Associations between HIV-related injection behaviour and distance to and patterns of utilisation of syringe-supply programmes
Bibliographic record
Abstract
BACKGROUND: Studies indicate that needle-exchange programmes (NEPs) can reduce the incidence of HIV infection; however, a positive impact of syringe-supply programmes has not been consistently demonstrated. The associations between high-risk injection behaviour and distance to and patterns of utilisation of syringe-supply programmes in injection drug users (IDUs) were investigated. METHODS: Participants in a cohort of IDUs (n = 456) residing in Montreal were interviewed between 2004 and 2006. Behavioural questionnaires were administered by trained interviewers, and venous blood samples were drawn and tested for HIV antibodies. The distance from regular IDU dwelling places to nearest NEP or pharmacy was calculated using a Geographic Information System. Logistic regression was used to assess relations with high-risk injection behaviour. RESULTS: Associations between high-risk injection behaviour and distance to syringe-supply source were not linear. The odds of high-risk behaviour grew modestly as distance from the NEP site increased to 1600 m, followed by a flat trend to 3000 m, and thereafter decreased with distance beyond this point. The odds of high-risk behaviour dropped sharply for the relatively few IDUs residing 1 km or more from the nearest pharmacy but this measure was not strongly associated with the outcome. IDUs who exclusively acquired syringes at NEPs or pharmacies had less than half the odds of reporting high-risk injection behaviour than IDUs with inconsistent syringe-access patterns. CONCLUSIONS: The study confirms that Montreal NEPs were implemented where they are most needed. These results also suggest that sterile syringe acquisition patterns might influence high-risk injection behaviour.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".