100

Starts

2026-08-01

Expected to finish

2027-04-23

Last updated by the study team

2026-06-24

Who can join

Age: 20 and older, up to 65. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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
• Willing to participate in repeated psychological assessments and non-invasive sleep monitoring
• Able to provide written informed consent

You may not qualify if…

• 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
• Inability to complete repeated sleep monitoring assessments

Where it is running

• Kaohsiung Armed Forces General Hospital — Kaohsiung City, Kaohsiung City, Taiwan

Full record on ClinicalTrials.gov

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