Impacts of overdose and socio-structural factors on recent mortality among people with HIV in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVE: We characterized sociodemographic and behavioural factors associated with mortality among people with HIV (PWH) in British Columbia, Canada. DESIGN: We used purposive sampling to recruit a representative cohort of PWH aged at least 19 years from January 2016 to September 2018. Participants completed a survey and consented to link their data with the BC Vital Statistics Agency, where deaths were recorded. METHODS: We conducted bivariate analyses to compare characteristics between participants who died with those alive as of September 2021. We used multivariable Cox proportional hazards models to examine factors associated with mortality. RESULTS: As of September 2021, 71 (11%) of 644 participants died. The most common specified cause of death was due to overdose ( n = 14, 19.7%). A higher proportion of individuals who died had been incarcerated (52.1 vs. 33.3%; P = 0.002), reported recent homelessness (28.2 vs. 12.6%; P < 0.001) and recent injection drug use (32.4 vs. 19%; P = 0.009), compared to those alive at the end of follow-up. Age at least 60 [adjusted hazard ratio (aHR) 3.80, 95% confidence interval (95% CI 1.55-9.34], and experiencing homelessness in the last 12 months prior to enrolment (aHR 2.01, 95% CI 1.18-3.61) were associated with an increased hazard of death, while identifying as gay or lesbian (aHR 0.42, 95% CI 0.23-0.77), and having greater social support (aHR 0.88 per 10-unit score increase, 95% CI 0.81-0.96) were protective. CONCLUSION: Over 6 years of follow-up, more than 10% of our cohort died, with overdose being the most commonly reported cause of death. PWH with higher social support, however, had a lower risk of death in BC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".