Disconnected perspectives: Patient and care provider's experiences of substance use in pregnancy
Bibliographic record
Abstract
OBJECTIVE: Generations of colonialism, abuse, racism, and systemic trauma have contributed to Indigenous women in Canada bearing the greatest burden of substance use in pregnancy. Stigma associated with substance use in pregnancy translates into multiple barriers to women engaging in care. Care providers have key interactions that can act as a bridge or a barrier to care. METHODS: Patient journey maps were created for women living with substance use (n = 3) and semi-structured interviews (n = 20) were performed to understand perceptions of maternity-care providers around women with substance use in pregnancy at a regional hospital in northern British Columbia. RESULTS: Patient journey maps showed overall emotions of hurt, loss, judgment, and anger at their interface with health care during pregnancy. Providers described gaps in knowledge of substance use in pregnancy and harm reduction. Although care providers overall perceived themselves to be providing compassionate care without bias, the patient journey maps suggested profound judgment on behalf of providers. CONCLUSION: Ongoing cultural humility and trauma-informed care training along the continuum of care is critical to impacting discrepancies between perceived lack of bias and harm in patient interactions. Acknowledgment of systemic racism's impact on provision of maternity care is critical for health system change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".