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Sleep Detection in Residents of Long-term Care Facilities

Sleep Detection in Older Adults Living in Long-term Care Facilities: An Inter-rater Reliability Agreement Study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07819409
Enrollment
52
Registered
2026-09-14
Start date
2025-08-28
Completion date
2027-08-01
Last updated
2026-09-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep Disturbance

Keywords

sleep detection, residents of long-term care facilities, interrater agreement

Brief summary

Sleep disorders are common among older people. People who suffer from sleep disorders typically have difficulty falling asleep, staying asleep, wake up early and do not get restful sleep. Research on sleep disorders in humans is already underway. Previous research projects in humans have shown that sleep disorders have an impact on bodily functions and quality of life. Disruptions to the sleep-wake cycle can also affect memory. Previous research projects have examined the measurement differences between polysomnography, an overnight sleep measurement in a sleep laboratory, which is currently the gold standard, and various contactless sleep sensor systems. The measurement differences are minor to moderate. However, the investigators do not yet know how large the difference is between different days when using contactless sleep sensor systems in order to determine the accuracy of such devices for residents in retirement and nursing homes. In this research project, the investigator are therefore investigating sleep variability over a period of 14 days in 52 residents of retirement and nursing homes in Switzerland in order to be able to assess the smallest detectable difference in sleep quality. The investigators are conducting this research project in accordance with Swiss law. The investigators also comply with all internationally recognized guidelines. The responsible ethics committee has reviewed and approved the research project.

Detailed description

Insomnia is a common sleep problem among older adults, with an overall prevalence reported between 30% and 50% and an even higher value among those living in nursing homes. Symptoms such as difficulty in falling asleep, difficulty in maintaining sleep, early morning awakening and non-restorative sleep not only have an important impact on the functional status and quality of life in older adults, but disturbances of the sleep-wake cycle are also known to be associated with cognitive decline. Polysomnography (PSG) is the current gold standard measuring for sleep disturbances using a collection of surface electrodes, physiologic an sleep parameters (including brain dynamics of electroencephalography (EEG)) in a sleep laboratory overnight. However, a 24-hour sleep detection based on objective measurement in older adults is of importance because excessive daytime sleepiness, and excessive napping are associated with negative health outcomes such as accelerated cognitive decline. Furthermore, Canadian 24-hours movement guidelines recommend to detect movement behavior, with sleep as a movement behavior included, over a 24-hour time span. Contactless sleep technologies (CSTs) may offer a low-burden and feasible assessment to monitoring sleep over 24-hours in older adults. To date there are several CSTs available with differences in accuracy compared to PSG. However, little is known regarding smallest detectable difference based on test-retest analysis based on intraday variability to effectively test the accuracy of such devices in older adults living in long-term care facilities. The objective of this study is to evaluate the smallest detectable difference of sleep quality based on test-retest analysis of two CSTs: (i) the Withings Sleep Analyzer and (ii) the Sleepiz One+ hardware in older adults.

Interventions

None listed

Sponsors

Eastern Switzerland University of Applied Sciences
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Total Sleep TimeFrom enrollment to 14 days afterThe time a person lying in bed actually sleeping

Countries

Switzerland

Contacts

CONTACTEling D de Bruin, Prof. Dr.
eling.debruin@ost.ch+41 58 257 14 11
CONTACTAndrea C Hausheer
andrea.hausheer@ost.ch+41 58 257 14 77
PRINCIPAL_INVESTIGATOREling D de Bruin, Prof. Dr.

Eastern Swiss University of Applied Sciences, ETH Zruich

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 18, 2026