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

NCT07666633 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-06-24

No results posted yet for this 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.

Conditions

Interventions

DIAGNOSTIC_TEST

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.

Sponsors & Collaborators

  • Kaohsiung Armed Forces General Hospital

    lead OTHER

Principal Investigators

  • Yung-Kuo Lee, PhD · Kaohsiung Armed Forces General Hospital

Eligibility

Min Age
20 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-08-01
Primary Completion
2027-04-23
Completion
2027-04-23

Countries

  • Taiwan

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07666633 on ClinicalTrials.gov