Exploring the role of sex in hospitalizations among people with and without HIV in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVE: We assessed sex differences in hospitalization rates among people with HIV (PWH) and people without HIV (PWoH) in British Columbia (BC). METHODS: PWH and a 10% random sample of PWoH in BC aged ≥19 were followed from 04/01/2002 to 03/31/2020, using linked administrative Comparative Outcomes and Service Utilization Trends (COAST) study data. Hospitalizations were categorized by discharge diagnosis, using broad International Classification of Diseases-classes. Using Poisson regression, we modelled the association between sex, HIV-status, their interaction, and hospitalization rates adjusting for confounders. RESULTS: Among 12,635 PWH (17.81% females) and 548,992 PWoH (49.34% females), age-adjusted hospitalization rates per 100 person-years were highest among females with HIV [incidence rate (IR) 34.25], followed by males with HIV (IR 21.49), females (IR 7.10), and males (IR 7.06) without HIV. Hospitalization rates for all causes declined from 2002-2022 across all subgroups but remained consistently higher among females with HIV, except for circulatory diseases and neoplasms. Adjusted for socio-structural factors, being male [rate ratio (RR) 1.92] or female with HIV (RR 2.66) was significantly associated with a higher hospitalization rate compared to males without HIV. Among PWH, female sex remained significantly associated with a higher hospitalization rate, after adjusting for HIV- and disease-related factors. CONCLUSIONS: We found a higher hospitalization rate among PWH than PWoH in BC, with the highest rate among females with HIV. This could partially be explained by socio-structural factors. Addressing these disparities and improving our understanding of the underlying mechanisms is critical to enhance health outcomes for women with HIV.
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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".