Impact of Removing Nonprescription Codeine in Australia: Protocol for a Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: On February 1, 2018, Australia rescheduled codeine to a prescription-only medication. Many concerns were associated with this change, including increased financial costs, reduced service accessibility, the potential for poorer pain management, and a decline in physical and mental health if codeine could not be accessed. In the research literature, there is limited knowledge about the long-term consequences of rescheduling pharmaceutical opioids and, as Australia has followed many countries in implementing a restriction on codeine, further study of these consequences is critical. OBJECTIVE: The goal of this study was to examine the impact of rescheduling codeine from an over-the-counter (OTC) product to a prescription-only medicine on the primary measures of codeine use and dependence in a prospective cohort of people who are frequent consumers of OTC codeine. Secondary measures included pain and self-efficacy, health service use, and mental health. METHODS: The Codeine Cohort study aimed to recruit 300 participants in Australia who regularly (at least a few times per week for the past 6 months) used OTC codeine. Using an online survey, participants were followed up at three time points (February 2018, June 2018, and February 2019) after codeine was rescheduled. RESULTS: All four waves of data collection are complete, with the final round of data collection finalized in August 2019. Data analyses are yet to be completed. Information on demographics, codeine use and dependence, physical and mental health, medication use, and health service use will be analyzed using mixed models. CONCLUSIONS: Results of this study will provide insight into the effectiveness of regulatory restriction in curtailing nonmedical use of and harms associated with codeine. Additionally, results will explore positive and negative outcomes of codeine rescheduling for individual patients, which informs health professionals who support patients who use codeine and further community education. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15540.
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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 | 0.044 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.049 | 0.013 |
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".