Use of a wearable remote gait monitor BioIntelliSense Biobutton among residents in a nursing home: feasibility study

Falls are a leading cause of morbidity and mortality among older adults, yet objective gait data in nursing homes are rarely available to inform clinical decision-making. We conducted a 30-day observational feasibility study using a lightweight, torso-mounted wearable sensor to continuously measure gait in 16 nursing home residents. Linear mixed-effects models evaluated hourly and daily associations among step count, gait symmetry, foot strength, time, self-reported activity status (active vs inactive), and walking status (independent vs requiring assistance). Daily step counts declined driven primarily by participants reporting low activity, while active participants demonstrated stable mobility. Walking status significantly modified longitudinal foot strength trajectories, with steeper declines among participants requiring assistance. Device acceptability was high and stable at 7 and 30 days. Continuous gait monitoring was feasible and well tolerated, supporting further evaluation in geriatric care.

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Publication Details

Journal
Geriatric Nursing
Published
2026-09-01
DOI
https://doi.org/10.1016/j.gerinurse.2026.104338
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Use of a wearable remote gait monitor BioIntelliSense Biobutton among residents in a nursing home: feasibility study

Yurun Cai, Charles J. Lin, Ashley McCue
Geriatric Nursing
Balance, Gait, and Falls Prevention
article

Use of a wearable remote gait monitor BioIntelliSense Biobutton among residents in a nursing home: feasibility study

Yurun Cai, Charles J. Lin, Ashley McCue
article en

Abstract

Falls are a leading cause of morbidity and mortality among older adults, yet objective gait data in nursing homes are rarely available to inform clinical decision-making. We conducted a 30-day observational feasibility study using a lightweight, torso-mounted wearable sensor to continuously measure gait in 16 nursing home residents. Linear mixed-effects models evaluated hourly and daily associations among step count, gait symmetry, foot strength, time, self-reported activity status (active vs inactive), and walking status (independent vs requiring assistance). Daily step counts declined driven primarily by participants reporting low activity, while active participants demonstrated stable mobility. Walking status significantly modified longitudinal foot strength trajectories, with steeper declines among participants requiring assistance. Device acceptability was high and stable at 7 and 30 days. Continuous gait monitoring was feasible and well tolerated, supporting further evaluation in geriatric care.

Geriatric NursingVol. 73
University of Pittsburgh (US), UPMC Health System (US), University of Pittsburgh Medical Center (US)
Jewish Healthcare Foundation
Good health and well-being
Openalex Percentile: Top 6%
Balance, Gait, and Falls Prevention
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