A Controlled Quality Improvement Trial to Reduce the Use of Physical Restraints in Older Hospitalized Adults
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To implement and evaluate an evidence-informed multicomponent strategy to reduce physical restraint use in older adults admitted to acute care medical units. DESIGN: Stepped-wedge trial. SETTING: Four acute care medical units in Calgary, Alberta, over a 4-month time period. PARTICIPANTS: Data were collected from individuals aged 65 and older present on the study units during monthly restraint audits. INTERVENTION: Development of opinion leaders among the nursing leadership, education and training of physicians and unit nurses, and implementation of least restraint rounds. MEASUREMENTS: The primary outcome was rate of restraint use as determined from walk-around audits. Secondary outcomes included number of physician orders for physical restraints on the electronic medical record and fall reports. RESULTS: Thirteen percent to 27% of individuals were being restrained on the medical units before the intervention, with the vast majority of restraints being bed rails. This decreased to 7% to 14% after the intervention. The intervention resulted in a statistically significant reduction in restraint use measured in the early mornings (P = .01), and this trend continued after adjusting for unit and month (P = .06). Similarly, the rate of restraint use trended down at all other measured time periods but was not statistically significant. A limited number of individuals had an order for physical restraint within their electronic medical record (3% before, 2% after the intervention). The median number of monthly fall reports did not change (three before, three after; P = .60). CONCLUSION: A multicomponent team-focused quality improvement intervention has the potential to decrease the use of physical restraints in older hospitalized adults.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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