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Skip search results from other journals and go to results- 12 JMIR Aging
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The early identification of individuals at risk for falls and cognitive decline is critical to enable appropriate intervention, which may take the form of home modifications, medication changes, or other adjustments, and to improve long-term outcomes. While many PD-specific and nonspecific risk factors for falls have been identified, the single best predictor for falls remains a prior history of falls, and new, more accurate models for fall prediction are needed [9-11].
JMIR Res Protoc 2025;14:e71955
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Falls are a common and serious problem after stroke. In the first year following a stroke, approximately 70% of individuals fall [1-3], and the risk of falls remains substantially elevated throughout the stroke survivor’s lifespan [2]. The physical consequences of falls can be devastating, often leading to hospitalizations, serious injuries, and even death [4].
JMIR Form Res 2025;9:e67297
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Approximately 1 in 10 falls in older adults results in serious injury, such as hip fracture or traumatic brain injury, and the annual cost of falls in the United States is more than US $50 billion [4-6]. Globally, falls are the 13th leading cause of death, and the prevalence of falls is increasing as the population gets older [7].
JMIR Aging 2025;8:e68771
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The impact of falls and balance disorders extends beyond individual health, affecting families, communities, and health care systems. Individuals who experience falls often face prolonged recovery periods, reduced independence, and heightened fear of falling again, which can lead to social isolation and decreased physical activity [1,2,5,6].
JMIR Rehabil Assist Technol 2025;12:e69589
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Falls are a significant health issue because they lead to severe injuries, hospitalizations, and death [1,2]. They also lead to serious physical and psychological restrictions after the fall, with a decline in social activities and a reduced quality of life [3]. Repeated falls often occur after a first fall [4]. Given that fall history is the strongest predictor of future falls [5], gait training programs must also be offered to healthy older adults with no fall history.
JMIR Res Protoc 2025;14:e57866
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Domain knowledge was obtained from the aged care provider through discussions and analysis of data related to falls incidents and the Peninsula Health Falls Risk Assessment Tool (PH-FRAT) risk assessments (ie, to determine the current falls rate across facilities, the characteristics of falls incidents and contributing factors listed in falls incidents).
JMIR Aging 2025;8:e63609
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We simulated the data to represent EHR data that may be used to develop models for falls in older adults. Predictors of falls were simulated based on previous research [37] and represent a combination of fixed, patient-level variables and visit-level variables that are collected repeatedly. The fixed variables included sex and comorbidities (diabetes, dementia, hypertension, and urinary incontinence), all of which may be related to falls in older adults.
JMIR Med Inform 2025;13:e64354
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Educating patients about the risks of falls and strategies to mitigate these risks is crucial in reducing the incidence of falls in hospitalized patients. To effectively conduct patient education, it is imperative to construct a fall prediction model for the accurate identification of these high-risk patients.
JMIR Hum Factors 2025;12:e58073
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This study was designed to demonstrate whether Chat GPT has solid geriatrics knowledge and can apply it to 2 common complex geriatric syndrome vignettes (polypharmacy and falls) by responding to comprehensive questions.
We designed these 3 distinct approaches to provide evidence of whether Chat GPT can be trusted to be potentially applied to geriatrics education and clinical practice as an assistive tool.
JMIR Form Res 2025;9:e63494
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Falls can also have a significant impact on quality of life. Fear of falling can lead to social isolation, reduced physical activity, and loss of independence [13]. These psychosocial consequences can further exacerbate the risk of falls by creating a vicious cycle.
Identifying individuals at elevated risk of falling constitutes a critical aspect of preventing falls.
JMIR Aging 2024;7:e55681
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