Evidence map›Paper›PMID 42684310›Full record

ArticleJournal of medical Internet research2026

Changing Technology Use, Confidence, and Support Needs Among Older Adults in United Kingdom Retirement Villages: Mixed Methods Study.

Angela Higgins, Steve Benford, Michelle Hall, Holly Blake, Kevan Murray, Praminda Caleb-Solly

Abstract read
In one paragraph

Article in Journal of medical Internet 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
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

6 authors.

Angela HigginsSchool of Computer Science, University of Nottingham, Wollaton Road, Nottingham, England, NG8 1BB, United Kingdom, 44 115 951 4251.ORCID http://orcid.org/0000-0003-1855-6122
Steve BenfordSchool of Computer Science, University of Nottingham, Wollaton Road, Nottingham, England, NG8 1BB, United Kingdom, 44 115 951 4251.ORCID http://orcid.org/0000-0001-8041-2520
Michelle HallSchool of Health Sciences, University of Nottingham, Nottingham, England, United Kingdom.ORCID http://orcid.org/0000-0003-2231-1507
Holly BlakeSchool of Health Sciences, University of Nottingham, Nottingham, England, United Kingdom.ORCID http://orcid.org/0000-0003-3080-2306
Kevan MurrayNottingham Trent University, Nottingham, Nottinghamshire, United Kingdom.ORCID http://orcid.org/0009-0003-4523-7546
Praminda Caleb-SollySchool of Computer Science, University of Nottingham, Wollaton Road, Nottingham, England, NG8 1BB, United Kingdom, 44 115 951 4251.ORCID http://orcid.org/0000-0001-8821-0464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assistive technologies can support independent living among older adults, helping manage health and maintain independence, but uptake is often constrained by attitudes, confidence, and socioeconomic factors. The COVID-19 lockdowns accelerated technology use across all age groups, offering a natural experiment to examine changes in adoption. Objective: This study aimed to examine changing patterns of technology use in older adults, to provide insight as to how service providers can support the use of technology to enhance resident independence and well-being. Methods: Two cross-sectional surveys were conducted in United Kingdom retirement villages operated by a single housing provider, one immediately before the pandemic (2020, n=1707 across 19 sites) and one after lockdowns were lifted (2023, n=45 at one site), assessing technology confidence, device ownership, internet use, and learning pathways. Semistructured interviews with 8 participants in a technology trial scheme provided qualitative depth. Integration followed a connecting approach, with quantitative findings identifying patterns and qualitative data contextualizing them. Results: Technology adoption increased significantly between 2020 and 2023, with older adults reporting greater confidence ( Conclusions: Findings demonstrate that the pandemic accelerated lasting increases in technology adoption among older adults, though these changes also reflect broader societal, technological, and community-level factors. The persistent gender gap in confidence likely reflects cumulative life-course disadvantages in workplace technology exposure. Technology provision for older adults appears most effective when embedded within the social fabric of a community. These results provide evidence for housing providers and policymakers to formalize peer support pathways, introduce health-related technology through trusted social relationships, and design support that aligns with how residents are actually learning.

Indexed as

COVID-19Internet UseRetirementSelf-Help DevicesAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited Kingdomassistive technologyolder adultolder adultstechnology adoptiontechnology use

Identifiers

PMID42684310
PMCPMC13536979

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.