The Impact of Culturally-Centered Care on Peripartum Experiences of Autonomy and Respect in Community Birth Centers: A Comparative Study
Bibliographic record
Abstract
OBJECTIVE: National studies report that birth center care is associated with reduced racial and ethnic disparities and reduced experiences of mistreatment. In the US, there are very few BIPOC-owned birth centers. This study examines the impact of culturally-centered care delivered at Roots, a Black-owned birth center, on the experience of client autonomy and respect. METHODS: To investigate if there was an association between experiences of autonomy and respect for Roots versus the national Giving Voice to Mothers (GVtM) participants, we applied Wilcoxon rank-sum tests for the overall sample and stratified by race. RESULTS: Among BIPOC clients in the national GVtM sample and the Roots sample, MADM and MORi scores were statistically higher for clients receiving culturally-centered care at Roots (MADM p < 0.001, MORi p = 0.011). No statistical significance was found in scores between BIPOC and white clients at Roots Birth Center, however there was a tighter range among BIPOC individuals receiving care at Roots showing less variance in their experience of care. CONCLUSIONS FOR PRACTICE: Our study confirms previous findings suggesting that giving birth at a community birth center is protective against experiences of discrimination when compared to care in the dominant, hospital-based system. Culturally-centered care might enhance the experience of perinatal care even further, by decreasing variance in BIPOC experience of autonomy and respect. Policies on maternal health care reimbursement should add focus on making community birth sustainable, especially for BIPOC provider-owners offering culturally-centered care.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".