Evidence map›Paper›PMID 42116097›Full record

ArticleBMC health services research2026

Stakeholder perspectives on the potential benefits, risks, and implications of an interactive cognitive monitoring app for the identification and monitoring of cognitive decline in adults at risk of dementia.

Daim Syukriyah, Claire Hulme, Chris Davis, David J Llewellyn, Louise Allan, Dag Aarsland, Clive Ballard, Chris Fox, Sarah E Lamb, Anne Corbett

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

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.

Daim SyukriyahDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK. d.syukriyah@exeter.ac.uk.ORCID http://orcid.org/0000-0003-3820-0932
Claire HulmeDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Chris DavisDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
David J LlewellynDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Louise AllanDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Dag AarslandCentre for Healthy Brain Ageing, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Clive BallardDepartment of Clinical & Biomedical Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Chris FoxDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Sarah E LambDepartment of Public Health and Sports Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.
Anne CorbettDepartment of Health & Community Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK.

Funding

NIHR Healthtech Research National Coordinating Centre NIHR207556, NIHR Healthtech Research Centre in Sustainable Medical Technology NIHR205282 NIHR207556, NIHR205282NIHR REACTIVE Programme NIHR204284NIHR REACTIVE Programme NIHR204284, NIHR Exeter Biomedical Research Centre, NIHR HealthTech Research Centre in Brain Health NIHR204284NIHR REACTIVE Programme, NIHR Exeter Biomedical Research Centre NIHR204284
6 · The paper itself

Abstract

backgroundComputerised cognitive testing offers potential for large-scale cognitive assessment and may support the identification and monitoring of early cognitive impairment, while reducing clinical burden on healthcare staff and improving efficiency.

methodsThree focus groups, comprising members of the public, clinicians, commissioners, business leaders, and academics, were conducted using a semi-structured interview guide addressing acceptability, engagement, benefits, risks, and adoption. Data were analysed using thematic analysis.

resultsParticipants identified that the successful implementation of an interactive cognitive monitoring app would depend on its acceptability, perceived usefulness, sustained engagement, accuracy and appropriate interpretation of information, robust data security, and potential efficiency gains within the health and care systems. Perceived benefits for individuals include reassurance, reduced stress, early access to assessment and support, as well as the potential to maintain quality of life. For clinicians and the health system, perceived benefits include improved efficiency through reduced consultation times and shorter waiting lists.

conclusionsThe findings align with existing literature on earlier identification of cognitive decline and digital cognitive assessments, highlighting the potential relevance of such technologies for supporting service delivery and enhancing efficiency within cognitive health care.

trial registrationNot applicable.

Indexed as

Cognitive DysfunctionDementiaMobile ApplicationsStakeholder ParticipationDigital HealthFemaleFocus GroupsHumansInterviews as TopicMaleMiddle AgedQualitative ResearchRisk AssessmentAlzheimer’s diseaseCognitive monitoringDementiaDigital cognitive assessmentHealth services researchImplementationMild cognitive impairmentPre-dementiaQualitative researchStakeholder perspectives

Identifiers

PMID42116097
PMCPMC13339268

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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.