Determinants of trends in prescription opioid use in British Columbia, Canada, 2005–2013
Bibliographic record
Abstract
PURPOSE: To explore the determinants of total opioid consumption in a Canadian province, and to examine patterns of opioid dispensations by sex, age, and income quintile. METHODS: We used population-based administrative data on prescription drug dispensations in British Columbia (BC; population ~4 million). We apply an index-based approach to examine how changes in population exposure, type of opioids used, and intensity of use contributed to changes in total morphine equivalents dispensed per 1000 population. RESULTS: Between 2005 and 2013 in BC, opioid consumption increased by 31%, driven by longer duration of opioid therapy and by an increase in the use of stronger opioids. Consumption increased for oxycodone, hydromorphone, fentanyl, and tramadol; and declined for morphine, codeine, and other opioids. While we did not find large sex and age differences, the total level of opioid consumption was three times as high among individuals in the lowest income quintile compared to those in the highest income quintile. CONCLUSIONS: Our findings on changes in the type of opioids used and changes in intensity of use suggest that modifications to clinical management of patients on opioid therapy may be warranted. Similar drug utilization statistics, derived from drug information systems, can be reproduced in other jurisdictions to enable a better understanding of the opioid crisis. Copyright © 2016 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".