Evidence map›Paper›PMID 42599850›Full record

ArticlePloS one2026

The impact of digital health on loneliness and social isolation for older adults: A scoping review protocol.

Chandler Tyrrell, Sinéad Keogh, Brídín Carroll

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Chandler TyrrellDepartment of Social Science, Atlantic Technological University, Sligo, Ireland.ORCID https://orcid.org/0009-0005-0212-5389
Sinéad KeoghDepartment of Business, Atlantic Technological University, Galway, Ireland.ORCID https://orcid.org/0009-0004-5557-9651
Brídín CarrollIrish Centre for Social Gerontology, University of Galway, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As populations age and healthcare systems increasingly adopt digital health technologies and alternative models of service delivery, understanding their broader social impact is becoming increasingly important. Digital health technologies are transforming how older adults access and manage healthcare services and may help alleviate pressure on healthcare systems. However, there is limited research examining whether digital health technologies mitigate or exacerbate experiences of loneliness and social isolation among older adults. Loneliness refers to the subjective feeling of inadequate social connection, while social isolation denotes the objective absence of social relationships. Both are associated with poorer physical and mental health, increased healthcare utilisation, and become more prevalent in later life. This protocol outlines a scoping review that will map the existing literature on the relationship between digital health technologies and loneliness and social isolation among older adults. The review will identify the types of digital health technologies that have been studied, examine how loneliness and social isolation have been defined and measured, and highlight gaps in the current evidence base to inform future research, policy, and practice. To our knowledge, this will be the first scoping review to comprehensively examine the intersection of digital health, loneliness, and social isolation in older adults. The protocol has been preregistered on the Open Science Framework (OSF Registries, available at: https://doi.org/10.17605/OSF.IO/92FPE).

Indexed as

Digital HealthLonelinessSocial IsolationAgedHumansScoping Reviews as Topic

Identifiers

PMID42599850
PMCPMC13475860

What OpenQuestion holds

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LicenceCC BY
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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.