Socio-structural barriers to mental health services among women living with HIV in Metro Vancouver, Canada
Bibliographic record
Abstract
Women living with HIV experience high levels of mental health conditions and gendered social and systemic inequities to healthcare services access. This study therefore examined the prevalence and socio-structural factors associated with being unmet need for mental health services among women living with HIV. Data were drawn from Sexual Health & HIV/AIDS: Longitudinal Women's Needs Assessment (SHAWNA), an open longitudinal community-based study among women living with HIV in Metro Vancouver (2014-present). Bivariate and multivariable logistic regression using generalised estimation equations were used to examine associations between socio-structural factors and unmet need for mental health services in the last six months. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported. Overall, the study sample included 296 among 13 possible surveys with 1886 observations (2014-2023). In multivariable analysis, HIV-related stigma (AOR = 1.06;CI:1.03-1.08), food insecurity (AOR = 1.46;CI:1.04-2.04), being unable to access primary healthcare services (AOR = 1.42;CI:1.02-1.98), and gender-based violence (AOR = 1.89;CI:1.30-2.76) were significantly associated with unmet needs for mental health services. Addressing intersecting mental health and HIV stigma could help support safe disclosures of mental health conditions and facilitate referrals to care. Long-term, sustainable strategies to address shortages of primary care and affordable, trauma-informed mental health care services among women living with HIV are needed.
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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".