Evidence map›Paper›PMID 38706952›Full record

ArticleNew media & society2024

Online social connections and Internet use among people with intellectual disabilities in the United Kingdom during the COVID-19 pandemic.

Sue Caton, Chris Hatton, Amanda Gillooly, Edward Oloidi, Libby Clarke, Jill Bradshaw, Samantha Flynn, Laurence Taggart, Peter Mulhall, Andrew Jahoda and 9 more

Abstract read
In one paragraph

Article in New media & society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

19 authors.

Chris HattonManchester Metropolitan University, UK.
Amanda GilloolyUniversity of Glasgow, UK.
Edward OloidiUniversity of South Wales, UK.
Libby ClarkeUniversity of Warwick, UK.
Jill BradshawUniversity of Kent, UK.
Samantha FlynnUniversity of Warwick, UK.
Laurence Taggart
Peter MulhallUniversity of Ulster, UK.
Andrew Jahoda
Roseann MaguireUniversity of Glasgow, UK.
Anna MarriottNational Development Team for Inclusion, UK.
Stuart ToddUniversity of South Wales, UK.
David AbbottUniversity of Bristol, UK.
Stephen BeyerUniversity of Cardiff, UK.
Nick GoreUniversity of Kent, UK.
Pauline HeslopUniversity of Bristol, UK.
Katrina SciorUniversity College London, UK.
Richard P HastingsUniversity of Warwick, UK; Monash University, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Having a disability, in particular, an intellectual disability, is associated with Internet non-use. This article explores how people with intellectual disabilities used the Internet across the United Kingdom during the COVID-19 pandemic. In April to May 2021, 571 adults with intellectual disabilities were interviewed. Participants most commonly used the Internet for being with family and friends, social media or doing online activities with other people. People who lived with family were the most likely to use social media; people who lived with other people with intellectual disabilities were the least likely. People who self-reported as not lonely were more likely to use the Internet for online activities with others and play video games with others. Social connections were identified as the best thing about the Internet. Many participants chose not to identify a worst thing about Internet use, while others reported issues with technology, online harm and threats to well-being.

Indexed as

COVID-19disabilityintellectual disabilityInternetlearning disability

Identifiers

PMID38706952
PMCPMC11068496

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.