Evidence map›Paper›PMID 42422548›Full record

ArticleFrontiers in dementia2026

The growing potential for multidisciplinary support and technology to enhance person-centred dementia care: a UK and US perspective.

Esther V Loseto-Gerritzen, Ellis C Dillon, Zlatomira G Ilchovska, Jen Yates, Richard H Fortinsky, Mattéa J Finelli, Michael P Craven

Abstract read
In one paragraph

Article in Frontiers in dementia, 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
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

7 authors.

Esther V Loseto-GerritzenCentre for Dementia, Institute of Mental Health, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Ellis C DillonCenter on Aging, University of Connecticut, Farmington, CT, United States.
Zlatomira G IlchovskaDepartment of Psychology, University of York, York, United Kingdom.
Jen YatesCentre for Dementia, Institute of Mental Health, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Richard H FortinskyCenter on Aging, University of Connecticut, Farmington, CT, United States.
Mattéa J FinelliCentre for Dementia, Translational Medical Sciences Unit, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
Michael P CravenCentre for Dementia, Institute of Mental Health, MindTech HealthTech Research Centre, University of Nottingham, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally more than 55 million people live with dementia, which is estimated to increase threefold by 2050. Dementia poses major challenges for healthcare systems, societies and families, making it a recognised public health priority by the World Health Organization. Advances in pharmacological treatment approaches and new technologies suggest promising improvements in quality-of-life outcomes for people with dementia. However, these new developments may exacerbate existing inequalities in access to dementia treatments and services, depending on how well the organisation and delivery of healthcare services can evolve to successfully link those affected by dementia with treatment options and effective support. In this commentary, we present two important directions to addressing these growing holistic-care challenges and improving life-long quality of life for the patient: firstly, the role of dedicated multidisciplinary support to connect people with dementia to the various services engaged in their care, and secondly the use of technology as an enabler of multidisciplinary care through communication, shared information and coordination within such networks. In particular, we present examples of how artificial intelligence (AI) could be introduced as part of person-centred care during both the diagnosis and monitoring of the disease progression and treatment, to enhance tailoring of personalised therapeutic plans.

Indexed as

assistive technologybiopsychosocial modeldementiadisease modifying treatmentsmultidisciplinary careperson-centred care

Identifiers

PMID42422548
PMCPMC13341958

What OpenQuestion holds

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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 OpenQuestion graph.