Physical-cognitive training enhances posture during life tasks in older adults

17/10/2017

Source: Experimental Gerontology, 2017, online

Follow this link for the abstract

Date of publication: September 2017

Publication type: Journal article

In a nutshell: Physical-cognitive interventions seem promising to improve balance and gait performances and prevent falls in the elderly. Although these beneficial effects, it is still not clear whether these physical-cognitive training modalities leads to more general non-specific adaptations that can be transferred to some measures reflecting every day abilities.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.

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Self-powered fall detection system using pressure sensing triboelectric nanogenerators

17/10/2017

Source: Nano Energy, 2017, Vol. 41 p. 139-147

Follow this link for the abstract

Date of publication: November 2017

Publication type: Journal article

In a nutshell: Fall detection is becoming more important as the number of older people in society increases. People may fall at home where there is little timely help available, and falls themselves can cause injuries. Most fall detection technologies are inconvenient to wear, and visual or movement-based ones can be expensive and difficult to install. This study proposes a falls-detection system based on a pressure-sensing triboelectric nanogenerator array, which is cost-effective and ambient-based. It achieves a classification accuracy of 95.75% in identifying actual falls, and can be immediately installed due to low costs.

Length of publication: 8 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Balance and fall risk assessments with mobile phone technology

15/09/2017

Source: Archives of Gerontology and Geriatrics, 2017, online

Follow this link for the abstract

Date of publication: August 2017

Publication type: Journal article

In a nutshell: While falls are a major health concern for older adults, preventative measures can help to reduce their incidence and severity; methods for assessing balance and fall risk factors are necessary to implement preventative measures. Mobile applications are being developed to enable seniors, caregivers and clinicians to monitor risks. This systematic review assesses reviews of such apps for their accuracy, reliability and validity. Further research is needed.

Length of publication: 16 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Public Health England publishes resource pack for falls and fracture prevention

15/09/2017

Source: Chartered Society of Physiotherapists

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Date of publication: September 2017

Publication type: News article

In a nutshell: Public Health England has published a resource pack to accompany its falls and fracture consensus statement: supporting commissioning through prevention, published in January; the statement was developed by member organisations of the National Falls Prevention Coordination Group (NFPCG) with Agile, the older people’s physiotherapy network, representing the CSP.

Length of publication: 1 page


Welsh Ambulance Service distributes CSP’s falls prevention booklet

14/07/2017

Source: Chartered Society of Physiotherapists website

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Date of publication: June 2017

Publication type: News press release

In a nutshell: Patients using non-emergency transport vehicles in Wales are receiving copies of the CSP’s Get Up and Go booklet about how to avoid falls. ‘Developed by Saga in association with the CSP, it covers a range of falls prevention aspects and includes exercises for strength and balance, as well as guidance about getting up from a fall.’

Length of publication: 1 page


Does perturbation training prevent falls after discharge from stroke rehabilitation?

14/07/2017

Source: Journal of Stroke and Cerebro-Vascular Diseases, 2017, online

Follow this link for the abstract

Date of publication: June 2017

Publication type: Journal article

In a nutshell: Individuals with stroke fall frequently, and no exercise intervention has been shown to prevent falls post stroke. Perturbation-based balance training (PBT), which involves practicing reactions to instability, shows promise for preventing falls in older adults and individuals with Parkinson’s disease. This study aimed to determine if PBT during inpatient stroke rehabilitation can prevent falls after discharge into the community. These findings suggest that PBT is promising for reducing falls post stroke. While this was not a randomized controlled trial, this study may provide sufficient evidence for implementing PBT in stroke rehabilitation practice.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Evaluation of falls sensor technology in acute care

14/07/2017

Source: The Joint Commission Journal on Quality and Patient Safety, 2017, online

Follow this link for the abstract

Date of publication: June 2017

Publication type: Journal article

In a nutshell: Sensor technology that dynamically identifies hospitalized patients’ fall risk and detects and alerts nurses of high-risk patients’ early exits out of bed has potential for reducing fall rates and preventing patient harm. In this study, a sensor was evaluated on two inpatient medical units to study fall characteristics and then to assign patient fall probability. A fall detection sensor system affords a level of surveillance that standard fall alert systems do not have. Fall prevention remains a complex issue, but sensor technology is a viable fall prevention option.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Effects of an ICT-based fall-prevention system in community-dwelling older adults

