Evidence map›Paper›PMID 41468583›Full record

ReviewJMIR aging2025

Effectiveness of Interventions for Addressing Digital Exclusion in Older Adults in the Social Care Domain: Rapid Review.

Alesha Wale, Jordan Everitt, Toby Ayres, Chukwudi Okolie, Helen E Morgan, Hannah Shaw, Alison Cooper, Adrian Edwards, Ruth Lewis

Abstract readReview
In one paragraph

Review in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Alesha WalePublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-0242-1779
Jordan EverittPublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-3013-888X
Toby AyresPublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0009-0001-6192-6785
Chukwudi OkoliePublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-1423-9306
Helen E MorganPublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0003-2470-9746
Hannah ShawPublic Health Wales NHS Trust, Cardiff, United Kingdom.ORCID https://orcid.org/0009-0009-6615-4786
Alison CooperHealth and Care Research Wales Evidence Centre, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0001-8660-6721
Adrian EdwardsHealth and Care Research Wales Evidence Centre, Cardiff University, Cardiff, United Kingdom.ORCID https://orcid.org/0000-0002-6228-4446
Ruth LewisHealth and Care Research Wales Evidence Centre, North Wales Medical School, Bangor University, Bangor, United Kingdom.ORCID https://orcid.org/0000-0003-0745-995X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults make up the largest proportion of nonusers of the internet. With the increasing digitalization of services, it is important to identify what interventions are effective at reducing digital exclusion in older adults.

objectiveWe aimed to identify what evidence exists on the effectiveness of interventions to address digital exclusion in older adults.

methodsThis rapid review assessed the effectiveness of interventions to address digital exclusion in older adults aged 60 years or older. Searches were conducted in November 2023 across a range of databases and used supplementary search methods. Searches were limited to comparative studies published from 2018 onward in English. Data were analyzed using a narrative synthesis approach.

resultsA total of 21 studies were included that aimed to increase a range of digital literacy skills. Sample sizes ranged from 5 to 381. Intervention approaches varied considerably and were often multicomponent and undertaken in a variety of settings. There is evidence to suggest that a range of interventions can reduce physical, personal, and perceptual barriers and improve older adults' skills, knowledge, digital literacy, and perceived self-efficacy, reduce technophobia, and increase use of technology. Importantly, findings indicated improvements among a range of subpopulations, including those living in rural areas, at risk of social isolation, who are homebound, of lower socioeconomic groups, and individuals with visual impairment. To achieve improved and sustained digital inclusion in older adults, evidence suggests it may be important to ensure structural barriers, such as access to the internet and affordability of devices, are removed. However, all studies contained methodological limitations and may not be adequately powered to determine effectiveness.

conclusionsThe evidence shows the potential benefits of interventions aimed at improving a range of digital skills and increasing technology use in older adults, which could help to address digital exclusion. The findings of this rapid review can inform the development and delivery of future interventions. However, it is important to consider the context in which the included interventions were used and the lack of certainty of the findings. This review also identified a lack of high-quality evidence, as all studies identified contained methodological limitations and may not have been adequately powered to determine effectiveness. In addition, consideration should also be given to those who do not wish to engage with the online world to ensure they are not left behind.

Indexed as

Computer LiteracyInternetSocial IsolationAgedAged, 80 and overFemaleHumansMaleMiddle Ageddigital exclusiondigital inclusioneffectivenessmobile phoneolder adultsreview

Identifiers

PMID41468583
PMCPMC12826648

What OpenQuestion holds

Textmetadata
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.