Government Direct-to-Consumer Education to Reduce Prescription Opioid Use
Bibliographic record
Abstract
Importance: Direct-to-consumer education reduces chronic sedative use. The effectiveness of this approach for prescription opioids among patients with chronic noncancer pain remains untested. Objectives: To evaluate the effectiveness of a government-led educational information brochure mailed to community-dwelling, long-term opioid consumers to reduce prescription opioid use compared with usual care. Design, Setting, and Participants: This cluster randomized clinical trial was conducted from July 2018 to January 2019 in Manitoba, Canada. All adults with long-term opioid prescriptions were enrolled (n = 4225). Participants were identified via the Manitoba Drug Program Information Network. Individuals receiving palliative care or with a diagnosis of cancer or dementia were excluded. Data were analyzed from July 2019 to March 2020. Intervention: Participants were clustered according to their primary care clinic and randomized to the intervention (a codesigned direct-to-consumer educational brochure sent by mail) or usual care (comparator group). Main Outcomes and Measures: The main outcome was discontinuation of opioid prescriptions at the participant level after 6 months, ascertained by pharmacy drug claims. Secondary outcomes included dose reduction (in morphine milligram equivalents [MME]) and/or therapeutic switch. Reduction in opioid use was assessed using generalized estimating equations to account for clustering, with prespecified subgroup analyses by age and sex. Analysis was intention to treat. Results: Of 4206 participants, 2409 (57.3%) were male; mean (SD) age was 60.0 (14.4) years. Mean (SD) baseline opioid use was comparable between groups (intervention, 157.7 [179.7] MME/d; control, 153.4 [181.8] MME/d). After 6 months, 235 of 2136 participants (11.0%) in 127 clusters in the intervention group no longer filled opioid prescriptions compared with 228 of 2070 (11.0%) in 124 clusters in the comparator group (difference, 0.0%; 95% CI, -1.9% to 1.9%). More participants in the intervention group than in the control group reduced their dose (1410 [66.0%] vs 1307 [63.1%]; difference, 2.8% [95% CI, 0.0%-5.7%]). Receipt of the brochure led to greater dose reductions for participants who were male (difference, 3.9%; 95% CI, 0.1%-7.7%), aged 18 to 64 years (difference, 3.7%; 95% CI, 0.2%-7.2%), or living in urban areas (difference, 5.9%; 95% CI, 1.9%-9.9%) compared with usual care. Conclusions and Relevance: In this cluster randomized clinical trial, no significant difference in the prevalence of opioid cessation was observed after 6 months between the intervention and usual care groups; however, the intervention resulted in more adults reducing their opioid dose compared with usual care. Trial Registration: ClinicalTrials.gov Identifier: NCT03400384.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".