16/06/2017

Source: International Journal of Human-Computer Studies, 2017, Vol 106 p. 10-25

Follow this link for the abstract

Date of publication: October 2017

Publication type: Journal article

In a nutshell: A sedentary lifestyle and low levels of physical activity are major factors in fall risk for older adults. ICT-based interventions could possibly counteract the risk for this group, as studies show that such interventions significantly reduce it. However, this population is heterogeneous, and several factors (such as gender, age, fitness and others) may influence the use of these systems. This study analyses the iStoppFalls system, testing effectiveness and usage indicators, among other things.

Length of publication: 15 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Effects of vibration training in reducing risk of slip-related falls among young adults with obesity

17/05/2017

Source: Journal of Biomechanics, 2017, online

Follow this link for the abstract

Date of publication: April 2017

Publication type: Journal article

In a nutshell: This study examined the effects of controlled whole-body vibration training on reducing risk of slip-related falls in obese people. Twenty-three young adults with obesity were randomly assigned into either the vibration or placebo group. Both groups were also exposed to a standardized slip induced by a treadmill during gait prior to and following the training. Dynamic stability and fall incidences responding to the slip were also assessed. The results indicated that vibration training significantly increased the muscle strength and improved dynamic stability control at recovery touchdown after the slip occurrence. Vibration-based training could be a promising alternative or additional modality to active exercise-based fall prevention programs for people with obesity.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


A hierarchical alarm model for elderly fall prevention sensors

17/05/2017

Source: Pervasive and Mobile Computing, 2017, online

Follow this link for the abstract

Date of publication: April 2017

Publication type: Journal article

In a nutshell: New technologies allow for automatic monitoring of hospitalised older people, helping clinical staff to supervise to reduce falls. This paper introduces a hierarchical model to predict alarming states in a sensor worn over clothes. The hierarchy predicts levels of danger to warn clinical staff of possible fall danger.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to  find your local NHS Library.


Experiences with fall prevention technology within nursing homes

27/01/2017

Source: Geriatric Nursing, 2016, Online

Follow this link for the abstract

Date of publication: December 2016

Publication type: Journal article

In a nutshell: This joint US and Dutch study investigated how existing fall prevention technology was experienced within nursing home nurses’ environment and workflow. Two case reports were constructed from interview and observational data comparing the magnitude of falls, safety cultures and technology characteristics/effectiveness. Across cases, 1) a coordinated communication system was essential in facilitating effective fall prevention alert response, and 2) nursing home safety culture is tightly associated with the chosen technological system.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to fid your local NHS Library.


CSP launches updated Falls Prevention Economic Model online

15/09/2016

Source: Chartered Society of Physiotherapists, 2016, online

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Date of publication: August 2016

Publication type: Website news item

In a nutshell: The latest version of the Falls Prevention Economic Model, with fresh data and research, is now live on the CSP’s website. It shows that across the UK there is potential to save 160,000 falls each year, equating to a cost saving of £25.2 million to NHS services. The CSP has produced a detailed guide to accompany the relaunched model. The guide includes examples of people using the model and is also available on the society’s website.

Length of publication: 1 page


Evaluation of the clinical utility of the Home Falls and Accidents Screening Tool (HOME FAST)

15/08/2016

Source: Disability and Rehabilitation 

Follow this link for the abstract

Date of publication: July 2016

Publication type: Journal article

In a nutshell: The HOME FAST was developed and trialled in Australia as a screening tool designed to be used by any health professional to identify older people at increased risk of falls and to facilitate referral for more detailed assessment and intervention. This study aimed to evaluate the clinical utility of the HOME FAST from the perspective of users.

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.

 


Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit

21/06/2016

Source: Automation in Construction, 2016, Vol 68 p. 194-202

Follow this link for the abstract

Date of publication: August 2016

Publication type: Journal article

In a nutshell: Accidental falls are the leading cause of injury and death in construction work. Near misses can provide valuable data about the causes as a proactive prevention measure, but collecting information can be challenging. This study aims to develop a method to automatically collect such data using wearable inertial measurement units, which could ultimately prevent fall accidents.

Length of publication: 8 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.