Evidence map›Paper›PMID 41480409›Full record

ArticleFrontiers in dementia2025

Understanding and guiding technology use in dementia: a pan-European mapping and consensus study.

Canaan Tsabary, Duygu Sezgin, Anthea Innes, Dianne Gove, Ana Diaz, Lia Fernandes, Ana Barbosa, Michael P Craven, Horst Christian Vollmar, Laila Øksnebjerg and 1 more

Abstract read
In one paragraph

Article in Frontiers in dementia, 2025. 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
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.

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

11 authors.

Canaan TsabarySchool of Psychology, Dublin City University, Dublin, Ireland.
Duygu SezginSchool of Nursing and Midwifery, University of Galway, Galway, Ireland.
Anthea InnesCentre for Rural Health Science, University of the Highlands and Islands, Inverness, United Kingdom.
Dianne GoveAlzheimer Europe, Senningerberg, Luxembourg.
Ana DiazAlzheimer Europe, Senningerberg, Luxembourg.
Lia FernandesDepartment of Clinical Neurosciences and Mental Health, Faculty of Medicine, RISE-Health, University of Porto, Porto, Portugal.
Ana BarbosaCentre for Applied Dementia Studies, University of Bradford, Bradford, United Kingdom.
Michael P CravenNIHR MindTech HRC, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
Horst Christian VollmarInstitute of General Practice and Family Medicine (AM RUB), Ruhr University Bochum, Bochum, Germany.
Laila ØksnebjergDepartment of Psychology, University of Copenhagen, Copenhagen, Denmark.
Louise HopperSchool of Psychology, Dublin City University, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dementia is a leading cause of disability worldwide, and its prevalence is expected to rise significantly by the year 2050. Assistive technologies (AT) have emerged as promising tools to promote independence and quality of life. The COVID-19 pandemic prompted an increased uptake of AT among people with dementia, exposing important limitations in digital literacy, accessibility, and support. Methods: This pan-European study mapped recent research initiatives involving digital technology use by people with dementia during the pandemic and synthesised a set of recommendations for supporting the use of AT by people with dementia, and its development, using the Delphi method. Results: The mapping exercise identified 28 relevant projects, highlighting the types of technologies used during the pandemic and the settings in which they were implemented. Video-conferencing platforms were the most reported projects. More than half of the projects and initiatives ( Discussion: Key findings emphasise involving people with dementia in technology design, ensuring equitable access, and providing adequate training and support. The recommendations offer a practical, consensus-based framework to improve the efficacy of AT adoption, with implications extending beyond pandemic contexts to improve dementia care globally.

Indexed as

assistive technologyCOVID-19Delphi methoddementiaexpert consensusmapping exercisepublic involvement

Identifiers

PMID41480409
PMCPMC12753415

What OpenQuestion holds

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Registered trials

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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.