Effect of providing at-home opioid disposal kits at discharge after an orthopaedic surgery
Bibliographic record
Abstract
Prescription opioids after surgery may pose a risk if left unused. However, prescribers rely on their best judgement in determining how much their patients need, often resulting in over-prescription of these medications. Opioid disposal is a strategy to reduce the risk of persistent use or misuse of opioids. At-home disposal kits allow patients to safely dispose of leftover opioids. In this study, we assess the impact of opioid disposal kits on disposal rates after orthopedic surgery. In a difference-in-differences study of 1,321 eligible patients, disposal kits were associated with a 10.6 percentage point increase (95% CI: -3.5% to 24.7%) in disposal rates as well as a 10.5 percentage point increase (95% CI: 0.2% to 20.9%) in the fraction of opioids disposed. We build on prior research and identify that providing surgery patients with an opioid disposal kit at the time of discharge increases their self-disposal rates.
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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) | 0.001 | 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 | 0.001 |
| 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".