“Safe, connected, supported in a complex system.” Exploring the views of women who had a First Nations baby at one of three maternity services offering culturally tailored continuity of midwife care in Victoria, Australia. A qualitative analysis of free-text survey responses
Bibliographic record
Abstract
BACKGROUND: In Australia, continuity of midwife care is recommended for First Nations women to address the burden of inequitable perinatal outcomes experienced by First Nations women and newborns. AIMS: This study aimed to explore the experiences of women having a First Nations baby who received care at one of three maternity services in Naarm (Melbourne), Victoria, where culturally tailored midwife continuity models had been implemented. METHODS: Women having a First Nations baby who were booked for care at one of three study sites were invited to participate in an evaluation of care. Thematic analysis was used to analyse qualitative data from responses to free-text, open ended questions that were included in a follow-up questionnaire at 3-6 months after the birth. RESULTS: In total, 213 women (of whom 186 had continuity of midwife care) participated. The global theme for what women liked about their care was 'Safe, connected, supported' including emotional and clinical safety, having a known midwife and being supported 'my way'. The global theme for what women did not like about their care was 'A complex, fragmented and unsupportive system' including not being listened to, things not being explained, and a lack of cultural safety. CONCLUSIONS: Culturally tailored caseload midwifery models appear to make maternity care feel safer for women having a First Nations baby, however, the mainstream maternity care system remained challenging for some. These models should be implemented for First Nations women, and evidence-based frameworks, such as the RISE framework, should be used to facilitate change.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".