Labor Prices and the Treatment of Nursing Home Residents with Dementia
Bibliographic record
Abstract
Abstract An important aspect of dementia care for nursing home residents is the management of symptoms such as behavioral problems and wandering. Nursing homes can manage these symptoms using a mix of labor, medications and physical restraints. Medications such as antipsychotics are hypothesized to be a substitute for direct care staff, while physical restraints are considered to be a complement to staff time. Using an instrumental variables approach, we investigate whether an increase in nursing home wages leads to greater substitution towards antipsychotic medications and away from the use of physical restraints. Our results suggest a 10% increase in weekly nursing home wages increases the inappropriate use of antipsychotics among dementia patients by 1.1% to 3.5%, while it decreases the use of physical restraints by roughly 26% to 28%. These findings suggest policymakers should consider nursing home market factors when overseeing and regulating issues of nursing home quality.
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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 | 0.000 | 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 | 0.000 |
| 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".