Literature DB >> 15494083

Automatic fall detectors and the fear of falling.

Simon Brownsell1, Mark S Hawley.   

Abstract

We studied the effect of automatic fall detection units on the fear of falling. Participants were community alarm users living in the community aged over 75 years or those aged 60-74 years who had experienced a fall in the previous six months. Of those approached, 31% consented to take part; the main reason given for potential participants declining involvement was that they were happy with the technology they already had. Subjects were assigned to a control group (n = 21) or intervention group (n = 34) based on age, the number of self-reported falls in the previous six months and their score on the self-administered Falls Efficacy Scale (FES), which measures fear of falling on a scale of 0-100, with higher scores indicating less fear. The monitoring period lasted a mean of 17 weeks (SD 3.1). There was no significant difference between the intervention and control groups in their mean ratings of fear of falls (40.3 vs 37.5, difference 2.8, 95% CI 6.2 to 11.8), health-related quality of life or morale. Differences in fear of falling between an intervention subgroup who wore their detector at least occasionally (62%) and those who did not (38%) suggested that some people may benefit from a fall detector while others may lose confidence if they are provided with one. Most users who wore their detectors at least occasionally felt more confident and independent and considered that the detector improved their safety.

Entities:  

Mesh:

Year:  2004        PMID: 15494083     DOI: 10.1258/1357633042026251

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  15 in total

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Journal:  Med Biol Eng Comput       Date:  2005-09       Impact factor: 2.602

Review 3.  Fall detection with body-worn sensors : a systematic review.

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4.  Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis.

Authors:  Christopher Predel; Cristian Timmermann; Frank Ursin; Marcin Orzechowski; Timo Ropinski; Florian Steger
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Review 5.  Challenges, issues and trends in fall detection systems.

Authors:  Raul Igual; Carlos Medrano; Inmaculada Plaza
Journal:  Biomed Eng Online       Date:  2013-07-06       Impact factor: 2.819

6.  It is always on your mind: experiences and perceptions of falling of older people and their carers and the potential of a mobile falls detection device.

Authors:  Veronika Williams; Christina R Victor; Rachel McCrindle
Journal:  Curr Gerontol Geriatr Res       Date:  2013-12-23

7.  Effectiveness of light paths coupled with personal emergency response systems in preventing functional decline among the elderly.

Authors:  Florent Lachal; Achille Edem Tchalla; Noëlle Cardinaud; Isabelle Saulnier; Hichem Nessighaoui; Cécile Laubarie-Mouret; Thierry Dantoine
Journal:  SAGE Open Med       Date:  2016-08-30

8.  Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90.

Authors:  Jane Fleming; Carol Brayne
Journal:  BMJ       Date:  2008-11-17

9.  The Effect of Personalization on Smartphone-Based Fall Detectors.

Authors:  Carlos Medrano; Inmaculada Plaza; Raúl Igual; Ángel Sánchez; Manuel Castro
Journal:  Sensors (Basel)       Date:  2016-01-18       Impact factor: 3.576

Review 10.  Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Authors:  Ramesh Rajagopalan; Irene Litvan; Tzyy-Ping Jung
Journal:  Sensors (Basel)       Date:  2017-11-01       Impact factor: 3.576

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