An Evaluation of a Fall Management Program in a Personal Care Home Population
Bibliographic record
Abstract
Falls are a common problem among institutionalized adults, often resulting in serious negative consequences (Tideiksaar 2002). Fortunately, many of these falls are preventable (Tideiksaar 2002). However, there has been a recent shift from a fall "prevention" approach to one of fall "management," which aims at preventing injuries rather than falls. Falling is regarded as indicative of activity, which strengthens muscles, improves balance, and ultimately reduces the risk of falling (North Eastman Health Association Inc. 2005). For this research, the effectiveness of a fall "management" program that has been implemented in five provincial personal care homes "PCHs" in a Manitoba rural regional health authority will be evaluated. Fall-related administrative data will be analyzed to determine if there are differences (i) within the study sites over time (from pre- to post-intervention) and (ii) between the study and comparison sites. Qualitative information from staff interviews and chart audits will supplement the quantitative information.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".