Fall Occurrence in a Geriatric Psychiatry Setting Before and After a Fall Prevention Program
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A fall prevention program providing staff education, quantitative assessment of gait and balance, risk factors assessment, and evidence-based interventions was introduced on two geriatric wards of a regional psychiatric hospital. A within-subjects comparison was made of fall occurrence during the 4-month pre-intervention phase and the 4-month post-intervention phase using Fisher's exact test. Among those (N = 23) who survived the duration of the study, significantly fewer falls occurred in the post-intervention time period than in the pre-intervention time period (p < 0.01). Comprehensive assessment, problem identification, and intervention planning by nurses may serve to reduce the number of falls among elderly individuals with severe psychiatric disorders.
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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 | 0.001 |
| 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 it