Continuing Methadone for Pain in Palliative Care
Bibliographic record
Abstract
BACKGROUND: Methadone is one of the most important medications used for the treatment of refractory pain in the palliative care setting, and is usually initially prescribed by one of a limited number of physicians who have acquired authorization for its use. A lack of authorized physicians able to take over prescribing when the patient is stable is a barrier to accessing methadone for analgesia. OBJECTIVE: To determine the barriers to family physicians becoming authorized to prescribe methadone for pain in palliative care. METHODS: A survey exploring the perceived barriers to continuing methadone for pain in palliative care following initial prescription by a specialist was mailed to a randomly selected group of 870 family physicians in British Columbia. RESULTS: The response rate was 30.9%. Of the 204 responding physicians, 76.1% described themselves as positioned to provide ongoing palliative care to their patients. Within this group, 38 (18.6%) were already authorized to prescribe methadone for pain. The remaining 166 (81.4%) had significant knowledge deficits regarding methadone use in palliative care, but were largely aware of their deficits, and more than one-half were willing to learn more and to obtain an authorization if requested. CONCLUSIONS: Responding family physicians had mostly received little education regarding methadone for pain, but were aware of their need for education and were willing to learn. Physicians who had already become authorized were generally satisfied with the process of authorization, and believed the process of education through authorization was appropriate and not onerous.
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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 | 0.007 | 0.001 |
| 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".