Upstream thinking and health promotion planning for older adults at risk of social isolation
Bibliographic record
Abstract
wilson d.m., harris a., hollis v. & mohankumar d. (2010) Upstream thinking and health promotion planning for older adults at risk of social isolation. International Journal of Older People Nursing 6 , 282–288 doi: 10.1111/j.1748‐3743.2010.00259.x Aims and objectives. To raise awareness of social isolation, and provide an approach to first conceptualise and then prevent social isolation among older community‐dwelling persons. Background. Older adults comprise a vulnerable population for social isolation and its associated health risks. Design. Literature review. Methods. Canada’s Population Health Promotion Model was chosen as a comprehensive tool to understand and prevent social isolation. Research studies were sought to identify key health determinants and evidence‐based options for preventing social isolation. Results. Around 1 out of 6 older persons are socially isolated and three health determinants are of prime importance: (i) income and social status; (ii) personal health practices and coping skills and (iii) social support networks. Evidence‐based interventions targeted to these health determinants are suggested. Conclusion. Nurses are a key group to advocate for actions needed to prevent social isolation. Implications for practice. Nurses can play a vital role in minimising social isolation through a variety of educational, prevention and political lobbying activities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".