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Record W3011083723

Social isolation and loneliness: the new geriatric giants: Approach for primary care.

2020· review· en· W3011083723 on OpenAlex
Amy Freedman, Jennifer Nicolle

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2020
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsLonelinessSocial isolationPsychological interventionGerontologySocial supportTransgenderPsychologyMedicineVulnerability (computing)NursingPsychiatrySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the problems of social isolation, loneliness, and social vulnerability in older adults and the associated risks, and to help primary care providers identify patients at risk and recommend effective interventions. SOURCES OF INFORMATION: and associated key words for relevant English-language articles. References of identified articles were also hand searched. A separate search of the gray literature using Google was conducted to find policy documents and knowledge translation materials from relevant organizations. The search covered relevant articles from the 10 years before June 2019. MAIN MESSAGE: Social isolation, loneliness, and social vulnerability are very common in older adults and are associated with considerable morbidity and mortality, comparable to established risk factors such as smoking, alcohol consumption, obesity, and frailty. Numerous interventions addressing loneliness and social isolation have been studied: social facilitation (including technology), exercise, psychological therapies, health and social services, animal therapy, befriending, and leisure and skill development. However, current evidence of effectiveness is limited. A patient-centred approach is essential to the selection of interventions. The needs of underserviced and marginalized populations, including new immigrants, older adults identifying as LGBTQ+ (lesbian, gay, bisexual, transgender, queer or questioning, and related communities), Indigenous seniors, and seniors living in poverty, as well as the needs of long-term care residents and older caregivers, require further evaluation. CONCLUSION: Social isolation, loneliness, and social vulnerability are common problems in older adults and have important health consequences. Family physicians are uniquely positioned to identify lonely and socially isolated older adults and to initiate services.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.350
Teacher spread0.259 · 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