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Skip search results from other journals and go to results- 11 JMIR Aging
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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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Relationship Between Depression and Falls Among Nursing Home Residents: Integrative Review
falls; and (6) factors contributing to falls.
Interact J Med Res 2024;13:e57050
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Falls in hospitals cause serious injuries and deaths [1]. Inpatient falls are difficult to predict [2] or prevent [3], although some inpatient fall prevention strategies that require efforts early in patients’ admissions have been effective [4-6].
J Med Internet Res 2024;26:e59634
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Although STRATIFY has been widely used to assess fall risks since its development, its ability to predict falls among older adults is unsatisfactory.
J Med Internet Res 2024;26:e58380
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The aim of this study was to evaluate the accuracy and validity of using continuous digital monitoring wearable devices to detect frailty and poor physical performance in older adults at risk of falls.
This is a substudy of 156 community-dwelling older adults ≥60 years old with falls or near falls in the past 12 months who were recruited for a fall prevention intervention study from community and primary care centers in Singapore.
JMIR Form Res 2024;8:e58110
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A growing body of evidence indicates that these individuals face high risks of adverse outcomes after ED discharge, including falls [2] and functional decline [3]. 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].
JMIR Aging 2024;7:e57601
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