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.


The effectiveness of intervention programs for preventing patients from falls

16/06/2017

Source: Kontakt, 2017, online

Follow this link for the abstract

Date of publication: May 2017

Publication type: Journal article

In a nutshell: This is a review article to summarise the conclusions of different studies about the effectiveness of hospital fall prevention programmes from the last five years. Twelve studies made it into the final review, and the most mentioned strategy was education of patients and staff. Effectiveness depends on factors like compliance, leadership, team training and IT support, amongst others.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the 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.


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.


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.


Freda’s Fall – an innovative e-learning film on falls management

21/04/2016

Source: The Academy of NHS Fabulous Stuff, 2016

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Date of publication: March 2016

Publication type: Website article

In a nutshell: Freda’s Fall is a free-to-access, interactive e-learning film focused on the prevention and management of falls, funded by Health Education England North West London, as part of development of a Community Education Provider Network (CEPN) called ALIGN (An Allied Health Professions Innovative Learning Network in Falls Management and developed by the Allied Health Enterprise Development Centre), a joint venture between Buckinghamshire New University and Allied Health Solutions

Length of publication: 1 page


Identifying falling hazards in older adult homes using digital photography

15/10/2015

Source: Preventive Medicine Reports, 2015, Vol 2 p. 794-797

Follow this link for the abstract

Date of publication: 2015

Publication type: Journal article

In a nutshell: Evaluation and removal of home hazards is an invaluable method for preventing in-home falls and preserving independent living. Current processes for conducting home hazard assessments are impractical from a whole population standpoint given the substantial resources required for implementation. Digital photography offers an opportunity to remotely evaluate an environment for falling hazards.  However, reliability of this method has only been tested under the direction of skilled therapists. This study showed that non-therapists can reliably conduct home hazard evaluations using digital photographs.

Length of publication: 3 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.


Unobtrusive monitoring and identification of fall accidents

17/04/2015

Source: Medical Engineering and Physics, 2015, online

Follow this link for the abstract

Date of publication: March 2015

Publication type: Journal article

In a nutshell: The practical use of fall monitoring equipment is limited due to accuracy, usability, cost and the possible stigma attached to them. This paper proposes a fall sensor concept that can be embedded in the user’s footwear. It discusses algorithms, software and hardware developed. Software performance is illustrated using results of a series of functional tests, which show that the developed sensor can be used for the accurate measurement of various mobility and gait parameters and that falls are detected accurately.

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.


Video footage and fall-incidence reports in long-term care.

19/03/2015

Source: Journal of the American Medical Directors Association, 2015, Online

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Date of publication: February 2015

Publication type: Journal article

In a nutshell: This study looked into how much agreement there was between reports of falls in long-term care facilities and video footage of the falls over a six year period. There was agreement between video footage and reports under half of the time. These technologies incorporating video capture or wearable sensors can improve our ability to understand the mechanisms involved in falls and to improve the prevention of falls in long-term care facilities.

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.


Posture estimation and human support using wearable sensors and walking-aid robot

15/01/2015

Source: Robotics and Autonomous Systems, 2014, online

Follow this link for the abstract

Date of publication: December 2014

Publication type: Journal article

In a nutshell: This paper introduces a walking-aid robot that can automatically detect when a human, wearing sensors, is about to fall and act to stop it from happening. The robot takes reading of centre of pressure and centre of gravity from the person to predict possible falls and act accordingly.

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.


An interactive voice response system for identifying older adults’ falls

15/01/2015

Source: Preventive medicine, 2015, Vol 71, p. 31-36

Follow this link for the abstract

Date of publication: February 2015

Publication type: Journal article

In a nutshell: Interactive voice response systems can collect data from a wide geographical area very easily and frequently. This study assessed the quality of the data collected from older people participating in a falls prevention programme evaluation in Pennsylvania. IVR was found to be a productive method of collecting data for falls research. Future research needs to establish the level of personal contact required to increase IVR completion rates.

Length of publication: 5 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.