Applying a Midwifery Lens to Indigenous Health Care Delivery: The Contribution of Campus Learning and Rural Placements to Effecting Systemic Change
Bibliographic record
Abstract
STUDY BACKGROUND: Increasing cultural safety in health settings is essential to address stark health disparities between Indigenous and non-Indigenous Australians. Respect for cultural knowledge, better communication, and recognition of racism as a determinant of health are required for improved service delivery. How this knowledge is acquired in health professional training and translated to clinical settings is poorly understood. PURPOSE: Impacts of an innovative Indigenous health unit and remote clinical placements on knowledge acquisition and attitude change were explored among midwifery students to inform cultural competency initiatives in health professional training. METHODS: A multiphased, mixed methods research design used surveys, observations, and interviews. Qualitative analysis was strengthened through triangulation with quantitative data. RESULTS: A unit conceived with substantial Indigenous Australian input and which privileged these voices enhanced knowledge and shifted attitudes in a positive direction; however, immediate gains diminished over time. Remote placements had a profound effect on student learning. Exposure to Indigenous Australians in classrooms and communities, and the self-reflection generated, helped dispel stereotypes and challenge assumptions based on limited cultural knowledge and contact. CONCLUSION: Optimization of receptivity to Indigenous Australian content and opportunities for remote placements contributed to students' developing cultural capabilities with implications for all health professional training. Whether this heightened awareness is enough to address institutional racism identified in health service delivery remains unanswered. The focus must include those established health practitioners and administrators who influence organizational culture if real systemic change is to occur. Given appropriate on-going support, graduates can play a vital role in expediting this process.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 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".