View clinical trials related to Fall.
Filter by:Fall is one of the most common problems experienced by the elderly, is an important public health problem in many societies. Falls are one of the leading causes of fatal and non-fatal injuries in the elderly. An average of one-third of individuals aged 65 and over have a fall at least once each year. The research will be carried out on the web page that on fall prevention prepared within the scope of this project. The aim of this project is to assess the effect of Web-Based Fall Prevention Program on falling, fall risk and fear of fall.
The purpose of this project is to combine a novel posturogrpahy based on HTC VIVE trackers and hybrid machine learning and deep learning algorithms to establish a set of simple, convenient and valid fall risk assessment tool. This observational and follow up study will community elderly aged over 60 years old. The investigators will collect demographic data, questionnaire surveys, traditional balance tests and the tracker-based posturography to obtain the trunk stability parameters in different standing task. The fall risk will be classified according to self-reported falls n the past one year and verified in a 6-month follow up. The investigators will evaluate the performance of different hybrid machine learning and deep learning algorithm to extract the important features of multiple posturographic parameters and select an optimal model. The investigators will use the receiver operating characteristic curve analysis to compute the sensitivity, specificity and accuracy of different algorithms for risk classification and also compare the performance with traditional balance assessment tools.
A fall in the elderly is defined by the WHO as "an event in which a person [over 65 years of age] inadvertently falls to a lower level on the ground or other surface than they were previously at". The severity of the consequences of falls is correlated with the age of the person who suffers them, making people over 65 at risk. Since 2000, the number of falls among the elderly has not decreased, including in institutions. Today, the direct and indirect costs of falls are estimated at 1.7 billion euros in France. The French National Authority for Health (HAS) stresses that the lack of success of prevention policies is due in particular to the lack of evaluation and prevention resources. In nursing homes, this lack of resources is sometimes used to justify passive restraint to ensure the safety of participants. However, this method poses the problem of the free movement of residents within the institution. The fall detection technologies already on the market do not allow for the assessment of the risk of falling and therefore for early action. Based on the latest scientific data in static posturography, researchers at the Borelli Centre have developed posturographic markers whose non-linear analysis makes it possible to establish an objective and clinically relevant score based on the study of the displacement of the centre of pressure. In contrast to the techniques commonly used in the laboratory to study balance (which are not usable in health care institutions because of their cost, lack of transportability and the expertise required to explore the recorded data), this method of measurement allows health care professionals to quickly and easily measure the balance of participants in routine consultations. Thus, special attention and targeted rehabilitation can then be implemented to prevent falls and their consequences.
This study is a randomized, parallel-group, single blinded controlled clinical trial. The general objective of this multicomponent physical exercise program (MPEP) associated with a Mediterranean Diet (MeDi) is to decrease the risk of falls and fractures through the improvement of the bone health and physical functions of people with Alzheimer Disease. Patients allocated to the intervention group will perform a MPEP with a MeDi during 6 months, with a frequency of 3 sessions per week, and approximately 45-50 minutes of duration each session. During the study, 4 evaluations will be carried out to assess the effects of the interventions on bone mineral density, gait, balance, and fall risk: ((1) Baseline (pre-intervention); 2) 1st post-intervention after 1 month; 3) 2nd post-intervention after 3 months; 4) Final, 3rd post-intervention after 6 months
This study will be an open label, simple randomized controlled trial at a single hospital. The two arms will be equally allocated on a 1:1 ratio into intervention and control groups. The control arm will receive the usual standard postoperative rehabilitation after a bipolar hemiarthroplasty/ total hip arthroplasty which will include in hospital rehabilitation and a maximum of 5 visits postoperatively, arranged and funded by the patient as feasible. The intervention group will receive an extended home-based rehabilitation program twice a week continued for 3 months (12 weeks) after discharge funded by the study. The study will be conducted solely at Aga Khan University Hospital. The care providers involved with the study will include orthopaedic consultants, Family medicine physician, physiotherapist, and orthopaedic nurses. A total of 224 elderly patients aged 60 years and above undergoing hip fracture surgery will be evenly divided into intervention and control arms. The Primary outcome of the study is incidence of falls. Falls will be measured 3 monthly by research-assistant follow-up telephone calls for both the groups. Face to face interview which will be conducted in routine follow-up visits of all patients (both groups) will include assessment physical performance using Short Physical Performance Battery (SPPB) tool.
This study aims to examine the effectiveness of an intensive five day falls prevention training programme with a home evaluation and a home exercise programme, compared with a home evaluation and exercise programme alone for reducing incidence of falls and fear of falling, and improving confidence in functional ability and objective balance.
This study is a single-center, prospective, non-blind, parallel-group, randomized controlled trial with an experimental and a control group with the aim of evaluating the clinical impact of a home-based falls prevention program using a new biofeedback system on community-dwellers older adults with fall risk in comparison with standard of care. The experimental group will perform a 12-week exercise program at home, under remote monitoring from a clinical team, whereas the control group will benefit from standard medical care currently in place at the participating primary care facility. The hypothesis is that the home-based falls prevention program will lead to a lower risk of falling than standard medical care.
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.
Older adults who are referred to home care physiotherapy often only get to see the physiotherapist three to five times and are expected to continue exercising on their own. We have developed an interactive technology called ABLE that helps older adults do exercise in their homes by making it fun and interactive. We want to see if we can help 25 older adults to exercise with ABLE for three months and if exercising with ABLE for three months changes older adults' strength and balance. A physiotherapist will visit the older adults three times in their homes and show them how to use ABLE and which exercises to do. We will measure older adults' strength and balance before and after using the program and ask them and their family members for feedback about using ABLE. The results of our study will help us decide if we can do a bigger study to test the effect of using ABLE in a larger group of older adults, and to see what effect ABLE might have on strength and balance. The study will also help us incorporate feedback from the older adults and their families to improve ABLE for the next study.