The Opioid Manager: A point-of-care tool to facilitate the use of the Canadian Opioid Guideline
Bibliographic record
Abstract
The Opioid Manager is designed to be used as a point-of-care tool for providers prescribing opioids for chronic noncancer pain. It condenses the key elements from the Canadian Opioid Guideline and can be used as a chart insert. The Opioid Manager has been validated and is available for download from the Guideline's Web site http://nationalpaincentre.mcmaster.ca/opioidmanager/. The Opioid Manager is divided into the following four parts: A) before you write the first script, B) initiation trial, C) maintenance and monitoring, and D) when is it time to decrease the dose or stop the opioid completely? The Opioid Manager has been downloaded by 1,432 users: 47 percent family physicians, 18 percent pharmacists, 13 percent other physicians, and 22 percent miscellaneous. To show how to use the Opioid Manager, the authors created a 10-minute video that is available on the Internet. The Opioid Manager is being translated to French, Spanish, Portuguese, and Farsi.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".