View clinical trials related to Accidental Falls.
Filter by:The goal of this clinical trial is to learn about musculoskeletal pain, functionality, and risk of falls in community-dwelling adults aged 60 years and older. The main questions it aims to answer are: - What are the characteristics of a community-dwelling population over 60 years and older in terms of musculoskeletal pain, functionality, and risk of falls? - Does an intervention with virtual reality lower musculoskeletal pain, raise functionality and prevent falls in community-dwelling adults aged 60 years and older, compared to a control group that does not receive such intervention? Participants will: - Answer questionnaires. - Perform physical laboratory tests through a camera-based motion capture system. - Execute task-based exercises in a virtual environment through virtual reality. Researchers will compare community-dwelling adults aged 60 years and older who execute task based exercises in a virtual environment through virtual reality and community-dwelling adults aged 60 years and older without any intervention to see if virtual reality improves musculoskeletal pain, functionality, and lowers fall risk.
The goal of this clinical trial is to compare three care models for optimizing medications and preventing falls with broken bones in patients receiving rehabilitation after a hospitalization for a broken bone. The primary outcome is injurious falls, with secondary outcomes measuring how the process of care is changed and capturing patient-reported outcomes valued by stakeholders. The main questions this study aims to answer are: - Which of the three models is more effective in preventing falls with fractures? - What are the differences in patient-centered outcomes amongst the three models? These include pain, depression, anxiety, sleep, medication side effect burden, and fear of falling. - What are the differences in osteoporosis treatment and medication burden? The three care models are: a Deprescribing Care Model designed to reduce or stop fall-related medications, a Bone Heath Service Model designed to provide osteoporosis evaluation and management, and an Injury Prevention Service Model offering both services. 42 SNFs will participate in this study. The three models will be incorporated into the routine care of patients at these facilities who are receiving rehabilitation after a hospitalization for a fracture. All care models will be delivered remotely to patients in the SNF and after they transition home by a post-fracture nurse consultant supported by an interprofessional team. This study has three aims. See Detailed Description for more details. This ClinicalTrials.gov record represents the Comparative Effectiveness Aim of the protocol.
The safety integration stakeholders (saints) program to integrate worker and patient safety in Oregon rural hospitals. The rationale is that the saints program will positively impact outcomes by identifying and training peer leaders on strategies to optimize environmental, administrative, and educational components to become a saint and regularly collaborate with safety stakeholders/administrative leaders at each site through continuous improvement cycles (e.g. plan-do-study-act).
Falls are a frequent cause of admission to nursing homes [2]. It is also the most frequently reported adverse event in these institutions. The prevention of falls in EHPAD must mobilise several levers of action and involve all staff. It must be included in the establishment's project in the same way as the policy on the proper use of restraints [21]. Home automation and new technologies can contribute to the prevention of falls and their consequences. Most of the existing solutions on the market are either fall detection solutions based on a watch or pendant or rise detection solutions based on a sub-mattress or floor mat. All of these solutions work with a contact and often require a daily set-up or check by the care teams. But the real challenge today for new technologies is to prevent falls in the elderly, by directly addressing the risk factors. KASPARD is a non-contact (remote sensors) and non-intrusive (no video image, it uses point cloud technology) solution for detecting falls, excessive wandering and nocturnal activities in a nursing home. The information is transmitted securely via the wifi network to a mobile phone (or TSI/DECT) and to a computer. The KASPARD solution, which is already on the market (non-medical CE marking), is used in several EHPADs in Belgium and France. It is not a medical device. To date, it has a sensitivity and specificity of over 90% (manufacturer's unpublished data). We wish to verify the effectiveness of the KASPARD technology for the prevention of falls in EHPAD, suggested for the moment by an observational study, with the help of a multi-centre clinical study
The present clinical trial aims to identify if skills acquired during aquatic exercise are more effectively transferred to a reactive balance task than land exercise. This study is designed as a double-blinded, randomized controlled clinical trial. Forty-four older adults aged 60 years or above who meet the eligibility criteria will be recruited and randomized into an aquatic exercise group or land exercise group. Each group will participate in the same balance training exercise during a single session that includes a ball throwing and catching task. A modified lean-and-release test will be implemented on land immediately before, after, and one week after the training session. The outcomes will include reaction time, rapid response accuracy, and mini-BESTest scores obtained from stepping and grasping reactions.
