“We don't exist”: a qualitative study of marginalization experienced by HIV‐positive lesbian, bisexual, queer and transgender women in Toronto, Canada
Bibliographic record
Abstract
BACKGROUND: Lesbian, bisexual, queer and transgender (LBQT) women living with HIV have been described as invisible and understudied. Yet, social and structural contexts of violence and discrimination exacerbate the risk of HIV infection among LBQT women. The study objective was to explore challenges in daily life and experiences of accessing HIV services among HIV-positive LBQT women in Toronto, Canada. METHODS: We used a community-based qualitative approach guided by an intersectional theoretical framework. We conducted two focus groups; one focus group was conducted with HIV-positive lesbian, bisexual and queer women (n = 7) and the second with HIV-positive transgender women (n = 16). Participants were recruited using purposive sampling. Focus groups were digitally recorded and transcribed verbatim. Thematic analysis was used for analyzing data to enhance understanding of factors that influence the wellbeing of HIV-positive LBQT women. RESULTS: Participant narratives revealed a trajectory of marginalization. Structural factors such as social exclusion and violence elevated the risk for HIV infection; this risk was exacerbated by inadequate HIV prevention information. Participants described multiple barriers to HIV care and support, including pervasive HIV-related stigma, heteronormative assumptions in HIV-positive women's services and discriminatory and incompetent treatment by health professionals. Underrepresentation of LBQT women in HIV research further contributed to marginalization and exclusion. Participants expressed a willingness to participate in HIV research that would be translated into action. CONCLUSIONS: Structural factors elevate HIV risk among LBQT women, limit access to HIV prevention and present barriers to HIV care and support. This study's conceptualization of a trajectory of marginalization enriches the discussion of structural factors implicated in the wellbeing of LBQT women and highlights the necessity of addressing LBQT women's needs in HIV prevention, care and research. Interventions that address intersecting forms of marginalization (e.g. sexual stigma, transphobia, HIV-related stigma) in community and social norms, HIV programming and research are required to promote health equity among LBQT women.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".