Nursing Home Deficiency Citations for Physical Restraints and Restrictive Side Rails
Bibliographic record
Abstract
This article examines whether nursing home facility-level characteristics are associated with the likelihood of receiving deficiency citations for physical restraints, including restrictive side rails. Data from the on-line survey certification of automated records were used to calculate odds ratios for facility-level characteristics associated with these deficiency citations. Repeat records from 2000 to 2007 were combined to produce longitudinal data. The results of this study show that restraint/side rail deficiency citations were negatively associated with higher staffing levels of registered nurses and licensed practical nurses (p ≤ .001) and higher Medicaid reimbursement rates (p ≤ .01). Citations were positively associated with greater nurse aide staffing (p ≤ .01) and higher quality-of-care deficiency citation percentiles (p ≤ .001). The extent of physical restraint and restrictive side rail misuse within nursing homes appears to vary according to various facility characteristics. It is less clear how internal processes within a facility bring about these observed patterns of variation.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".