Patterns of opioid prescription post ureteroscopy among members of the Endourological Society
Bibliographic record
Abstract
BACKGROUND: Postoperative opioid prescribing has been linked with persistent opioid use. Ureteroscopy (URS) is a common urologic procedure and a potential area to focus on opioid reduction. We aim to characterize international practice patterns of opioid prescribing post URS and what measures may decrease the need for opioid prescription. METHODS: We developed a survey directed to members of the Endourological Society. The survey queried the frequency of opioid prescribing post URS, challenges when opioids are not prescribed, and measures thought to reduce the need for opioids. RESULTS: We received 159 responses with the majority reported practicing urology for >20 years (37.1%), and performing 10-20 ureteroscopies/month (45.3%). Forty-one percent were from the United States (US) and Canada. Sixty-six percent completed a fellowship, 84% in endourology. Twenty-six percent prescribe opioids more than half the time and the majority do so less than 10% of the time (61.6%). Thirty-eight percent had no challenges when opioids were omitted. Measures felt to decrease the need for opioids were preoperative counseling, nonsteroidal anti-inflammatory drugs use, and use of adjunct medications. After adjusting for location and type of practice, endourology fellowship completion, years of practice, and number of ureteroscopies/month, we found that respondents from the US and Canada were more likely to prescribe opioids more than half the time post URS compared to respondents from the rest of the world [odds ratio (OR): 87.5, P<0.001, 95% confidence interval (CI): 17.3-443.5]. CONCLUSIONS: Despite proven feasibility of non-opioid pathway, nearly one-quarter of participants in our survey prescribe opioids >50% of the time post URS. Most important factors felt to reduce opioid prescription post URS were preoperative counseling, nonsteroidal anti-inflammatory drugs use. US and Canadian urologists were more likely to prescribe opioids >50% of the time post URS compared to the rest of the world. We believe best practice guidelines should be considered by the American and Canadian Urological Associations to address post URS opioid prescribing.
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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".