Using Ambient Assisted Living to Monitor Older Adults With Alzheimer Disease: Single-Case Study to Validate the Monitoring Report (Preprint)

Author:

Lussier MaximeORCID,Aboujaoudé AlineORCID,Couture MélanieORCID,Moreau MaximORCID,Laliberté CatherineORCID,Giroux SylvainORCID,Pigot HélèneORCID,Gaboury SébastienORCID,Bouchard KévinORCID,Belchior PatriciaORCID,Bottari CarolinaORCID,Paré GuyORCID,Consel CharlesORCID,Bier NathalieORCID

Abstract

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.

Publisher

JMIR Publications Inc.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A distributable event-oriented architecture for activity recognition in smart homes;Journal of Reliable Intelligent Environments;2021-01-16

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