Preliminary evaluation of a novel Aboriginal community–controlled prison health service for First Nations people
Bibliographic record
Abstract
OBJECTIVE: This study aimed to provide a preliminary evaluation of the Winnunga Nimmityjah Health and Wellbeing Service which commenced operations at the Australian Capital Territory's adult prison in 2019. METHODS: A mixed-method approach was utilised to evaluate the service from 1 January 2019 to 31 December 2020. The quantitative arm described health status and health care engagement of enrolled detainees, and included a comparison of preventative health measures with the Winnunga community-based service. A qualitative arm involved focussed, semi-structured interviews with Winnunga staff members who worked at the prison service. RESULTS: There were 61 detainees enrolled (from 168 requests for enrolment), with 92% identifying as Aboriginal and/or Torres Strait Islander. Health needs among detainees were skewed towards mental illness and substance use. The provision of primary and preventative health care was comparable to or better than the community-based service. Qualitative analysis of staff interviews identified four themes: provision of holistic and community-led care, workforce constraints, access to opioid agonist treatment and challenges working within a correctional facility. CONCLUSIONS: Winnunga was the first Aboriginal Community Controlled Health Organisation to deliver holistic health care to First Nations people in an Australian prison. This evaluation highlights the service's achievements and provides recommendations for improvement and expansion. IMPLICATIONS FOR PUBLIC HEALTH: Aboriginal community-controlled organisations can provide high quality, culturally safe health and wellbeing services for First Nations people in prison. The findings of this study provide evidence for the development of similar services in other jurisdictions.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".