This study aims to examine the effect of external, internal and no attention focus walking training during gait rehabilitation on real-time conscious motor processing (reinvestment), balance, walking ability and fear of falling by older adults at risk of falling in Hong Kong. One-hundred and eight older adults will be recruited from elderly community centers in Hong Kong. Participants will be randomly assigned into 3 groups (i.e., No Attention Focus Walking Group (NAFWG; active control group, n=36), an External Attention Focus Walking Group (EAFWG, n = 36) or an Internal Attention Focus Walking Group (IAFWG, n = 36)). Participants in different groups will have training sessions (about 45 minutes each) three times per week for 4 weeks in a group of 6 participants. A total of 12 sessions will be completed by each participant. All training sessions will be conducted by experienced registered physiotherapists in Hong Kong and a research assistant with experience in exercise training for older adults. In each training session, all groups will have warm-up (5 minutes), balance training (5 minutes), body transport training (5 minutes), body transport with hand manipulation training (5 minutes), walking training with various levels of difficulties in a 40-meter walkway with different instructions in different walking groups (20 minutes) and cool down (5 minutes). For the walking training (20 minutes), all participants will be invited to conduct walking training on a walking field with an area of 25 meter square and a total walking distance of about 40 meters for each walking trial from cone 1 to 9. Two screens that connected with a laptop computer will be positioned 1 meter beside the walking field. Both screens will be projected different digits from 0 to 9 randomly in the speed of 2 seconds per digit. Participants in the NAFWG, EAFWG, and IAFWG will receive different instructions during walking training. Each participant will complete assessment sessions (total 3 assessment sessions) before training at baseline (T0), just after completion of all training sessions (T1) and 6 months after completion of all training sessions (T2). In the baseline assessment (T0), a structural questionnaire will be used to ask for demographics, medical history, detailed history of fall incident, social history and social economic status of all participants. A battery of assessments will be conducted to assess physical and cognitive abilities of the participants in all assessment sessions (T0, T1, & T2). Walking ability will be assessed by the 10 meters comfortable and fast walking speed (Bohannon, 1997). Functional balance and gait assessment will be done by the Tinetti Balance Assessment Tool (Tinetti, 1986), the Berg Balance Scale (BBS) (Berg et al., 1989) and the Timed 'Up & Go' Tests (TU&G) (Podsiadlo & Richardson, 1991). Cognitive function will be evaluated by the Chinese version Mini-Mental State Examination (MMSE-C) (Folstein et al., 1975; Chiu et al., 1994). The Chinese version of the Fall Efficacy Scale International (FES-I (Ch)) (Kwan, Tsang, Close & Lord, 2013) will be completed to assess the fear of falling. The Chinese version Movement Specific Reinvestment Scale (MSRS-C) (Masters et al., 2005; Wong et al., 2015a; Wong et al., 2015b) will be administered to examine the conscious motor processing propensity (i.e., movement specific reinvestment). The alpha2 EEG coherence between T3 (verbal-analytical region of the brain) and the Fz (motor planning region of the brain) (i.e., T3-Fz EEG coherence) of all participants when walking at the 6-meter level-ground walkway (three walking trials) will be determined to identify the real-time conscious motor processing propensity (Zhu et al., 2011; Ellmers et al., 2016; Chu & Wong, 2019). All participants will be equipped with EEG electrodes before the start of the three walking trials. EEG activity will be received using a wireless EEG device (Brainquiry PET 4.0, Brainquiry, The Netherlands) and will be recorded using the real-time biophysical data acquisition software (BioExplorer 1.5, CyberEvolution, US). Previous research has demonstrated that alpha2 (10-12Hz) T3-Fz EEG coherence is sensitive at detecting within-subject changes in real-time conscious motor processing propensity during a postural sway task (Ellmers et al., 2016). T4-Fz EEG coherence will be utilized to identify whether the changes in the alpha2 T3-Fz EEG coherence will be due to global activation of the brain. The EEG electrodes are non-invasive and will not be used in any diagnostic purpose. All participants will be asked to record their number of falls prospectively at the time between T1 (completion of all training sessions) and T2 (6 months after completion of all training sessions) using a structural calendar. The number of falls within the 6-month follow-up period will then be collected.
"La Casa nel Parco" (CANP) Project is a multidisciplinary project funded by the European Union and Regione Piemonte aimed to explore innovative technology application in the care of older subjects. In this context, ADAMO is a single arm open label trial evaluating the capability of a wearable watch device to correctly detect fall events in community-dwelling older subjects aged 75 years and older, at high risk of falls. Secondary objectives of the study are to identify specific patterns on telemetric measures and health status variations able to predict future fall events, and to evaluate the tolerability and the influence on patient's quality of life of this wearable device. The main objectives of the study are to evaluate the impact of the intervention on 1) medication adherence after discharge 2) medication appropriateness.
This study aims to benchmark the performance of an iOS application against the Berg Balance Scale (BBS), which is the most commonly used assessment tool by clinicians for measuring balance across the continuum from acute care to community-based care. An iPhone will be tied around the waist of the participant and concurrent measurements will be taken for five of the fourteen stances which comprise the BBS.
This study's main aim is to compare the effect of a modified FaME vs. a multisensory balance exercise programme on falls risk, balance confidence and quality of life in older adults who fall or at risk of falling when implemented in a group setting.
The participants will complete a series of balance assessments with a licensed physical (PT) or occupational therapist (OT) or qualified research assistant (RA) at Blue Marble Game Co or in their respective homes at the start of the study, at crossover and upon completion of the study. During this study a PT, OT, or RA trained in fall risk management will supervise the instruction and practice by participants of the home exercise programs during the initial 2-3 hour introduction to the study activities. Participants will be asked to exercise 3/week for one month then crossover to the alternative exercise program and exercise 3/week for a second month.