The Effects and Costs of a Multifactorial and Interdisciplinary Team Approach to Falls Prevention for Older Home Care Clients ‘At Risk’ for Falling: A Randomized Controlled Trial
Bibliographic record
Abstract
This study determined the effects and costs of a multifactorial, interdisciplinary team approach to falls prevention. Randomized controlled trial of 109 older adults who are at risk for falls. This was a six-month multifactorial and evidence-based prevention strategy involving an interdisciplinary team. The primary outcome was number of falls during the six-month follow-up. At six months, no difference in the mean number of falls between groups. Subgroup analyses showed that the intervention effectively reduced falls in men (75-84 years old) with a fear of falling or negative fall history. Number of slips and trips was greatly reduced; and emotional health had a greater improvement in role functioning related to emotional health in the intervention group. Quality of life was improved, slips and trips were reduced, as were falls among males (75-84 years old) with a fear of falling or negative fall history.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".