Rural Postpartum Women With Substance Use Disorders
Bibliographic record
Abstract
The incidence of perinatal opioid use and neonatal withdrawal continues to rise rapidly in the face of the growing opioid addiction epidemic in the United States, with rural areas more severely affected. Despite decades of research and development of practice guidelines, maternal and neonatal outcomes have not improved substantially. This focused ethnography sought to understand the experience of accessing care necessary for substance use disorder recovery, pregnancy, and parenting. Personal accounts of 13 rural women, supplemented by participant observation and media artifacts, uncovered three domains with underlying themes: challenges of getting treatment and care (service availability, distance/geographic location, transportation, provider collaboration/coordination, physical and emotional safety), opportunities to bond (proximity, information), and importance of relationships (respect, empathy, familiarity, inclusion, interactions with care providers). Findings highlight the need for providers and policy makers to reduce barriers to treatment and care related to logistics, stigma, judgment, and lack of understanding of perinatal addiction.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".