Evidence map›Paper›PMID 33185555›Full record

ArticleJMIR medical informatics2020

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

Maxime Lussier, Aline Aboujaoudé, Mélanie Couture, Maxim Moreau, Catherine Laliberté, Sylvain Giroux, Hélène Pigot, Sébastien Gaboury, Kévin Bouchard, Patricia Belchior and 4 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  14. Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults.International journal of environmental research and public health · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Maxime Lussier *Research Center of Institut universitaire de gériatrie de Montréal, Integrated Health and Social Services University Network for South-Central Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-2753-1189
Aline AboujaoudéResearch Center of Institut universitaire de gériatrie de Montréal, Integrated Health and Social Services University Network for South-Central Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-6142-3611
Mélanie CoutureIntegrated Health and Social Services University Network for West-Central Montreal, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0002-0088-3865
Maxim MoreauResearch Chair in Digital Health, High Commercial Studies of Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-7220-8308
Catherine LalibertéFaculty of Sciences and Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0002-0342-7873
Sylvain GirouxFaculty of Sciences and Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0003-0602-5957
Hélène PigotFaculty of Sciences and Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID https://orcid.org/0000-0001-5520-5677
Sébastien GabouryDepartment of Mathematics and Computer Science, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada.ORCID https://orcid.org/0000-0001-7749-3470
Kévin BouchardDepartment of Mathematics and Computer Science, Université du Québec à Chicoutimi, Chicoutimi, QC, Canada.ORCID https://orcid.org/0000-0002-5227-6602
Patricia BelchiorResearch Center of Institut universitaire de gériatrie de Montréal, Integrated Health and Social Services University Network for South-Central Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-0168-1517
Carolina BottariSchool of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-2242-8369
Guy ParéResearch Chair in Digital Health, High Commercial Studies of Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-7425-1994
Charles ConselBordeaux Institute of Technology & Inria, Bordeaux, France.ORCID https://orcid.org/0000-0001-8851-9357
Nathalie BierResearch Center of Institut universitaire de gériatrie de Montréal, Integrated Health and Social Services University Network for South-Central Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-2940-694X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany 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.

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

methodsThis 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.

resultsOver 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.

conclusionsOverall, 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.

Indexed as

activities of daily livingagingAlzheimer diseaseambient assisted livinghealthhealth careremote sensing technologytechnology assessment

Identifiers

PMID33185555
PMCPMC7695528

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.