Evaluating how has care been affected by the Ontario COVID-19 Opioid Agonist Treatment Guidance: Patients’ and prescribers’ experiences with changes in unsupervised dosing
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has exacerbated the opioid crisis. Opioid-related deaths have increased and access to treatment services, including opioid agonist treatment (OAT), has been disrupted. The Ontario COVID-19 OAT Treatment Guidance document was developed to facilitate access to OAT and continuity of care during the pandemic, while supporting physical distancing measures. In particular, the Guidance expanded access to unsupervised OAT dosing. It is important to evaluate the changes in unsupervised OAT dosing after the release of the Ontario COVID-19 OAT Guidance based on patients' and prescribers' reports. METHOD: Online questionnaires were developed collaboratively with people with lived and living expertise, prescribers, clinical experts, and researchers. Patients (N = 402) and prescribers (N = 100) reported their experiences with changes in unsupervised dosing during the first six months of the pandemic. RESULTS: Many patients (57%) reported receiving additional unsupervised OAT doses (i.e., take away doses). Patients who received additional unsupervised doses were not significantly more likely to report adverse health outcomes compared to patients who did not receive additional unsupervised doses. Patients with additional unsupervised doses and prescribers agreed that changes in OAT care were positive (e.g., reported an improved patient-prescriber relationship and more openness between patient and prescriber). Prescribers and some patients reported the need for continued flexibility in unsupervised doses after the pandemic restrictions lift. CONCLUSIONS: Results support the need to re-evaluate historical approaches to OAT care delivery, particularly unsupervised doses. It is crucial to implement policies, regulations, and supports to reduce barriers to OAT care during the pandemic and once the pandemic response restrictions are eased. Flexibility in OAT care delivery, particularly unsupervised dosing, will be key to providing patient-centred care for persons with opioid use disorder.
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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".