Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home

Abstract

Background: Lower quantity and poorer sleep quality are common in most older adults, especially for those who live in a nursing home. The use of wearable devices, which measure some parameters such as the sleep stages, could help to determine the influence of sleep quality in daily activity among nursing home residents. Therefore, this study aims to analyse the influence of sleep and its changes concerning the health status and daily activity of older people who lived in a nursing home, by monitoring the participants for a year with Xiaomi Mi Band 2. Methods: This is a longitudinal study set in a nursing home in [Details omitted for double-anonymized peer reviewed]. The Xiaomi Mi Band 2 will be used to measure biomedical parameters and different assessment tools will be administered to participants for evaluating their quality of life, sleep quality, cognitive state, and daily functioning. Results: A total of 21 nursing home residents participated in the study, with a mean age of 86.38 ± 9.26. The main outcomes were that sleep may influence daily activity, cognitive state, quality of life, and level of dependence in activities of daily life. Moreover, environmental factors and the passage of time could also impact sleep. Conclusions: Xiaomi Mi Band 2 could be an objective tool to assess the sleep of older adults and know its impact on some factors related to health status and quality of life of older nursing homes residents. Trial Registration: NCT04592796 (Registered 16 October 2020) Available on: https://clinicaltrials.gov/ct2/show/NCT04592796.

Use of Sensors for Fall Prediction in Older Persons

“…The goal of their study was to examine the relationship between daily activity measured by the device and the risk of falling of older persons residing in a nursing home or attending an adult day care program. Development of the wristband is not articulated in the literature, although there are articles about its use in validation of sleep quality 29 and influence on daily life of older persons in nursing homes 30 . In this study, the wristband was used to measure daily activity (number of daily steps and distance covered) and sleep (daily deep sleep, daily shallow sleep, total daily sleep, and awake time in bed at night).…”

“…Development of the wristband is not articulated in the literature, although there are articles about its use in validation of sleep quality 29 and influence on daily life of older persons in nursing homes. 30 In this study, the wristband was used to measure daily activity (number of daily steps and distance covered) and sleep (daily deep sleep, daily shallow sleep, total daily sleep, and awake time in bed at night). This was a cross-sectional study conducted in three facilities located in Spain (n = 31).…”

Wearable technology use in long-term care facilities for older adults: a scoping review protocol

“…This review will seek to identify the available literature on the use of WT in LTCFs for older adults, including type of device design, body placement, functions, data gathered, and the range of health conditions or diseases associated with WT usage. Studies, policies, or opinion papers will be included if they pertain to wearable devices that perform activity or movement tracking, location monitoring, vital signs monitoring, sleep assessment, or other functions specifically used to improve the care provided in LTCF settings 14–17 . This review will also seek to understand whether aspects related to acceptability of WT by older adults have been considered in LTCF settings 17–19 .…”

“…WT is playing an increasing role in caring for older adults living in LTCFs by monitoring frailty and age-related issues in the aged population 14–17 . WT can help assess the level of frailty, provide real-time monitoring of vital signs or sleep patterns and allow staff to quickly respond to changes in older residents’ conditions 14 .…”

“…[14][15][16][17] WT can help assess the level of frailty, provide real-time monitoring of vital signs or sleep patterns and allow staff to quickly respond to changes in older residents' conditions. 14 Moreover, WT can reduce staff workload by automating some tasks, such as recording vital signs, thereby letting the staff focus on other fundamental aspect of caring. WT can enhance older adults' safety, tracking their movements and sending alerts if they wander or leave the facility, reducing the risk of falls, or mitigating other negative outcomes.…”