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Using ambient assisted living to monitor older adults with Alzheimer disease: single-case study to validate the monitoring report

Lussier Maxime, Aboujaoudé Aline, Couture Mélanie, Moreau Maxim, Laliberté Catherine, Giroux Sylvain, Pigot Hélène, Gaboury Sébastien, Bouchard Kévin, Belchior Patricia, Bottari Carolina, Paré Guy, Consel Charles et Bier Nathalie. (2020). Using ambient assisted living to monitor older adults with Alzheimer disease: single-case study to validate the monitoring report. JMIR Medical Informatics, 8, (11), e20215.

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URL officielle: http://dx.doi.org/doi:10.2196/20215

Résumé

Background : Many older adults choose to live independently in their homes for as long as possible, despite psychosocial and medical conditions that compromise their independence in daily living and safety. Faced with unprecedented challenges in allocating resources, home care administrators are increasingly open to using monitoring technologies known as ambient assisted living (AAL) to better support care recipients. To be effective, these technologies should be able to report clinically relevant changes to support decision making at an individual level.

Objective : The aim of this study is to examine the concurrent validity of AAL monitoring reports and information gathered by care professionals using triangulation.

Methods: This longitudinal single-case study spans over 490 days of monitoring a 90-year-old woman with Alzheimer disease receiving support from local health care services. A clinical nurse in charge of her health and social care was interviewed 3 times during the project. Linear mixed models for repeated measures were used to analyze each daily activity (ie, sleep, outing activities, periods of low mobility, cooking-related activities, hygiene-related activities). Significant changes observed in data from monitoring reports were compared with information gathered by the care professional to explore concurrent validity.

Results : Over time, the monitoring reports showed evolving trends in the care recipient’s daily activities. Significant activity changes occurred over time regarding sleep, outings, cooking, mobility, and hygiene-related activities. Although the nurse observed some trends, the monitoring reports highlighted information that the nurse had not yet identified. Most trends detected in the monitoring reports were consistent with the clinical information gathered by the nurse. In addition, the AAL system detected changes in daily trends following an intervention specific to meal preparation.

Conclusions : Overall, trends identified by AAL monitoring are consistent with clinical reports. They help answer the nurse’s questions and help the nurse develop interventions to maintain the care recipient at home. These findings suggest the vast potential of AAL technologies to support health care services and aging in place by providing valid and clinically relevant information over time regarding activities of daily living. Such data are essential when other sources yield incomplete information for decision making.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2291-9694
Volume:8
Numéro:11
Pages:e20215
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.2196/20215
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences de la santé > Sciences médicales > Gériatrie-gérontologie
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:activities of daily living, aging, Alzheimer disease, ambient assisted living, health care, technology assessment, health, remote sensing technology
Déposé le:08 févr. 2021 23:58
Dernière modification:08 févr. 2021 23:58
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