Falls Prevention Training for Community Health Workers: Strategies and Actions for Independent Living (SAIL)
Bibliographic record
Abstract
This article describes a quasi-experimental study on falls prevention for clients of home support services in British Columbia, Canada. The study tested a nurse-designed multifactorial intervention, delivered by community health workers. The intervention consisted of 1 day of falls surveillance and prevention training for 51 community health workers, followed by 6 months of evidence-based interventions with their clients (n = 70) using a pretested Checklist and Action Plan. Study findings showed a 43% reduction (chi2 = 8.742, p < .01) in falls and a 44% reduction (chi2 = 5.739, p < .05) for fallers (those who fell once or more) from the 6-month preintervention period to postintervention. The proportion of falls resulting in any injury did not decrease; however, fractures were reduced from seven in the 6-month preintervention period to one following the intervention. The results indicate this intervention is an effective and inexpensive falls prevention strategy for frail recipients of home support services.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".