Who cares for the mothers?: A narrative inquiry exploring substance use disorders among pregnant women
Bibliographic record
Abstract
Background: The nexus between pregnancy and substance use disorders is usually studied from the perspective of the fetus, quantitatively examining the risks associated with in utero substance exposure. There is little regard for the mother and her experience. With an awareness of some of the challenges pregnant women with substance use disorders face, the purpose of this research was to explore how pregnancy and substance use disorders are situated within motherhood and to identify opportunities to shift the understanding of women’s experiences among health care professionals so more supportive care can be offered. Methods: Narrative inquiry was used for this research. The researcher engaged with three pregnant women who self-identified as having a substance use disorder. Formal and informal conversations, field notes, and a research journal were used to collect data. Narratives were co-constructed between the researcher and each woman. Results: The results are presented as excerpts from each woman’s narrative. Narratives extended beyond pregnancy and into a period of conditional motherhood where women were forced to meet state mandated conditions or risk loss of motherhood. Sobriety was fragile and impacted by stressful events such as child apprehension and treatment programs did not meet the needs of mothers. Conclusions: Ongoing, comprehensive services that support pregnant women and are continued into the postpartum period are needed. Peer support models may be an effective means for providing pregnancy specific substance use treatment. Treatment programs must be accessible and meet the distinct needs of women. Extensive breastfeeding support should be considered for women in recovery to promote mother infant attachment.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".