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Does telecare prolong community living in dementia? A study protocol for a pragmatic, randomised controlled trial

Overview of attention for article published in Trials, October 2013
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Title
Does telecare prolong community living in dementia? A study protocol for a pragmatic, randomised controlled trial
Published in
Trials, October 2013
DOI 10.1186/1745-6215-14-349
Pubmed ID
Authors

Iracema Leroi, John Woolham, Rebecca Gathercole, Robert Howard, Barbara Dunk, Chris Fox, John O’Brien, Andrew Bateman, Fiona Poland, Peter Bentham, Alistair Burns, Anna Davies, Kirsty Forsyth, Richard Gray, Martin Knapp, Stanton Newman, Rupert McShane, Craig Ritchie

Abstract

Assistive technology and telecare (ATT) are relatively new ways of delivering care and support to people with social care needs. It is claimed that ATT reduces the need for community care, prevents unnecessary hospital admission, and delays or prevents admission into residential or nursing care. The current economic situation in England has renewed interest in ATT instead of community care packages. However, at present, the evidence base to support claims about the impact and effectiveness of ATT is limited, despite its potential to mitigate the high financial cost of caring for people with dementia and the social and psychological cost to unpaid carers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 1%
United Kingdom 2 <1%
Colombia 1 <1%
Switzerland 1 <1%
Italy 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 289 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 17%
Researcher 47 16%
Student > Ph. D. Student 40 13%
Student > Bachelor 24 8%
Student > Doctoral Student 19 6%
Other 52 17%
Unknown 65 22%
Readers by discipline Count As %
Medicine and Dentistry 57 19%
Nursing and Health Professions 45 15%
Psychology 43 14%
Social Sciences 37 12%
Computer Science 10 3%
Other 37 12%
Unknown 70 23%