Evidence map›Paper›PMID 35233473›Full record

ReviewComputers in human behavior reports2022

Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design.

Avelie Stuart, Dmitri Katz, Clifford Stevenson, Daniel Gooch, Lydia Harkin, Mohamed Bennasar, Lisa Sanderson, Jacki Liddle, Amel Bennaceur, Mark Levine and 6 more

Open access · goldAbstract readReview
In one paragraph

Review in Computers in human behavior reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
20.6field-weighted citation impact, top 1% of its field
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

14 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  4. Performance of T-TrackDiagnostics (Basel, Switzerland) · 2023
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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

16 authors at 6 institutions in 3 countries.

Avelie StuartUniversity of Exeter, Exeter, United Kingdom.
Dmitri KatzThe Open University, Milton Keynes, United Kingdom.
Clifford StevensonNottingham Trent University, Nottingham, United Kingdom.
Daniel GoochThe Open University, Milton Keynes, United Kingdom.
Lydia HarkinNottingham Trent University, Nottingham, United Kingdom.
Mohamed BennasarThe Open University, Milton Keynes, United Kingdom.
Lisa SandersonNottingham Trent University, Nottingham, United Kingdom.
Jacki LiddleThe University of Queensland, Queensland, Australia.
Amel BennaceurThe Open University, Milton Keynes, United Kingdom.
Mark LevineLancaster University, Lancaster, United Kingdom.
Vikram MehtaThe Open University, Milton Keynes, United Kingdom.
Akshika WijesundaraThe Open University, Milton Keynes, United Kingdom.
Catherine TalbotBournemouth University, United Kingdom.
Arosha BandaraThe Open University, Milton Keynes, United Kingdom.
Blaine PriceThe Open University, Milton Keynes, United Kingdom.
Bashar NuseibehThe Open University, Milton Keynes, United Kingdom.
The Open University · GBNottingham Trent University · GBBournemouth University · GBLancaster University · GBThe University of Queensland · AUUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is worsening loneliness for many older people through the challenges it poses in engaging with their social worlds. Digital technology has been offered as a potential aid, however, many popular digital tools have not been designed to address the needs of older adults during times of limited contact. We propose that the Social Identity Model of Identity Change (SIMIC) could be a foundation for digital loneliness interventions. While SIMIC is a well-established approach for maintaining wellbeing during life transitions, it has not been rigorously applied to digital interventions. There are known challenges to integrating psychological theory in the design of digital technology to enable efficacy, technology acceptance, and continued use. The interdisciplinary field of Human Computer Interaction has a history of drawing on models originating from psychology to improve the design of digital technology and to design technologies in an appropriate manner. Drawing on key lessons from this literature, we consolidate research and design guidelines for multidisciplinary research applying psychological theory such as SIMIC to digital social interventions for loneliness.

Indexed as

Digital connectionsLonelinessMultidisciplinarySocial cureSocial identityUser-centred designWellbeing

Identifiers

PMID35233473
PMCPMC8872705
OpenAlexW4220696038

What OpenQuestion holds

Textmetadata
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.