Evidence map›Paper›PMID 40496445›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Online46: Online cognitive assessments in elderly cohorts-The British 1946 birth cohort case study.

Ziyuan Cai, Valentina Giunchiglia, Rebecca Street, Martina Del Giovane, Kirsty Lu, Maria Popham, Andrew Wong, Heidi Murray-Smith, Marcus Richards, Sebastian Crutch and 3 more

Abstract read
PubMed Full text at PMC Publisher
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 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. Article
  2. 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

13 authors.

Ziyuan CaiDepartment of Brain Sciences, Imperial College London, Burlington Danes The Hammersmith Hospital London UK.ORCID https://orcid.org/0009-0008-3910-7389
Valentina GiunchigliaDepartment of Brain Sciences, Imperial College London, Burlington Danes The Hammersmith Hospital London UK.
Rebecca StreetDepartment of Neurodegenerative Disease The Dementia Research Centre, UCL Queen Square Institute of Neurology University College London London UK.
Martina Del GiovaneDepartment of Brain Sciences, Imperial College London, Burlington Danes The Hammersmith Hospital London UK.
Kirsty LuDepartment of Neurodegenerative Disease The Dementia Research Centre, UCL Queen Square Institute of Neurology University College London London UK.
Maria PophamMRC Unit for Lifelong Health and Ageing University College London London UK.
Andrew WongMRC Unit for Lifelong Health and Ageing University College London London UK.
Heidi Murray-SmithDepartment of Neurodegenerative Disease The Dementia Research Centre, UCL Queen Square Institute of Neurology University College London London UK.
Marcus RichardsMRC Unit for Lifelong Health and Ageing University College London London UK.
Sebastian CrutchDepartment of Neurodegenerative Disease The Dementia Research Centre, UCL Queen Square Institute of Neurology University College London London UK.
Peter J HellyerDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience King's College London London UK.
Jonathan M SchottDepartment of Neurodegenerative Disease The Dementia Research Centre, UCL Queen Square Institute of Neurology University College London London UK.
Adam HampshireDepartment of Brain Sciences, Imperial College London, Burlington Danes The Hammersmith Hospital London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOnline assessments are scalable and cost effective for detecting cognitive changes, especially in elderly cohorts with limited mobility and higher vulnerability to neurological conditions. However, determining the uptake, adherence, and usability of these assessments in older adults, who may have less experience with mobile devices, is crucial.

methodsA total of 1776 members (aged 77) of the Medical Research Council National Survey of Health and Development (NSHD) were invited to complete 13 online cognitive tasks. Adherence was measured through task compliance, while uptake (consent, attempt, completion) was linked to health and sociodemographic factors. Usability was evaluated through qualitative feedback.

resultsThis study's consent (56.9%), attempt (80.5%), and completion (88.8%) rates are comparable to supervised NSHD substudies. Significant predictors of uptake included education, sex, handedness, cognitive scores, weight, smoking, alcohol consumption, and disease burden. DISCUSSION: With key recommendations followed, online cognitive assessments are feasible, with good adherence and usability in older adults. Highlights: Online cognitive tasks have good uptake, adherence, and usability in older adults.Education, previous cognitive scores, and alcohol consumption predict consent.Alcohol consumption and weight are related to attempting an assessment.Sex, smoking, and disease burden are associated with completion.Protocol challenges and recommendations are identified through qualitative analysis.

Indexed as

birth cohortcognitive taskcomplianceelderly cohortonline assessmentparticipationqualitative feedback

Identifiers

PMID40496445
PMCPMC12149437

What OpenQuestion holds

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LicenceCC BY
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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.