Incremental expenditures attributable to daily dispensation and witnessed ingestion for opioid agonist treatment in British Columbia: 2014–20
Bibliographic record
Abstract
BACKGROUND AND AIM: While daily witnessed opioid agonist treatment (OAT) ingestion is common in British Columbia (BC), Canada, and elsewhere, sparse evidence supports this resource-intensive practice. Many settings across North America relaxed restrictions for take-home dosing during the COVID-19 pandemic and have reported consistent or improved patient outcomes. This study measured excess expenditures attributed to daily witnessed pharmacy dispensing compared with weekly or biweekly dispensation schedules. DESIGN, SETTING AND PARTICIPANTS: This study was a population-level retrospective analysis. We included all methadone, buprenorphine/naloxone and slow-release oral morphine dispensations in BC from 1 January 2014 to 30 December 2020. A total of 24 357 107 OAT dispensations among 51 195 unique individuals with 122 793 person-years of follow-up were included during the study period. MEASUREMENTS: Total expenditures for each person-week of OAT with an estimated expenditure under two scenarios are as follows: (1) a weekly dispensation scenario and (2) a biweekly dispensation scenario. FINDINGS: We estimated excess expenditures attributable to current dispensing practices of between $38 million (2014) and $47.4 million (2018) compared with a hypothetical weekly dispensing schedule, and $43.9 million (2014) to $54.9 million (2018) compared with biweekly dispensing. The majority of these expenditures (58-64%) were attributed to pharmacy dispensing fees ($23 million in 2014 to $30 million in 2018 compared with weekly dispensing; $26.6 million in 2014 to $34.7 million in 2018 compared with biweekly dispensing). CONCLUSION: Daily witnessed opioid agonist treatment ingestion results in more than $30 million in excess expenditures annually in the province of British Columbia, Canada compared with the costs of weekly or biweekly dispensation schedules.
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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".