Frailty predicts short-term incidence of future falls among British community-dwelling older people: a prospective cohort study nested within a randomised controlled trial

Is Technology Present in Frailty? Technology a Back-up Tool for Dealing with Frailty in the Elderly: A Systematic Review

This study analyzes the technologies used in dealing with frailty within the following areas: prevention, care, diagnosis and treatment. The aim of this paper is, on the one hand, to analyze the extent to which technology is present in terms of its relationship with frailty and what technological resources are used to treat it. Its other purpose is to define new challenges and contributions made by physiotherapy using technology. Eighty documents related to research, validation and/or the ascertaining of different types of hardware, software or both were reviewed in prominent areas. The authors used the following scales: in the area of diagnosis, Fried's phenotype model of frailty and a model based on trials for the design of devices. The technologies developed that are based on these models accounted for 55% and 45% of cases respectively. In the area of prevention, the results proved similar regarding the use of wireless sensors with cameras (35.71%), and Kinect™ sensors (28.57%) to analyze movements and postures that indicate a risk of falling. In the area of care, results were found referring to the use of different motion, physiological and environmental wireless sensors (46,15%), i.e. so-called smart homes. In the area of treatment, the results show with a percentage of 37.5% that the Nintendo® Wii™ console is the most used tool for treating frailty in elderly persons. Further work needs to be carried out to reduce the gap existing between technology, frail elderly persons, healthcare professionals and carers to bring together the different views about technology. This need raises the challenge of developing and implementing technology in physiotherapy via serious games that may via play and connectivity help to improve the functional capacity, general health and quality of life of frail individuals.

Is independence of older adults safe considering the risk of falls?

BACKGROUND

Falls affect approx. 30% of elderly population per year. They cause major injuries and reduce independence of the older adults' functioning. The main objective of the study was to evaluate the degree of independence and find the fall risk factors in the study group.

METHODS

The study included 506 - older adults. The study group included patients from GP clinics and members of two senior centers. The study duration was 12 months. Our study tools included EASY- Care Standard 2010 questionnaire, Abbreviated Mental Test Score (AMTS), Index Barthel, Instrumental Activities of Daily Living Scale (IADL), Geriatric Depression Scale (GDS), Timed Up and Go (TUG).

RESULTS

The study included 357 (70.6%) female and 149 (29.4%) male subjects. The mean age of the study group patients was 75.7 years ± 8.0. Most of the older adult subjects were independent in both basic (Index Barthel) and instrumental (IADL) activities. Gait fluency evaluated in TUG scale found slow and unsteady gait in 33.7% of the subjects. 27.5% of the subjects used mobility aids when walking. In the Risk of falls scale, 131 subjects (25.89%) were at risk of falls. According to logistic regression the main risk of fall determinants (p <0.05) in the study group were: age, previous falls, feet problems, lack of regular care, impaired vision, urinary incontinence, pain, sleeping disorders, and lowered mood.

CONCLUSIONS

Risk of falls increases in people less independent in terms of basic and complex life activities and in people with depression. Most of the risk factors can be modified. It is necessary to develop a standard procedure aimed at preventing falls in the elderly.

Geriatric falls in the context of a hospital fall prevention program: delirium, low body mass index, and other risk factors

BACKGROUND

Inpatient geriatric falls are a frequent complication of hospital care that results in significant morbidity and mortality.

OBJECTIVE

Evaluate factors associated with falls in geriatric inpatients after implementation of the fall prevention program.

METHODS

Prospective observational study comprised of 788 consecutive patients aged 79.5±7.6 years ( [Formula: see text] ± standard deviation) (66% women and 34% men) admitted to the subacute geriatric ward. Comprehensive geriatric assessment (including Mini-Mental State Examination, Barthel Index of Activities of Daily Living, and modified Get-up and Go Test) was performed. Confusion Assessment Method was used for diagnosis of delirium. Patients were categorized into low, moderate, or high fall risk groups after clinical and functional assessment.

RESULTS

About 15.9%, 21.1%, and 63.1% of participants were classified into low, moderate, and high fall risk groups, respectively. Twenty-seven falls were recorded in 26 patients. Increased fall probability was associated with age ≥76 years (P<0.001), body mass index (BMI) <23.5 (P=0.007), Mini-Mental State Examination <20 (P=0.004), Barthel Index <65 (P=0.002), hemoglobin <7.69 mmol/L (P=0.017), serum protein <70 g/L (P=0.008), albumin <32 g/L (P=0.001), and calcium level <2.27 mmol/L. Four independent factors associated with fall risk were included in the multivariate logistic regression model: delirium (odds ratio [OR] =7.33; 95% confidence interval [95% CI] =2.76-19.49; P<0.001), history of falls (OR =2.55; 95% CI =1.05-6.19; P=0.039), age (OR =1.14; 95% CI =1.05-1.23; P=0.001), and BMI (OR =0.91; 95% CI =0.83-0.99; P=0.034).

CONCLUSION

Delirium, history of falls, and advanced age seem to be the primary risk factors for geriatric falls in the context of a hospital fall prevention program. Higher BMI appears to be associated with protection against inpatient geriatric falls.

Frailty as a predictor of hospitalisation among community-dwelling older people: a systematic review and meta-analysis

BACKGROUND

Owing to detrimental hazards and substantial healthcare burden and costs, hospitalisation of older people has become a major focus. Frailty has increasingly been recognised as an important predictor of hospitalisation. This study aims to identify studies on physical frailty as a predictor of hospitalisation risks and to pool the risk estimates among community-dwelling older people.

METHODS

A systematic literature search was performed in August 2015 using five databases: EMBASE, MEDLINE, CINAHL, PsycINFO and the Cochrane Library for prospective studies examining physical frailty as a predictor of hospitalisation published in 2000 or later. OR and HR were combined to synthesise pooled effect measures using fixed-effects models. The included studies were assessed for heterogeneity, methodological quality and publication bias. Subgroup analysis and meta-regression analysis were conducted to examine study characteristics in relation to the hospitalisation risks.

RESULTS

Of the 4620 studies identified by the systematic review, 13 studies with average follow-up period of 3.1 years were selected. Frailty and prefrailty were significantly associated with higher hospitalisation risks among 10 studies with OR (pooled OR=1.90, 95% CI 1.74-2.07, p<0.00001; pooled OR=1.26, 95% CI 1.18-1.33, p<0.00001, respectively) and 3 studies with HR (pooled HR=1.30, 95% CI 1.12-1.52, p=0.0007; pooled HR=1.13, 95% CI 1.04-1.24, p=0.005, respectively). Heterogeneity was low to moderate. No publication bias was detected. The studies with older populations and unadjusted outcome measures were associated with higher hospitalisation risks in the subgroup analysis.

CONCLUSIONS

This systematic review and meta-analysis demonstrated physical frailty is a significant predictor of hospitalisation among community-dwelling older people. Hospitalisation can potentially be reduced by treating or preventing frailty.