Evidence map›Paper›PMID 33718585›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2021

Performance-based IADL evaluation of older adults with cognitive impairment within a smart home: A feasibility study.

Iris Rawtaer, Khalid Abdul Jabbar, Xiao Liu, Thit Thit Htat Ying, Anh Thuy Giang, Philip Lin Kiat Yap, Rachael Chin Yee Cheong, Hwee Pink Tan, Pius Lee, Shiou Liang Wee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Iris RawtaerGeriatric Education and Research Institute (GERI) Singapore Singapore.
Khalid Abdul JabbarGeriatric Education and Research Institute (GERI) Singapore Singapore.ORCID https://orcid.org/0000-0002-9620-2875
Xiao LiuGeriatric Education and Research Institute (GERI) Singapore Singapore.
Thit Thit Htat YingGeriatric Education and Research Institute (GERI) Singapore Singapore.
Anh Thuy GiangRehabilitation Department Khoo Teck Puat Hospital Singapore Singapore.
Philip Lin Kiat YapGeriatric Education and Research Institute (GERI) Singapore Singapore.
Rachael Chin Yee CheongGeriatric Education and Research Institute (GERI) Singapore Singapore.
Hwee Pink TanSchool of Information Systems Singapore Management University Singapore Singapore.
Pius LeeSchool of Information Systems Singapore Management University Singapore Singapore.
Shiou Liang WeeGeriatric Education and Research Institute (GERI) Singapore Singapore.
Tze Pin NgGeriatric Education and Research Institute (GERI) Singapore Singapore.
Geriatric Education and Research Institute · SGKhoo Teck Puat Hospital · SGSingapore Management University · SGNational University of Singapore · SGSingapore Institute of Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMild cognitive impairment (MCI) is characterized by subtle deficits that functional assessment via informant-report measures may not detect. Sensors can potentially detect deficits in everyday functioning in MCI. This study aims to establish feasibility and acceptability of using sensors in a smart home for performance-based assessments of two instrumental activities of daily living (IADLs).

methodsThirty-five older adults (>65 years) performed two IADL tasks in a smart home laboratory equipped with sensors and a web camera. Participants' cognitive states were determined using published criteria including measures of global cognition and comprehensive neuropsychological test batteries. Selected subtasks of the IADL assessment were autonomously captured by the sensors. Total time taken for each task and subtask were computed. A point scoring system captured accuracy and number of attempts. Acceptability of the smart home setup was assessed.

resultsParticipants with MCI (n = 21) took longer to complete both tasks than participants with healthy cognition (HC; n = 14), with significant time differences observed only in "Cost calculation." Completion time for IADL tasks and scores correlated in the expected direction with global cognition. Over 95% of the participants found the smart home assessment acceptable and a positive experience. DISCUSSION: We demonstrated the feasibility and acceptability of the use of unobtrusive commercially available sensors in a smart home for facilitating parts of the objective assessment of IADL in older adults. Future studies need to identify more IADLs that are suitable for semi-automated or automated assessments through the use of simple, low-cost sensors.

Indexed as

early detectioninstrumental activities of daily livingmild cognitive impairmentsensorssmart home

Identifiers

PMID33718585
PMCPMC7927161
OpenAlexW3133762964

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.