Literature DB >> 21660088

Technology Innovation Enabling Falls Risk Assessment in a Community Setting.

Cliodhna Ni Scanaill, Chiara Garattini, Barry R Greene, Michael J McGrath.   

Abstract

Approximately one in three people over the age of 65 will fall each year, resulting in significant financial, physical, and emotional cost on the individual, their family, and society. Currently, falls are managed using on-body sensors and alarm pendants to notify others when a falls event occurs. However these technologies do not prevent a fall from occurring. There is now a growing focus on falls risk assessment and preventative interventions. Falls risk is currently assessed in a clinical setting by expert physiotherapists, geriatricians, or occupational therapists following the occurrence of an injurious fall. As the population ages, this reactive model of care will become increasingly unsatisfactory, and a proactive community-based prevention strategy will be required. Recent advances in technology can support this new model of care by enabling community-based practitioners to perform tests that previously required expensive technology or expert interpretation. Gait and balance impairment is one of the most common risk factors for falls. This paper reviews the current technical and non-technical gait and balance assessments, discusses how low-cost technology can be applied to objectively administer and interpret these tests in the community, and reports on recent research where body-worn sensors have been utilized. It also discusses the barriers to adoption in the community and proposes ethnographic research as a method to investigate solutions to these barriers.

Entities:  

Year:  2010        PMID: 21660088      PMCID: PMC3092941          DOI: 10.1007/s12126-010-9087-7

Source DB:  PubMed          Journal:  Ageing Int        ISSN: 0163-5158


  24 in total

Review 1.  Epidemiology of falls.

Authors:  T Masud; R O Morris
Journal:  Age Ageing       Date:  2001-11       Impact factor: 10.668

2.  Fixing health care on the front lines.

Authors:  Richard M J Bohmer
Journal:  Harv Bus Rev       Date:  2010-04

3.  Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance.

Authors:  Ross A Clark; Adam L Bryant; Yonghao Pua; Paul McCrory; Kim Bennell; Michael Hunt
Journal:  Gait Posture       Date:  2009-12-11       Impact factor: 2.840

4.  Longitudinal falls-risk estimation using triaxial accelerometry.

Authors:  Michael R Narayanan; Stephen J Redmond; Maria Elena Scalzi; Stephen R Lord; Branko G Celler; Nigel H Lovell Ast
Journal:  IEEE Trans Biomed Eng       Date:  2009-09-29       Impact factor: 4.538

5.  Falls efficacy as a measure of fear of falling.

Authors:  M E Tinetti; D Richman; L Powell
Journal:  J Gerontol       Date:  1990-11

6.  The measurement properties and performance characteristics among older people of TURN180, a test of dynamic postural stability.

Authors:  C Fitzpatrick; J M Simpson; J D Valentine; S Ryder; T Peacock-Edwards; P Sidnell; M Colognese
Journal:  Clin Rehabil       Date:  2005-06       Impact factor: 3.477

7.  Alarming rise in the number and incidence of fall-induced cervical spine injuries among older adults.

Authors:  Pekka Kannus; Mika Palvanen; Seppo Niemi; Jari Parkkari
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-02       Impact factor: 6.053

8.  Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring.

Authors:  Arash Salarian; Heike Russmann; François J G Vingerhoets; Catherine Dehollain; Yves Blanc; Pierre R Burkhard; Kamiar Aminian
Journal:  IEEE Trans Biomed Eng       Date:  2004-08       Impact factor: 4.538

9.  Evaluation of an ambulatory system for gait analysis in hip osteoarthritis and after total hip replacement.

Authors:  K Aminian; C Trevisan; B Najafi; H Dejnabadi; C Frigo; E Pavan; A Telonio; F Cerati; E C Marinoni; Ph Robert; P-F Leyvraz
Journal:  Gait Posture       Date:  2004-08       Impact factor: 2.840

Review 10.  Interventions for preventing falls in older people living in the community.

Authors:  Lesley D Gillespie; M Clare Robertson; William J Gillespie; Sarah E Lamb; Simon Gates; Robert G Cumming; Brian H Rowe
Journal:  Cochrane Database Syst Rev       Date:  2009-04-15
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  6 in total

Review 1.  Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people.

Authors:  T Shany; S J Redmond; M Marschollek; N H Lovell
Journal:  Z Gerontol Geriatr       Date:  2012-12       Impact factor: 1.281

Review 2.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

3.  Test-retest reliability of a pendant-worn sensor device in measuring chair rise performance in older persons.

Authors:  Wei Zhang; G Ruben H Regterschot; Hana Schaabova; Heribert Baldus; Wiebren Zijlstra
Journal:  Sensors (Basel)       Date:  2014-05-16       Impact factor: 3.576

4.  Diagnostic test accuracy of an automated device as a screening tool for fall risk assessment in community-residing elderly: A STARD compliant study.

Authors:  Greta Castellini; Silvia Gianola; Elena Stucovitz; Irene Tramacere; Giuseppe Banfi; Lorenzo Moja
Journal:  Medicine (Baltimore)       Date:  2019-09       Impact factor: 1.817

5.  Factors Influencing Falls in High- and Low-Risk Patients in a Tertiary Hospital in Korea.

Authors:  Young-Shin Lee; Eun-Ju Choi; Yeon-Hee Kim; Hyeoun-Ae Park
Journal:  J Patient Saf       Date:  2020-12       Impact factor: 2.243

6.  Predicting Falls in Parkinson Disease: What Is the Value of Instrumented Testing in OFF Medication State?

Authors:  Martina Hoskovcová; Petr Dušek; Tomáš Sieger; Hana Brožová; Kateřina Zárubová; Ondřej Bezdíček; Otakar Šprdlík; Robert Jech; Jan Štochl; Jan Roth; Evžen Růžička
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

  6 in total

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