Envisioning Women-Centered HIV Care: Perspectives from Women Living with HIV in Canada
Bibliographic record
Abstract
Background: Women comprise nearly one-quarter of people living with human immunodeficiency virus (HIV) in Canada. Compared with men, women living with HIV experience inequities in HIV care and health outcomes, prompting a need for gendered and tailored approaches to HIV care. Method: Peer and academic researchers from the Canadian HIV Women's Sexual and Reproductive Health Cohort Study conducted focus groups to understand women's experience of seeking care, with the purpose of identifying key characteristics that define a women-centered approach to HIV care. Eleven focus groups were conducted with 77 women living with HIV across Quebec, Ontario, and British Columbia, Canada. Results: Women envisioned three central characteristics of women-centered HIV care, including i) coordinated and integrated services that address both HIV and women's health care priorities, and protect against exclusion from care due to HIV-related stigma, ii) care that recognizes and responds to structural barriers that limit women's access to care, such as violence, poverty, motherhood, HIV-related stigma, and challenges to safe disclosure, and iii) care that fosters peer support and peer leadership in its design and delivery to honor the diversity of women's experiences, overcome women's isolation, and prioritize women's ownership over the decisions that affect their lives. Conclusion: Despite advances in HIV treatment and care, the current care landscape is inadequate to meet women's comprehensive care needs. A women-centered approach to HIV care, as envisioned by women living with HIV, is central to guiding policy and practice to improve care and outcomes for women living with HIV in Canada.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.049 | 0.011 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".