Literature DB >> 11027119

Do community alarm users want telecare?

S J Brownsell1, D A Bradley, R Bragg, P Catlin, J Carlier.   

Abstract

Previous surveys have suggested that community alarm users are in general satisfied with the service provided. However, there is also evidence that users would like additional options that could be provided by a telecare system. Inner-city users of community alarms were consulted about their current systems and the extension of these to incorporate telecare options. The users lived in 160 homes in three multistorey apartment blocks. The average age of the 176 users surveyed was 76 years. Seventy-seven per cent of users were interested in automatic fall detection, 68% in lifestyle monitoring, 57% in telemedicine and 46% in videoconferencing. Nineteen of those interviewed (11%) did not want any of the suggested enhancements. The survey showed that elderly people are not technophobes, since 58% possessed either a microwave oven or a video-recorder, and also showed that the majority were prepared to accept new technologies that would support their independence.

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Year:  2000        PMID: 11027119     DOI: 10.1258/1357633001935356

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


  5 in total

1.  Unobtrusive In-Home Monitoring of Cognitive and Physical Health: Reactions and Perceptions of Older Adults.

Authors:  Katherine Wild; Linda Boise; Jay Lundell; Anna Foucek
Journal:  J Appl Gerontol       Date:  2008

Review 2.  Fall detection devices and their use with older adults: a systematic review.

Authors:  Shomir Chaudhuri; Hilaire Thompson; George Demiris
Journal:  J Geriatr Phys Ther       Date:  2014 Oct-Dec       Impact factor: 3.381

3.  Smartphone-based solutions for fall detection and prevention: challenges and open issues.

Authors:  Mohammad Ashfak Habib; Mas S Mohktar; Shahrul Bahyah Kamaruzzaman; Kheng Seang Lim; Tan Maw Pin; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-04-22       Impact factor: 3.576

4.  SisFall: A Fall and Movement Dataset.

Authors:  Angela Sucerquia; José David López; Jesús Francisco Vargas-Bonilla
Journal:  Sensors (Basel)       Date:  2017-01-20       Impact factor: 3.576

5.  Fall incidents unraveled: a series of 26 video-based real-life fall events in three frail older persons.

Authors:  Ellen Vlaeyen; Mieke Deschodt; Glen Debard; Eddy Dejaeger; Steven Boonen; Toon Goedemé; Bart Vanrumste; Koen Milisen
Journal:  BMC Geriatr       Date:  2013-10-04       Impact factor: 3.921

  5 in total

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