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Record W4395699543 · doi:10.1080/13607863.2024.2345130

How can care home activities facilitate social connection in residents? A qualitative study

2024· article· en· W4395699543 on OpenAlexafffund
Michal M. Misiak, Jennifer Bethell, Hannah Chapman, Andrew Sommerlad

Bibliographic record

VenueAging & Mental Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersFondation Brain CanadaAlzheimer's Association
KeywordsLonelinessPsychosocialQualitative researchThematic analysisPsychological interventionPsychologyNursingGerontologyMedicineSocial psychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

Objectives Good social connection is associated with better physical and mental health but care home residents experience barriers to social connection. Activities present a potential avenue for improving social connection in care homes but residents often experience loneliness despite access to activity programmes. We therefore aimed to identify what aspects of activities facilitate social connection in care home residents.Method Qualitative study using semi-structured interviews that were analysed using Thematic Analysis. A purposive sample of 35 participants, including 12 residents, 10 family caregivers, nine care home staff and four clinicians, recruited from UK care homes.Results We found four main themes describing features of activities important for facilitating social connection: (1) personalisation with respect to residents’ interests, social preferences, and cognitive ability; (2) activities which foster a sense of community; (3) finding and emphasising things in common that residents share; and (4) facilitating a sense of involvement with others.Conclusion We identified the key aspects of activities which facilitate social connection in care homes. These findings can be applied to a range of existing and newly designed activities in care homes and inform the development and testing of psychosocial interventions aiming to improve social connection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.472
Teacher spread0.392 · 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 teacher head, 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

Citations14
Published2024
Admission routes2
Has abstractyes

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