Canadian Clinical Guidelines on Social Isolation and Loneliness in Older Adults
Bibliographic record
Abstract
Background: Preventing and addressing social isolation and loneliness among older adults is important because of the known associations with negative health outcomes. The Canadian Coalition for Seniors' Mental Health (CCSMH) took on the task of creating clinical guidelines. Method: A multidisciplinary working group was established. The process was guided by an initial rapid scoping review of the literature focused on older adults. An adapted GRADE approach was utilized. Results: CCSMH has produced first-ever clinical guidelines on social isolation and loneliness in older adults. Prevention, including recognition of risk factors and educational approaches focused on clinicians and students, is recommended. Targeted screening with validated tools is recommended. A comprehensive assessment is optimal to treat any underlying conditions and to identify contributing factors that may be responsive to psychosocial interventions. An individualized approach to interventions with shared decision-making is recommended. A variety of possible interventions include social prescribing, social activity, physical activity, psychological therapies, animal-assisted therapies and ownership, leisure skill development and activities, and the use of technology. Conclusion: The problem of social isolation and loneliness is a "geriatric" giant that needs to be recognized and addressed. Because of its complexity, it will require the collective attention of many individuals and organizations working together at multiple levels of society, to raise awareness and find solutions. We recommend that health-care and social service providers use these guidelines as a comprehensive tool to identify, assess, and implement strategies to reduce the negative impact of social isolation and loneliness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".