Evidence map›Paper›PMID 39391022›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Technology-based instrumental activities of daily living in persons with Alzheimer's disease and related disorders.

Jared F Benge, Arsh Ali, Neha Chandna, Noor Rana, Rachel Mis, David A González, Andrew M Kiselica, Michael K Scullin, Robin C Hilsabeck

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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
–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

5 citing papers in PubMed.

  1. Article
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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

9 authors.

Jared F BengeDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.ORCID https://orcid.org/0000-0001-6201-3278
Arsh AliDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.
Neha ChandnaDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.
Noor RanaDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.
Rachel MisDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.
David A GonzálezDepartment of Neurological Sciences Rush University Medical Center Chicago Illinois USA.
Andrew M KiselicaDepartment of Health Psychology University of Missouri Columbia Missouri USA.
Michael K ScullinDepartment of Psychology and Neuroscience Baylor University Waco Texas USA.
Robin C HilsabeckDepartment of Neurology Dell Medical School University of Texas at Austin Austin Texas USA.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Daniella Meeker · 2019 to 2026
$125.9M
Smartphone-Based Solutions for Prospective Memory in Mild Cognitive Impairment and DementiaR01AG082783 · NIA · BAYLOR UNIVERSITY · PI BENGE, JARED F, SCULLIN, MICHAEL K · 2023 to 2025
$2.2M
NIA NIH HHS R01 AG082783NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

introductionInstrumental activities of daily living (iADLs) increasingly involve technology (e.g., making payments online, texting). The current study examined the applicability and diagnostic accuracy of technology-based iADLs in those evaluated for Alzheimer's disease and related dementias (ADRD).

methodsA total of 264 care partners of persons undergoing comprehensive interdisciplinary evaluations completed the Functional Activities Questionnaire and 11 technology-based iADL items.

resultsTechnology-based iADLs applied to more than 80% of patients. Average dependence on technology-based items was overall less than for traditional iADLs. The addition of technology-based items to traditional iADL items slightly improved the ability to identify individuals with dementia. When considered separately, technology-based iADL items demonstrated comparable ability to distinguish between diagnostic stages. DISCUSSION: Technology use is common in older adults with ADRD for a range of daily activities. Accounting for technology use increases the content validity of existing iADL measures for the modern context and yields comparable diagnostic accuracy. Highlights: Technology use is often integral to daily activity performance for individuals with Alzheimer's disease and related dementias (ADRD).Daily technologies, such as smartphones, were used frequently by those with ADRD.Many individuals were less dependent on technology activities than traditional activities.Adding technology questions slightly increased diagnostic accuracy for detecting dementia.

Indexed as

computer usedementia diagnosis and staginginstrumental activities of daily livinginternet activitiespasswordssmartphonetechnology

Identifiers

PMID39391022
PMCPMC11465837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.