Literature DB >> 18213430

What do family caregivers of Alzheimer's disease patients desire in smart home technologies? Contrasted results of a wide survey.

V Rialle1, C Ollivet, C Guigui, C Hervé.   

Abstract

OBJECTIVES: The authors' aim was to investigate the representations, wishes, and fears of family caregivers (FCs) regarding 14 innovative technologies (IT) for care aiding and burden alleviation, given the severe physical and psychological stress induced by dementia care, and the very slow uptake of these technologies in our society.
METHODS: A cluster sample survey based on a self-administered questionnaire was carried out on data collected from 270 families of patients with Alzheimer's disease or related disorders, located in the greater Paris area. Multiple Correspondence Analysis was used in addition to usual statistical tests to identify homogenous FCs clusters concerning the appreciation or rejection of the considered technologies.
RESULTS: Two opposite clusters were clearly defined: FCs in favor of a substantial use of technology, and those rather or totally hostile. Furthermore the distributions of almost all the answers of appreciations were U-shaped. Significant relations were demonstrated between IT appreciation and FC's family or gender statuses (e.g., female FCs appreciated a tracking device for quick recovering of wandering patients more than male FCs: p = 0.0025, N = 195).
CONCLUSIONS: The study provides further evidence of the contrasted perception of technology in dementia care at home, and suggests the development of public debates based on rigorous assessment of practices and a strict ethical aim to protect against misuse.

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Mesh:

Year:  2008        PMID: 18213430

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  29 in total

Review 1.  Ethical challenges with welfare technology: a review of the literature.

Authors:  Bjørn Hofmann
Journal:  Sci Eng Ethics       Date:  2012-01-05       Impact factor: 3.525

2.  Recognizing independent and joint activities among multiple residents in smart environments.

Authors:  Geetika Singla; Diane J Cook; Maureen Schmitter-Edgecombe
Journal:  J Ambient Intell Humaniz Comput       Date:  2010-03-01

Review 3.  The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development.

Authors:  Qin Ni; Ana Belén García Hernando; Iván Pau de la Cruz
Journal:  Sensors (Basel)       Date:  2015-05-14       Impact factor: 3.576

4.  Discovering Activities to Recognize and Track in a Smart Environment.

Authors:  Parisa Rashidi; Diane J Cook; Lawrence B Holder; Maureen Schmitter-Edgecombe
Journal:  IEEE Trans Knowl Data Eng       Date:  2011       Impact factor: 6.977

5.  Predicting Air Quality in Smart Environments.

Authors:  Seun Deleawe; Jim Kusznir; Brian Lamb; Diane J Cook
Journal:  J Ambient Intell Smart Environ       Date:  2010

6.  A Behaviour Monitoring System (BMS) for Ambient Assisted Living.

Authors:  Samih Eisa; Adriano Moreira
Journal:  Sensors (Basel)       Date:  2017-08-24       Impact factor: 3.576

7.  Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments.

Authors:  Diane J Cook; Lawrence B Holder
Journal:  Data Min Knowl Discov       Date:  2011-07       Impact factor: 3.670

8.  Learning Setting-Generalized Activity Models for Smart Spaces.

Authors:  Diane J Cook
Journal:  IEEE Intell Syst       Date:  2010-09-09       Impact factor: 3.405

9.  Tracking Activities in Complex Settings Using Smart Environment Technologies.

Authors:  Geetika Singla; Diane J Cook; Maureen Schmitter-Edgecombe
Journal:  Int J Biosci Psychiatr Technol IJBSPT       Date:  2009-01-01

10.  Assessing the quality of activities in a smart environment.

Authors:  Diane J Cook; M Schmitter-Edgecombe
Journal:  Methods Inf Med       Date:  2009-05-15       Impact factor: 2.176

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