The costs and benefits of a prison needle and syringe program in Australia, 2025–30: a modelling study
Bibliographic record
Abstract
OBJECTIVES: To estimate and compare the costs and benefits of introducing a prison needle and syringe program in all Australian prisons. STUDY DESIGN: Stochastic compartmental modelling study. SETTING: All Australian prisons, 1 January 2010 to 31 December 2030. INTERVENTION: Introduction of a prison needle and syringe program in all Australian prisons during 1 January 2025 - 1 January 2027, with the aim of covering 50% of people who inject drugs in prison by 1 January 2030. MAIN OUTCOME MEASURES: Projected new hepatitis C virus (HCV) infections and hospitalisations with injection-related bacterial and fungal infections in prisons, with and without the needle and syringe program; costs of the program; savings in treatment costs for HCV and injection-related bacterial and fungal infections; benefit-cost ratio of the program. RESULTS: In the base scenario (no prison needle and syringe program), the projected number of new HCV infections during 2025-2030 was 2932 (uncertainty interval [UI], 2394-3507) and the projected number of hospitalisations with injection-related bacterial and fungal infections was 3110 (UI, 2596-3654). With the prison needle and syringe program, it was projected that 894 (UI 880-912) new HCV infections (30%; UI, 26-37%) and 522 (UI, 509-532) hospitalisations with injection-related bacterial and fungal infections (17%; UI, 15-20%) would be averted; the incidence of new HCV infections would be reduced from 3.1 (UI, 2.5-3.7) to 1.3 (UI, 1.0-1.7) per 100 person-years among people who inject drugs in prison. The estimated cost of the program was $12.2 million (UI, $7.6-22.2 million), and the saved care costs for HCV and injection-related infections were $31.7 million (UI, $29.3-34.6 million), yielding a benefit-cost ratio of 2.6 (UI, 1.4-4.1). The benefit-cost ratio was also greater than one for scenarios in which the assumptions and base values for several parameters were varied. CONCLUSIONS: Each dollar spent on a needle and syringe program in Australian prisons could save $2.60 in treatment costs for HCV and other injection-related infections.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".