Primary health care in the Kimberley: Is the doctor shortage much bigger than we think?
Bibliographic record
Abstract
OBJECTIVE: This study describes the extent to which general practitioners in the Kimberley region are available for doctor-provided primary care and relates primary care availability to need and standardised population. DESIGN: Data collection and analysis was based on government statistics and interviews with general practitioners, local managers and regional employers and organisations. RESULTS: A shortfall of 20.6 full time general practitioner positions was identified and this was aggravated by a significant number of unfilled positions in the areas of greatest need. Overall the region had only half the primary care general practitioners needed. The Shire of Halls Creek at the time of survey had less than a quarter of the doctors required based on this analysis. CONCLUSION: Steps to increase the Australian medical workforce have begun but resources to recruit, support and sustain this workforce are required. Aboriginal health workers and locally trained nurses competently provide much of the primary care but need greater resources to support the available medical care.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".