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While guidelines aim to identify those at risk of poor outcomes [4], existing fall risk screening tools using data at the time of the ED encounter have limited ability to predict which patients will fall [2].
One way to improve the identification of older adults at risk for falls is to incorporate remote patient monitoring (RPM) of mobility into postdischarge care. Mobility, which includes gait and balance functions, requires the integration of sensory input, motor planning, and coordination.
JMIR Aging 2024;7:e57601
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Another main finding was that, although the informants were at risk of falls and had been referred to a geriatric outpatient clinic for the assessment and management of their fall risk, they possessed limited focus on, and knowledge about, nutritional needs to promote or maintain good physical function and thereby decrease their risk of falling.
JMIR Hum Factors 2024;11:e52575
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Gait analysis is useful for predicting future fall risk and reflecting various underlying physiological processes [1]. Quantitative gait characteristics, such as slower gait speed and shorter stride length, are associated with falls, resulting in fragility fractures [2-4]. Recently, inertial measurement units (IMUs) have been widely used to assess gait under free-living conditions owing to their convenience, low cost, small size, and high accuracy [5-7].
JMIR Mhealth Uhealth 2024;12:e55178
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A score of ≤30 signifies normal balance, while a score of ≥31 indicates poor balance and a moderate to high fall risk [41]. For each trial, participants were instructed to place their hands on their hips, close their eyes, and maintain a static position on the BTrack S Balance Plate for 20 seconds. Participants first underwent a familiarization trial that did not count toward their average score, followed by 3 trials that were averaged into their final score.
JMIR Aging 2024;7:e53975
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Design and Implementation of an Inpatient Fall Risk Management Information System
The hospital’s fall risk management problems were summarized by interviewing fall-related stakeholders, observing fall prevention workflow and postfall care process, and investigating patients' satisfaction; these included (1) nonachievement of real-time fall risk assessment, real-time uploading, and information sharing; (2) absence of fall risk warning management; (3) complicated fall risk management workflow; (4) absence of process control in fall prevention (such as process control for different fall risk
JMIR Med Inform 2024;12:e46501
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The integration of gait monitoring into consumer-grade devices would enable the monitoring of fall risk on a large scale, which could lead to a substantial improvement in fall risk identification and subsequent prevention. However, up until now, ambulatory gait monitoring of fall risk parameters has been limited to a dedicated inertial sensor and a fixed body placement, usually on the trunk or feet. Switching to consumer-grade device monitoring presents several challenges.
JMIR Aging 2023;6:e49587
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Analyses of fall risk factors suggest that we do not fully understand their complex interplay and factors triggering fall events. Meta-analyses identified about 30 fall risk factors for falls in community-dwelling older adults [10]. These include fall history, balance, and gait problems. The published fall risk models are unsatisfying considering the externally validated predictive accuracy.
JMIR Res Protoc 2023;12:e46930
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For people with Parkinson disease experiencing falls, it could therefore be useful to consider that turning while using a smartphone constitutes a particular fall risk, and then to work out whether the risk is influenced more by the motor component, the cognitive component or by a combination of both.
Participants with lower-back pain were the only group that did not show any significant difference in head peak angular velocity when using a smartphone, compared with ST.
J Med Internet Res 2023;25:e41082
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The Next Frontier of Remote Patient Monitoring: Hospital at Home
With RPM, Ha H care could be provided for more patients with moderate-acuity medical and postsurgical conditions requiring frequent vital sign checks, continuous single-lead ECG, or fall monitoring, while expanding access in less population-dense communities [8].
Based on the Ha H experience to date with often lower-acuity patients, CMS reimbursement policy requires 2 in-person evaluations per day by a nurse or paramedic during which patients’ vital signs are obtained.
J Med Internet Res 2023;25:e42335
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