View clinical trials related to Fall Injury.
Filter by:This is a randomized interventional clinical trial, whereby 100 participants will be randomized to either follow the SAFE exercise program (experimental group) or not (control group). At the end of the intervention, the experimental group will be encouraged to continue doing the exercises, and the control group will have the opportunity to participate in the SAFE exercises. 12 weeks post-intervention, the investigators will follow up with participants by telephone to follow up whether they are still following the SAFE program or not.
Background: Falls and fall-related injuries among older adults are a significant health problem that results in injuries, prolonged hospitalisation, reduced mobility, and poorer quality of life. Previous falls prevention programs have demonstrated the effectiveness of multi-component falls prevention interventions in improving functional outcomes and reducing falls compared to usual care. A previous trial of a tailored multi-component falls intervention program for older adults recruited from the emergency department (SAFE) found that there is significant heterogeneity in terms of falls risk factors in high falls risk older adults. Thus, the effectiveness of SAFE in participants with poorer cognitive function or had more comorbidities were less effective and less cost-effective. Therefore, the aim of this trial is to demonstrate the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention in reducing number of fallers and injurious fallers among older adults with elevated fall risk. Hypothesis: Using novel wearable technologies to a) identify older adults who are at high risk of falls and more likely to benefit from a multi-component intervention and b) tailor the exercise and educational components by giving individualized biofeedback will improve the effectiveness of an enhanced multi-domain, multi-component falls intervention program for community dwelling older adults. Methodology: This study is a randomized controlled trial aimed at demonstrating the effectiveness of a technology-enhanced, multi-domain and multi-component falls prevention intervention (SAFE-TECH) in community- dwelling older adults with elevated fall risk compared with usual care. Participants in both arms are selected based on questionnaire based and wearable sensor based predictions of their falls risk. Participants in the intervention arm will receive a 12-week active falls intervention program consisting of exercise and educational components, with detailed biofeedback of their functional status.
Falls are the primary cause of traumatic injury in older adults, and tripping is the leading cause of falls. A robust method for improving aging-related proprioceptive deficits is lacking, while strong evidence shows that proprioception deficits are highly associated with poor balance recovery from tripping. Previous research suggested that stochastic vibratory stimulation (SVS) can influence proprioception (i.e., muscle spindle function) among healthy controls; however, it is not clear how older adults with deficits in muscle spindle function would react to SVS. In previous work the investigators showed promising findings of standing balance and timed-up-and-go (TUG) improvements using SVS among high fall risk older adults with history of fall 15-18. They will implement SVS in the current project to improve aging-related proprioceptive deficits. The hypothesis is that SVS improves muscle spindle function and balance recovery from tripping in older adults with proprioceptive deficits.
The purpose of the research is to study a new safety monitoring system developed by SafelyYou to help care for a loved one with dementia. The goal is to provide better support for unwitnessed falls. The SafelyYou system is based on AI-enabled cameras which detect fall related events and upload video only when these events are detected. The addition of a Human in the Loop (HIL) will alert the facility staff when an event is detected by the system.
The investigators aim to do this initial pilot study as an observational prospective cohort study, evaluating elderly patients who have capacity in National Health Service (NHS) rehabilitation and community hospitals. The patients will each be recorded doing simple activities of daily living in two 2 hour sessions using a discrete wireless device. This will generate anonymous data set that can be used to train and refine our machine learning algorithm.
The purposes of this project to examine whether older adults can learn safe landing strategy during a fall. The research hypotheses are three-fold: 1) To determine whether older adults can learn a safe landing strategy to reduce impact severity of falling; 2) To examine whether the training effect on the right side falls can be transferred to the left side falls; and 3) To examine 1-week and 3-month retention effect of fall strategy training in older adults.