Sleep detection in long-term care residents
Official title: Sleep Detection in Older Adults Living in Long-term Care Facilities: An Inter-rater Reliability Agreement Study
Run by Eastern Switzerland University of Applied Sciences · NCT07819409 · Data updated 2026-11-12
This study tests how well contactless sleep sensors track sleep patterns in older adults living in long-term care facilities.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 52 (estimated) |
| Sponsor | Eastern Switzerland University of Applied Sciences Academic / other |
| Locations | 1 site (Sankt Gallen, St.Gallen) |
| Status | Recruiting |
| Started | August 28, 2025 |
| Main results expected | February 2027 |
| Study ends | August 2027 |
| Registry record updated | September 17, 2026 |
| Trial ID | NCT07819409 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Older adults living in long-term care facilities who can give informed consent.
✕Probably not a fit
Residents with certain neurocognitive disorders or specific dementia subtypes may not benefit from the findings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study compares 24-hour sleep measurements from contactless sleep sensors with traditional methods in residents of long-term care facilities. It aims to understand day-to-day variability and how accurately CSTs reflect sleep, wake times, and restfulness in older adults. The project explores how sleep measurement differences relate to cognitive and functional outcomes, using a real-world long-term care setting. It focuses on test-retest variability to determine smallest detectable differences for intraday changes. The findings could inform feasible, low-burden sleep monitoring in this population.
Why it matters
Potential benefit: If successful, CSTs could provide a practical way to monitor sleep over 24 hours in older adults without overnight lab visits.
How similar studies have gone: Previous work shows CSTs can approximate PSG but variability across days and devices remains a concern; this study adds real-world data in nursing home settings.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Signed informed consent * Older adults living in the long-term care facilities Exclusion Criteria: * Neurocognitive disorders based on Alzheimer's Disease, Parkinson's disease, Lewy body dementia or Mixed dementia according to patient record
Where it's running
-
Easternswiss University of Applied Sciences
Sankt Gallen, St.Gallen, Switzerland Recruiting
Study contacts
- Principal investigator: Eling D de Bruin, Prof. Dr. — Eastern Swiss University of Applied Sciences, ETH Zruich
- Study coordinator: Eling D de Bruin, Prof. Dr.
- Email: eling.debruin@ost.ch
- Phone: +41 58 257 14 11
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.