Opioid Prescribing Patterns of the American Orthopaedic Foot & Ankle Society
Bibliographic record
Abstract
Category: Other Introduction/Purpose: Amid the current opioid epidemic in the United States, surgeons are forced to more carefully manage postoperative pain prescriptions. Despite the enthusiastic engagement of physicians, politicians and the general public, however, clear guidelines for opioid prescribing postoperatively still do not exist, including after foot and ankle surgery. Given the ablity to improve patient outcomes by decreasing treatment variability in other realms of medicine, this study sought to quantify the postoperative opioid prescribing regimens of American foot and ankle surgeons as an initial step towards understanding prescription patterns and establishing a baseline regimen from which future guidelines may stem. Methods: A total of 1235 active and candidate members of the American Orthopaedic Foot & Ankle Society (AOFAS) from the United States and Canada were invited to fill out a postoperative pain management survey using a Research Electronic Data Capture (REDCap) web-based application. Surgeons were asked to report on their pain prescription regimens, including type and number of pills, after nine common foot and ankle procedures rated as minor, moderate, or major in severity. The presence of a regional block anesthesia was also recorded. Opioid prescriptions were then converted to the equivalent of 5 mg oxycodone pills for standardization and inter-prescriber comparison. Results: Two hundred twenty-four (18%) surgeons completed the survey. Because of highly skewed data results are reported as medians and the range. Postoperative opioid prescriptions, given in oxycodone 5 mg pill equivalents, were as follows: 39 (8-133) pills for minor procedure, 45 (10-180) pills for a moderate soft tissue procedure, 53 (16-186) pills for a moderate bony procedure, and 60 (20-200) pills for a major bony procedure. Conclusion: Wide variation between surgeons was noted in postoperative pain management. Median prescription opioid doses vary from 39 to 60 oxycodone pills depending on procedure type. It is likely that the amount of opioids prescribed is excessive for adequate pain management, especially for smaller procedures. We propose a post-operative pain regimen that limits the number of pills prescribed based on studies from other surgical specialties. Future studies are necessary to assess the efficacy of current postoperative pain management practices and to guide improved pain management that limits the use of opioids where possible.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".