A community-based intervention for treating depression in seniors.
Bibliographic record
Abstract
This study piloted and refined a community-based behavioural intervention for depressed seniors. The intervention, based on Lewinsohn's Control Your Depression, was administered in bibliotherapy format adapted for seniors. It was delivered in a minimal-contact format by home care nurses. The intervention was tested and refined in a series of3 multiple-baseline studies, each with 2 participants. Each series consisted of baseline, 6 weekly treatment sessions, and 3-month follow-up. Series A tested the feasibility of the intervention. Series B examined the role of pleasant activities as a pivotal part of the treatment. Series C replicated the findings of series B and tested the final version of the intervention. In all the series, there was a reduction in depression that remained at 3-month follow-up. The results indicate that this form of intervention can be supported by home care nurses working with an underserved population that is prone to depression.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".