Outcome Evaluation of the Canadian Centre for Activity and Aging’s Home Support Exercise Program for Frail Older Adults
Bibliographic record
Abstract
The Home Support Exercise Program (HSEP) targets frail older adults. After a 4-hr training workshop, home-support workers (HSWs) encourage clients to do a simple, progressive set of 10 exercises during regular visits. Exercise compliance and functional performance were examined in 60 clients who received the HSEP, compared with 38 clients whose HSWs had not received HSEP training. Both groups were primarily female, average age 82, and many of them used walking aids. The 40 HSEP clients who continued with the program over 4 months showed good compliance and significant improvement on several indicators: timed up-and-go, sit-to-stand, 6-min walk, balance confidence, and well-being. Conversely, the comparison group declined on several measures. The findings support the effectiveness of the HSEP, as well as the importance of regular and ongoing support from HSWs for this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".