Evidence map›Paper›PMID 38356396›Full record

ArticleThe British journal of psychiatry : the journal of mental science2024

The usability and reliability of a smartphone application for monitoring future dementia risk in ageing UK adults.

Graham Reid, Philip Vassilev, Jessica Irving, Triin Ojakäär, Liron Jacobson, Erin G Lawrence, Jenny Barnett, Malika Tapparel, Ivan Koychev

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In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Graham ReidDepartment of Psychiatry, University of Oxford, UK.ORCID 0000-0002-6079-9323
Philip VassilevFive Lives SAS, Tours, France.
Jessica IrvingFive Lives SAS, Tours, France.
Triin OjakäärFive Lives SAS, Tours, France; and Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
Liron JacobsonFive Lives SAS, Tours, France.
Erin G LawrenceFive Lives SAS, Tours, France; and Wolfson Institute of Population Health, Queen Mary University of London, UK.
Jenny BarnettFive Lives SAS, Tours, France; and Department of Psychiatry, University of Cambridge, UK.
Malika TapparelFive Lives SAS, Tours, France; and Department of Medicine, University of Fribourg, Switzerland.
Ivan KoychevDepartment of Psychiatry, University of Oxford, UK; and Five Lives SAS, Tours, France.

Funding

Medical Research Council MR/T033371/1MRF MR/T033371/1
6 · The paper itself

Abstract

backgroundThe rising number of dementia diagnoses and imminent adoption of disease-modifying treatments necessitate innovative approaches to identify individuals at risk, monitor disease course and intervene non-pharmacologically earlier in the disease course. Digital assessments of dementia risk and cognitive function have the potential to outperform traditional in-person assessments in terms of their affordability, accuracy and longitudinal tracking abilities. However, their accessibility and reliability in older adults is unclear.

aimsTo evaluate the usability and reliability of a smartphone assessment of lifestyle and cognitive factors relevant to dementia risk in a group of UK-based older adults.

methodCognitively healthy adults (

resultsParticipants found the app 'easy to use', 'quick to complete' and 'enjoyable'. The cognitive tests showed normal or near-to-normal distributions, variable test-retest reliabilities and age-related effects. Only tests of verbal ability showed gender and education effects. The cognitive tests did not correlate with lifestyle dementia risk scores.

conclusionsThe Five Lives assessment demonstrates high usability and reliability among older adults. These findings highlight the potential of digital assessments in dementia research and clinical practice, enabling improved accessibility and better monitoring of cognitive health on a larger scale than traditional in-person assessments.

Indexed as

DementiaMobile ApplicationsSmartphoneAgedAged, 80 and overAgingFemaleHumansLife StyleMaleMiddle AgedNeuropsychological TestsReproducibility of ResultsRisk AssessmentRisk FactorsUnited Kingdomclinical neurologyClinical outcomes measuresdementias/neurodegenerative diseasespatients/service usersrating scales

Identifiers

PMID38356396
PMCPMC11443166

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.