Study protocol: Return to Country, an Australia-wide prospective observational study about returning First Nations renal patients home
Bibliographic record
Abstract
Introduction In Australia, kidney failure treatment disparities exist between Aboriginal and/or Torres Strait Islander (First Nations) and non-First Nations people. Despite persistent calls from First Nations patients with kidney failure, they are less likely to have treatment that allows them to live at home. Methods and analysis This is a prospective, multicentre study based in Australia. The aim of the study is to characterise the socioeconomic, environmental, health service and biomedical factors driving the health outcomes and patterns of health service utilisation experienced by First Nations patients and investigate whether health service changes to address these identified barriers can achieve higher rates of renal replacement therapy at home on country. This will be achieved by mixed-methods data collection at health service (audit and process data), staff (surveys and qualitative interviews) and patient (survey testing, feedback sessions, health outcomes) levels. A process evaluation will identify barriers and enablers to health services changes in relation to cultural safety. Baseline and follow-up data will be compared to assess the extent to which health services change their service delivery and the impact on health outcomes for First Nations patients with kidney failure. Qualitative and quantitative data will be integrated to provide an in-depth understanding of project outcomes and impacts.
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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 | 0.042 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".