Integrated care for pregnant women on methadone maintenance treatment: Canadian primary care cohort study.
Bibliographic record
Abstract
OBJECTIVE: To describe the characteristics of a national cohort of pregnant women on methadone maintenance treatment (MMT) and to provide treatment outcome data for integrated care programs. DESIGN: Retrospective chart review. SETTING: Three different integrated care programs in geographically distinct cities: the Toronto Centre for Substance Use in Pregnancy in Toronto, Ont; the Herzl Family Practice Centre in Montreal, Que; and the Sheway clinic in Vancouver, BC. PARTICIPANTS: Pregnant women meeting criteria for opioid dependence and attending an integrated care program between 1997 and 2009. Women were excluded if they were on MMT only for chronic pain. MAIN OUTCOME MEASURES: Patient demographic characteristics, concurrent medical and psychiatric disorders, and substance use outcome data. RESULTS: A total of 102 opioid-dependent pregnancies were included. The mean age was 29.7 years and 64% of women were white. Women in Montreal were more likely to have partners and had fewer children. Differences in living and housing situations among the sites tended to resolve by the time of delivery. Almost half of this cohort tested positive for hepatitis C. Women had a high prevalence of depression and anxiety across all sites. Half of this cohort was on MMT before conception and for the other half, MMT was initiated at a mean gestational age of 20.7 weeks, resulting in a mean dose of 82.4 mg at delivery. At the first visit, polysubstance use was common. Prescription opioid use was more frequent in Toronto and heroin use was more prevalent in Vancouver and Montreal. For the entire population, significant reductions were found by the time of delivery for illicit (P < .001) and prescription opioids (P = .001), cocaine (P < .001), marijuana (P = .009), and alcohol use (P < .001). CONCLUSION: Despite geographic differences, all 3 integrated care programs have been associated with significant decreases in substance use in pregnant opioid-dependent women.
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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) | 0.001 | 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".