View clinical trials related to Fall Patients.
Filter by:The objective of this study is to determine which gait parameters measured at home using e FeetMe® Insoles are associated with a risk for falls in a patient population suffering from osteoporosis and a higher with high risk of fractures and falls. Each patient will be asked to go to 3 visits at the Cochin hospital, and to wear the soles after each of these visits during 3 days, at home, to record the data, so that it reflects walking patterns of the patient in his/her daily life and activities. At the eachvisit, clinical tests to assess fall risk will be performed (Timed Up and Go test, one foot stance, Short Physical Performance Battery and 6 minutes walking test ). The patients will be supplied with a pair of FeetMe® Monitor Insoles, return home and walking parameters will be recorded for 3 to 10 consecutive days.
In Reunion Island, people encounter environmental and social conditions leading to premature ageing and subsequent frailty. The study evaluates tools, supported by the latest scientific advances in "machine learning" to detect, identify and measure frailty in order to give health professionals the means to act early through preventive actions.
The purpose of this study is to evaluate the feasibility and efficacy of a smart airbag system that detects and mitigates fall-related impact in individuals with high fall risk.
The Joint International Commission (JCI) defines a fall as an unplanned, abrupt, change of motion towards the ground that may result in physical injury. Falls are among the most obvious reasons for applying to health centers after an involuntary external injury. Risk of falls diagnostic tools; It is used to reduce the incidence of falls, to reduce the severity of falls, to increase walking and existing functional status, to determine the factors causing falls and to keep them under control, and to raise awareness of health personnel about falls. This study aims to make the Turkish cultural adaptation of the Tinetti Fall Efficiency Scale, to test the validity and reliability of the factorial structure in elderly individuals. It was planned to determine that it is specific and sensitive. The Fall Efficiency Scale (DAS) was developed based on the definition of this fear as "low perceived self-efficacy in avoiding falls during harmless activities of daily living".
The Falls Predictor Clinical Investigation is a research study that aims to investigate the value of an update (Falls Prediction RAMware) to an implantable cardiac monitoring device (The Reveal LINQ™) in predicting unexplained falls. The Reveal LINQ™ is an implantable cardiac monitoring system manufactured by Medtronic that has the ability to monitor heart rate, rhythm and activity and is preprogrammed to detect abnormalities. An R&D team at Medtronic has been collaborating with the study PI Prof Rose Anne Kenny on this project they are responsible for developing a software update for the Reveal LINQ™ that would enable the device to collect additional sensor data such as accelerometer (step count) and Posture change. The additional investigational fields along with the standard cardiac fields that are monitored may be useful in predicting or identifying physiological changes before a fall. The study will involve up to 30 patients, recruited and consented from recurrent non-accidental fallers referred to the Falls and Syncope Unit at St James's Hospital, Dublin.
The damage caused by patient falls is a major public health problem, due to the large and growing number of people concerned, the potentially serious consequences but also the financial cost generated by their care. These consequences can be physical as well as psychological. Fractures and pain are the first consequences that come to mind, but many others should be mentioned: post-fall syndrome, loss of autonomy or even entering an institution, fear of falling, loss of confidence in itself.
Lack of research oriented health care facilities especially rehabilitation department in Pakistan. 30-50 % of population of age 65 years and above have some problems with balance (3) and 75 % of people aging 70 years and above have poor balance which leads to fall related injuries (5). So fall and related injuries are major problem in this age group. All studies conducted so far addresses only one or two aspects of balance training not to all. This study will address all the aspects and develop a comprehensive balance training protocol and will try to contribute to this under research area.
The overall goal of this research is to compare the effects of two different exercise programs on gait function in older adults. The investigators want to determine if participation in lateral stepping exercise program for six weeks will improve gait functions compared to forward walking exercise program.
The long-term goals of the project are: 1) Preventing falls before they occur, by significantly improving our ability to monitor fall risk and develop early and sensitive markers for this risk, based on tripping and near falls and other physiological signs, 2) automatically diagnosing falls within seconds from the time of the incident, without the need for an emergency / distress button or making a phone call.
ENTAiER study is a multicentre randomized controlled trial to assess the efficacy and safety of eurythmy therapy and Tai Chi in comparison to standard care in chronically ill elderly patients with increased risk of falling. Subjects will be randomized to eurythmy therapy or Tai Chi or standard care alone. To investigate the changes in cardiovascular and sleep quality parameters under Eurythmy Therapy and Tai Chi in comparison to Standard Care in this trial, a substudy will be conducted only at the ARCIM Institute. The substudy will recruit enrolled participants from the ENTAiER trial to record various cardiovascular and sleep quality parameters. The aim is to compare changes in cardiovascular and sleep quality parameters under eurythmy therapy, Tai Chi and standard care alone in chronically ill elderly patients with increased risk of falling.