Does exercise reduce falls in older adults living in nursing homes?

2016 ◽  
Vol 19 (1) ◽  
pp. 5
Author(s):  
Erin Hammer ◽  
Irene Hamrick
2021 ◽  
pp. 1-11
Author(s):  
Cristina Imaginário ◽  
Teresa Martins ◽  
Fátima Araújo ◽  
Magda Rocha ◽  
Paulo Puga Machado

<b><i>Introduction:</i></b> To identify factors predictive of falls and enable appropriate management of fall risk it is necessary to understand the behaviour and health conditions of older adults living in nursing homes. <b><i>Objective:</i></b> This study had two main objectives. The first was to find significant predictors for falls in older adults living in nursing homes. The second main goal was to build a predictive model to find the best predictors for falls. <b><i>Methods:</i></b> Out of 56 nursing homes with the same legal statute, 25 agreed to participate. The sample was randomly selected and only the independent or slight/moderately dependent participants were included in the study (<i>n</i> = 325). <b><i>Results:</i></b> There was a mean of 1.47 ± 0.99 falls (range from 1 to 7) per resident in nursing homes. By using the <i>t</i> test and odds ratio analysis, ten factors related to falls were identified. Through the binary logistic regression, a model was tested identifying four robust predictors: static balance, resorting to emergency services, polypharmacy, and an independent self-care profile. <b><i>Conclusions:</i></b> The present study replicated the main results of contemporary research on the risk factors of falls. More importantly, it suggests that the self-care profile model should be taken into account in future studies and early interventions. It is crucial to implement preventive measures consistent with safer environments and to establish an individual plan for integrated activities according to older adults’ health needs.


Long-term care for older adults is highly affect by the COVID-19 outbreak. The objective of this rapid review is to understand what we can learn from previous crises or disasters worldwide to optimize the care for older adults in long term care facilities during the outbreak of COVID-19. We searched five electronic databases to identify potentially relevant articles. In total, 23 articles were included in this study. Based on the articles, it appeared that nursing homes benefit from preparing for the situation as best as they can. For instance, by having proper protocols and clear division of tasks and collaboration within the organization. In addition, it is helpful for nursing homes to collaborate closely with other healthcare organizations, general practitioners, informal caregivers and local authorities. It is recommended that nursing homes pay attention to capacity and employability of staff and that they support or relieve staff where possible. With regard to care for the older adults, it is important that staff tries to find a new daily routine in the care for residents as soon as possible. Some practical tips were found on how to communicate with people who have dementia. Furthermore, behavior of people with dementia may change during a crisis. We found tips for staff how to respond and act upon behavior change. After the COVID-19 outbreak, aftercare for staff, residents, and informal caregivers is essential to timely detect psychosocial problems. The consideration between, on the one hand, acute safety and risk reduction (e.g. by closing residential care facilities and isolating residents), and on the other hand, the psychosocial consequences for residents and staff, were discussed in case of other disasters. Furthermore, the search of how to provide good (palliative) care and to maintain quality of life for older adults who suffer from COVID-19 is also of concern to nursing home organizations. In the included articles, the perspective of older adults, informal caregivers and staff is often lacking. Especially the experiences of older adults, informal caregivers, and nursing home staff with the care for older adults in the current situation, are important in formulating lessons about how to act before, during and after the coronacrisis. This may further enhance person-centered care, even in times of crisis. Therefore, we recommend to study these experiences in future research.


2020 ◽  
pp. 101238
Author(s):  
Yoshiro Okubo ◽  
Daniel Schoene ◽  
Maria JD Caetano ◽  
Erika M Pliner ◽  
Yosuke Osuka ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S470-S470
Author(s):  
Edgar R Vieira ◽  
Márcio Oliveira ◽  
Andre Gil ◽  
Karen Fernandes ◽  
Denilson Teixeira ◽  
...  

Abstract Balance impairment is a common problem among older adults. Poor balance in older adults is often associated with mobility impairments, activity limitations and fear of falling in older adults. Thus, balance assessment is useful for early detection of postural control deficits to prevent mobility impairments and falls in older adults. The aim of this study was to assess if balance measures based in center of pressure (COP) parameters during one-legged stance could differentiate between older adults with and without falls in the past 12 months. One-hundred and seventy older adults (50 fallers and 120 non-fallers, age range: 63-72 years) performed three 30s one-legged stance trials with eyes open on a force platform with 30s of rest between each trial. The following variables were evaluated: COP 95% elliptical area, COP velocity in the anterior-posterior and medio-lateral directions, and test duration (how long the participant was able to stay in one-legged stance, up to 30s). Fallers had poorer balance than non-fallers (P ≤0.004). The COP parameters presented an area under the curve between 0.65-0.72, with sensitivity varying from 66 to 78% and specificity from 54 to 68%. There were no significant differences between fallers and non-fallers on test duration (17 vs. 18s, respectively). The findings showed that the fallers had similar duration time, but poorer balance than the non-fallers during one-legged stance. The COP parameters were able to differentiate the balance between fallers and non-fallers with acceptable area under curve, sensitivity and specificity.


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