Access to and quality of care for sexual and gender minority women living with HIV in Metro Vancouver, Canada: Results from a longitudinal cohort study
Bibliographic record
Abstract
BACKGROUND: While scarce, literature suggests that women at the intersection of HIV status and gender and/or sexual minority identities experience heightened social and health disparities within health care systems. OBJECTIVES: This study examines the association between sexual and/or gender minority identities and: (1) experiences of poor treatment by health professionals and (2) being unable to access health services among a cohort of women living with HIV in Metro Vancouver, Canada. DESIGN: Data were drawn from a longitudinal community-based cohort of women living with HIV (Sexual Health and HIV/AIDS Women's Longitudinal Needs Assessment). METHODS: We examined associations between sexual and/or gender minority identities and the two outcomes. We drew on explanatory variables to measure sexual minority and gender minority identities independently and a combined variable measuring sexual and/or gender minority identities. The associations between each of these three variables and each outcome were analysed using bivariate and multivariable logistic regression models with generalized estimating equations for repeated measures over time. Adjusted odds ratios and 95% confidence intervals are reported. RESULTS: The study sample included 1460 observations on 315 participants over 4.5 years (September 2014 to February 2019). Overall, 125 (39.7%) reported poor treatment by health professionals and 102 (32.4%) reported being unable to access health care services when needed at least once over the study period. A total of 110 (34.9%) of participants reported sexual and/or gender minority identities, 106 (33.7%) reporting sexual minority identities, with 29 (9.2%) reporting gender minority identities. In multivariable analysis, adjusting for confounders, sexual minority identities, and combined sexual and/or gender minority identities were significantly associated with increased odds of experiencing poor treatment by health professionals (sexual minority adjusted odds ratio = 1.39 (0.94-2.05); sexual and/or gender minority adjusted odds ratio = 1.48 (1.00-2.18)) and being unable to access health services (sexual minority adjusted odds ratio = 1.89 (1.20-2.97); sexual and/or gender minority adjusted odds ratio = 1.91 (1.23-2.98)). In multivariable analysis, gender minority identities were not significantly associated with increased odds of experiencing poor treatment by health professionals (gender minority adjusted odds ratio = 1.38; 95% CI = 0.76-2.52) and being unable to access health services (gender minority adjusted odds ratio = 1.72; 95% CI = 0.89-3.31) possibly due to low sample size among women with gender minority identities. CONCLUSION: Our findings suggest the need for access to inclusive, affirming, trauma-informed health care services tailored specifically for and by women living with HIV with sexual and/or gender minority identities.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".