Evidence map›Paper›PMID 39893628›Full record

ArticleDisability and rehabilitation. Assistive technology2025

Characterizing the attitudes, proficiency, and usage patterns for daily technology among older adults with a cognitive impairment.

Xin Yao Lin, Walter Boot, Neil Charness, Sara J Czaja, Wendy Rogers

Abstract read
In one paragraph

Article in Disability and rehabilitation. Assistive technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Maintenance of Technology-Based Functional Skills Training Gains in Older Participants With and Without Mild Cognitive Impairment: The Role of Booster Training.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Trial
  2. Looking Beyond the Screen to Study the Technology Use of Older People Experiencing Cognitive Concerns.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
  3. Article
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

5 authors.

Xin Yao LinDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-1244-5387
Walter BootDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, USA.
Neil CharnessDepartment of Psychology, Florida State University, Tallahassee, FL, USA.ORCID 0000-0002-1002-3439
Sara J CzajaDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-8096-5413
Wendy RogersCollege of Applied Health Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-0787-2130

Funding

The Weill Cornell Medicine Research Training Program in Behavioral GeriatricsT32AG049666 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI SARA J CZAJA, Manney Carrington Reid · 2016 to 2026
$3.2M
ACL HHS 90REGE0012NIA NIH HHS T32 AG049666
6 · The paper itself

Abstract

purposeOlder adults with a cognitive impairment may be challenged by the demands associated with technology systems used to support everyday activities. We investigated technology attitudes, proficiency, and usage across the domains of health, social, transportation, leisure, and domestic activities among older adults with mild cognitive impairment, traumatic brain injury, and post-stroke cognitive impairment. We examined whether age, gender, health, cognition, or technology attitudes (comfort, interest, efficacy) predicted technology proficiency and usage patterns. All variables were measured with validated questionnaires. MATERIALS AND

methodsParticipants (

resultsThe participants were largely proficient in using technologies and had generally positive attitudes toward technology. Usage patterns varied across domains, with participants most engaged in technology uses to support social and domestic activities, followed by health activities. Technology was used least frequently to support transportation and leisure activities. Findings highlighted the complex interplay of demographic factors, cognition, and attitudes towards technologies in shaping older adults with cognitive impairments' adoption and use of technology across the various domains. Older age was associated with lower technology use, whereas positive attitudes towards technology (interest, comfort, and efficacy) were associated with higher use. Gender differences were evident in social, domestic, and leisure technology domains.

conclusionThese findings underscore that older adults with a cognitive impairment can use and are receptive towards technology. The findings provide valuable insights for tailoring interventions to meet the needs and preferences of older adults with a cognitive impairment.

Indexed as

Activities of Daily LivingCognitive DysfunctionSelf-Help DevicesAgedAged, 80 and overBrain Injuries, TraumaticFemaleHumansLeisure ActivitiesMaleMiddle AgedSurveys and QuestionnairesdomestichealthleisureMild cognitive impairment (MCI)post-stroke cognitive impairment (PSCI)social(TBI)transportation

Identifiers

PMID39893628
PMCPMC12316986

What OpenQuestion holds

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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.