Mobility patterns of Aboriginal injection drug users between on-and off-reserve settings in northern British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVES: In Canada, public health policymakers and Aboriginal health service leaders have warned that the reciprocal movement of Aboriginal injection drug users (IDUs) between urban and rural settings may serve as a critical vector for the continuing spread of HIV among Aboriginal peoples. The current study aimed to describe the mobility patterns of Aboriginal injection drug users between on- and off-reserve locations in northern British Columbia. STUDY DESIGN: Retrospective medical-chart review of inpatient detoxification records. METHODS: We employed a medical-chart review of all self-reported Aboriginal IDUs (n = 302) admitted at least twice to an adult inpatient hospital-based substance-abuse detoxification treatment centre between 4 January 1999 and 31 December 2005, and analysed place-of-residence transitions between on- and off-reserve settings. RESULTS: Over the course of the 7-year study period, 26% (n = 73) of Aboriginal IDUs changed their primary residence from an off-reserve to an on-reserve location. Almost all (96%, n = 23) of those living on-reserve at their first IDU-related admission had moved to an off-reserve setting at a subsequent visit. CONCLUSIONS: The high rates of reciprocal movement between on- and off-reserve locations are a critical public health concern. The results show that the problems associated with both IDU and infectious disease are not limited to urban centres. Our results stand as a clear call for support of Aboriginal-directed, culturally appropriate and accessible services to reduce IDU-related harms. The specifics of such programs are a topic for Aboriginal health care leaders and the communities themselves to discuss, develop and implement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".