Use of digital questionnaires to identify and manage fallers within a perioperative population
Systematic Review on Exercise-Based Interventions for Fall Risk, Pain, and Balance in Older Adults with Knee Osteoarthritis
Does prolonged walking in daily-life alter fall-related gait quality in community-dwelling older adults?
Does exercise-induced muscle fatigue lead to changes in movement behaviour? Preliminary insights from a stepping-down paradigm
Gait impairments may predict falls risk in idiopathic Normal Pressure Hydrocephalus: Evidence from 3D motion analysis
Improving Sleep to Reduce Falls on a Frailty Ward
A New Model for Fall Risk Reduction in the American Primary Care Setting
Using Quality Improvement to support the implementation of the Action Falls programme in care homes
Characteristics of Falls and Fear of Falling Among Older Malaysians with Coexisting Diabetes Mellitus and Knee Osteoarthritis: A cross sectional study
Improving assessment and management of Concerns about Falling among older hospital inpatients
Evaluation of a dedicated 'Concerns about Falling' clinic
An overview of the Dementia UK Consultant Admiral Nurse service supporting families affected by frailty and dementia
Abstract Content : An overview of the Dementia UK Consultant Admiral Nurse service supporting families affected by frailty and dementia Introduction: Emerging and increasing frailty often goes unidentified, and families living with dementia and frailty are missing vital opportunities to receive the right support at the right time. People living with frailty are less able to adapt to stress factors such as acute illness, injury, or changes in their environment, personal or social circumstances, leading to adverse health outcomes and an earlier loss of independence. Method: We have developed a
Clinical Management of Concerns About Falling: Gaps, Barriers and Future Directions
From play to prevention: Exergames for preventing falls in older adults. Systematic review and meta-analysis
Beyond the Clinic: Enhancing Fall Risk Prediction through the BE-FIT Built Environment Framework
Introduction: Traditional fall risk assessments are predominantly conducted in controlled clinical settings, often failing to capture the complex interaction between an individual’s gait and real-world environmental stressors. Current predictive models largely ignore extrinsic factors, such as surface irregularities or visual distractions. The ongoing BE-FIT project aims to bridge this gap by validating a novel, ecological fall risk prediction score that integrates intrinsic biomechanical markers with extrinsic built environment features. Methods: This ongoing study analyzes data from a