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Record W4416509746 · doi:10.2196/78213

Co-Designing a Digital Solution for Decreasing Loneliness and Social Isolation Among Older People in Sweden: Explorative Study

2025· article· en· W4416509746 on OpenAlexvenueno aff
Caroline Eklund, Viktoria Zander, Annelie K. Gusdal, Charlotta Åkerlind, Petra von Heideken Wågert

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessSocial isolationOlder peopleUsabilityIsolation (microbiology)Grounded theoryFocus group

Abstract

fetched live from OpenAlex

BACKGROUND: Older people are particularly vulnerable to loneliness and social isolation due to common age-related changes. The ability to maintain social relationships is considered important for health and well-being and is an essential aspect of healthy aging. The use of information and communication technology has been shown to promote social connectedness and social support among older people; however, many existing solutions require already established contacts and are not developed based on expressed needs among older people experiencing loneliness or social isolation. OBJECTIVE: The overarching aim of this study was to develop a prototype of a health and welfare technology intervention for decreasing loneliness and social isolation among older people. METHODS: This study describes an iterative participatory design process conducted in 3 phases to create a prototype of a digital intervention for decreasing loneliness and social isolation in older people through participatory design procedures with several key stakeholders. Phase I explored social service staff's perceptions of how social isolation and experiences of loneliness among older people can be reduced by health and welfare technology. Data were collected by conducting 2 workshops (WSs) with social service staff. Phase II explored needs related to loneliness and social isolation perceived by older people and how these needs may be targeted by using health and welfare technology. Data were collected through 2 semistructured interviews and 2 WSs. In phase III, 3 co-design WSs brought together older people with experience of loneliness or social isolation, social service staff, and IT experts to collaboratively generate and refine design ideas. RESULTS: The main result of the study was the development of a paper prototype of the Fik@ room, which is a digital solution supporting social interaction among older people experiencing loneliness or social isolation. Key needs identified include the desire for low-threshold opportunities to connect, flexible modes of communication, and a safe and welcoming environment. These needs directly informed the final design. The main feature of the prototype is to facilitate social interaction in a digital break room with coffee tables where users can interact via video, audio, or chat. Other features are a bulletin board for announcements about interactions inside or outside of the Fik@ room, as well as a profile page. CONCLUSIONS: The iterative co-design process ensured that the solution was grounded in user needs, which may have contributed to the usability and acceptability of the Fik@ room and potentially effective in reducing loneliness and social isolation among older people. Future research should focus on evaluating effects in a real-world setting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0020.005
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.443
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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