Evidence map›Paper›PMID 40739178›Full record

Observational studyBMC geriatrics2025

Technology readiness among UK-based cognitively unaffected older adults during the COVID-19 pandemic: potential implications for decentralised alzheimer's disease prevention trials.

S Taylor, L Dunn, C Udeh-Momoh, K Abbott, P Giannakopoulou, L Middleton, O Robinson, J Kalsi, D Kafetsouli, J Ford

Registry-linked trialAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02114372 (Cognitive Health in Ageing Register), which is not on this map. Not yet cited in PubMed.

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

NCT02114372 completednot on this map

Cognitive Health in Ageing Register: Investigational, Observational and Trial Studies in Dementia Research (CHARIOT): Prospective Readiness Cohort Study (PRO)

TypeobservationalSponsorJanssen Research & Development, LLCRan2014 to 2024Enrolled1,136ConditionsAlzheimer's Disease, Plaque, Amyloid
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

S TaylorAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
L DunnAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
C Udeh-MomohSchool of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
K AbbottAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
P GiannakopoulouAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
L MiddletonAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
O RobinsonAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
J KalsiAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
D KafetsouliAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
J FordAgeing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK. j.ford@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) remains a global health and socioeconomic burden. Telemedicine has been more widely used since the beginning of the COVID-19 pandemic and may be an effective strategy to mitigate the rising costs associated with AD. This study aimed to assess technology readiness among older adults at risk of developing dementia, with the goal of informing the design and delivery of technology-based approaches in AD prevention research.

methodsCognitively unaffected older adults (n = 226) from the CHARIOT PRO Substudy were invited to complete the CHARIOT Technology Questionnaire (CTQ). CTQ assessed technology experiences and attitudes, including 'technology readiness' via the Technology Readiness Index (TRI).

resultsFemale participants scored, on average, lower TRI (M = 27.50, SD = 6.87) compared to males (M = 29.50, SD = 6.02). Furthermore, age predicted levels of technology readiness. Exploratory factor analysis determined two factors: "Technology Competence" (Factor 1) and "Technology Trepidation" (Factor 2). Gender differences were found for "Technology Competence" (but not "Technology Trepidation"), and age predicted "Technology Trepidation" (but not "Technology Competence"). DISCUSSION: Differences in gender, age, "Technology Competence", and "Technology Trepidation" may highlight those who need additional study and/or support in remote-based AD dementia prevention trials.

conclusionsCOVID-19 has accelerated our adoption of 'digitalisation' in AD dementia research. A deeper understanding of the barriers to technology readiness may help inform future AD research studies.

trial registrationThe CHARIOT PRO SubStudy is registered with clinicaltrials.gov (NCT02114372).

Indexed as

Alzheimer DiseaseCOVID-19TelemedicineAgedAged, 80 and overFemaleHumansMalePandemicsSARS-CoV-2Surveys and QuestionnairesUnited KingdomAlzheimer’s diseaseCOVID-19DementiaOlder AdultsTechnologyTelemedicine

Identifiers

PMID40739178
PMCPMC12312505

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.