Client Experience with the Ontario Birth Center Demonstration Project
Bibliographic record
Abstract
INTRODUCTION: In 2014, 2 new freestanding midwifery-led birth centers opened in Ontario, Canada. As one part of a larger mixed-methods evaluation of the first year of operations of the centers, our primary objective was to compare the experiences of women receiving midwifery care who intended to give birth at the new birth centers with those intending to give birth at home or in hospital. METHODS: We conducted a cross-sectional survey of women cared for by midwives with admitting privileges at one of the 2 birth centers. Consenting women received the survey 3 to 6 weeks after their due date. We stratified the analysis by intended place of birth at the beginning of labor, regardless of where the actual birth occurred. One composite indicator was created (Composite Satisfaction Score, out of 20), and statistical significance (P < .05) was assessed using one-way analysis of variance. Responses to the open-ended questions were reviewed and grouped into broader categories. RESULTS: In total, 382 women completed the survey (response rate 54.6%). Half intended to give birth at a birth center (n = 191). There was a significant difference on the Composite Satisfaction Scores between the birth center (19.4), home (19.5), and hospital (18.9) groups (P < .001). Among women who intended to give birth in a birth center, scores were higher in the women admitted to the birth center compared with those who were not (P = .037). Overall, women giving birth at a birth center were satisfied with the learners present at their birth, the accessibility of the centers, and the physical amenities, and they had suggestions for minor improvements. DISCUSSION: We found positive experiences and high satisfaction among women receiving midwifery care, regardless of intended place of birth. Women admitted to the birth centers had positive experiences with these new centers; however, future research should be planned to reassess and further understand women's experiences.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".