Barriers and Facilitators to Promoting Resilience to HIV/AIDS: A Qualitative Study on the Lived Experiences of HIV-Positive, Racial and Ethnic Minority, Middle-Aged and Older Men Who Have Sex with Men from Ontario, Canada
Bibliographic record
Abstract
Evidence-based research has highlighted the need for exploring factors that support the mental health of men who have sex with men living with HIV/AIDS (MSMLWH), and environmental influences that promote their resilience to HIV/AIDS. This exploratory study utilized a community-based participatory research approach to investigate barriers and facilitators to promoting resilience to HIV/AIDS, specifically among racial and ethnic minority, middle-aged and older MSMLWH, a population that continues to be significantly impacted by HIV/AIDS today. This collaborative, qualitative study recruited participants who identified as racial or ethnic minority MSMLWH, were aged 40 or older, and resided in Ontario, Canada. Participants (n = 24) discussed in their interviews barriers and facilitators to promoting resilience to HIV/AIDS, which they recognized from their lived experiences. Utilizing thematic analysis, themes related to barriers and facilitators to promoting resilience to HIV/AIDS were identified. Themes related to identified barriers included: (1) language proficiency, (2) racism, (3) pernicious norms in North American gay culture, and (4) HIV stigma. Themes related to identified facilitators included: (1) compartmentalization, (2) perseverance, and (3) community-based health and social services. This article discusses the implications of the study’s findings, particularly on how they may influence the development of future services for racial and ethnic minority, middle-aged and older MSMLWH.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".