Antenatal Services for Aboriginal Women: the relevance of cultural competence
Bibliographic record
Abstract
BACKGROUND: Due to persistent significantly poorer Aboriginal perinatal outcomes, the Women's and Newborns' Health Network, Western Australian Department of Health, required a comprehensive appraisal of antenatal services available to Aboriginal women as a starting point for future service delivery modelling. A services audit was conducted to ascertain the usage frequency and characteristics of antenatal services used by Aboriginal women in Western Australia (WA). METHODS: Telephone interviews were undertaken with eligible antenatal services utilising a purpose specific service audit tool comprising questions in five categories: 1) general characteristics; 2) risk assessment; 3) treatment, risk reduction and education; 4) access; and 5) quality of care. Data were analysed according to routine antenatal care (e.g. risk assessment, treatment and risk reduction), service status (Aboriginal specific or non-specific) and application of cultural responsiveness. RESULTS: Significant gaps in appropriate antenatal services for Aboriginal women in metropolitan, rural and remote regions in WA were evident. Approximately 75% of antenatal services used by Aboriginal women have not achieved a model of service delivery consistent with the principles of culturally responsive care, with few services incorporating Aboriginal specific antenatal protocols/programme, maintaining access or employing Aboriginal Health Workers (AHWs). Of 42 audited services, 18 Aboriginal specific and 24 general antenatal services reported utilisation by Aboriginal women. Of these, nine were identified as providing culturally responsive service delivery, incorporating key indicators of cultural security combined with highly consistent delivery of routine antenatal care. One service was located in the metropolitan area and eight in rural or remote locations. CONCLUSION: The audit of antenatal services in WA represents a significant step towards a detailed understanding of which services are most highly utilised and their defining characteristics. The cultural responsiveness indicators used in the audit establish benchmarks for planning culturally appropriate antenatal services that may encourage Aboriginal women to more frequently attend antenatal visits.
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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 | 0.013 | 0.066 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".