Falls are commonly associated with knee osteoarthritis and represent a significant financial burden on the healthcare system. Therefore, the discovery of physical therapists' attitudes and practices regarding fall screening and prevention among patients with osteoarthritis should be investigated. Moreover, this study aimed to identify barriers that might limit its implementation among this population. A cross-sectional study design was used to collect the data. The electronic survey targeted licensed physical therapy professionals who currently work in clinical or academic settings in Saudi Arabia. The data were analyzed descriptively and inferentially using chi-square. Two hundred and six licensed physical therapists completed the survey, 119 females (57.8%) and 87 males (42.2%). The results of the structural equation modelling analysis showed that intention to use fall screening and management strategies was positively associated with the history of falls, identifying risk factors of falls, and documentation of risk factors of falls ( ≤ 0.0001). The most reported barriers to implement fall screening and prevention were lack of knowledge ( = 92, 45%), lack of training/skills ( = 84, 41%), and time constraints ( = 57, 45%), followed by patient compliance with 38% of the responses. The findings highlighted the importance of identifying the key opportunities for knowledge translation in clinical practices to enhance the sufficient implementation of fall screening and management in osteoarthritis care.
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http://dx.doi.org/10.3390/healthcare12070718 | DOI Listing |
J Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Healthcare (Basel)
January 2025
Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, 2-5-11 Higashigaoka, Meguro-ku, Tokyo 152-8621, Japan.
: Falls are common adverse events among hospitalized patients, affecting outcomes and placing a financial burden on patients and hospitals. This study investigated the relationship between nurse staffing/workload and patient falls during hospitalization. : The patients studied were hospitalized in the general wards (excluding pediatrics and obstetrics/gynecology) of 11 National Hospital Organization institutions between April 2019 and March 2020.
View Article and Find Full Text PDFBackground: People living with dementia (PWD) have upregulated inflammatory pathways, exaggerated metabolic aging, and cellular aging. They also have declines in physical function and heightened fall-risk. Understanding the physiologic factors that influence physical decline and fall-risk in PWD is vital to assess and prevent adverse health outcomes, such as future falls.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: Brains affected by Alzheimer's disease (AD) exhibit senile plaques containing amyloid beta (Aβ) peptides and neurofibrillary tangles, formed when tau becomes hyperphosphorylated and disengages from microtubules (MTs). Early instability in MTs is observed in the AD process, emphasizing its significance in connecting the hallmark pathologies of Aβ/tau-based degenerative events. While current Aβ and tau PET approaches can characterize disease lesions, they fall short in capturing earlier molecular events.
View Article and Find Full Text PDFBackground: Mild traumatic brain injury (mTBI) increases dementia risk. Delays in diagnosis are common due to insensitive tools, prolonging symptoms and time to treatment. Dual-task gait and functional mobility deficits are present post-mTBI and in people living with dementia (PWD); however, it is unclear whether dual-tasking can be used as a tool to differentiate between groups.
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