HIV Prevention and Treatment Interventions for Black Men Who Have Sex With Men in Canada: Scoping Systematic Review (Preprint)
Bibliographic record
Abstract
BACKGROUND Black men who have sex with men (MSM) experience disproportionately high HIV incidence globally. A comprehensive, intersectional approach (race, gender, and sexuality or sexual behavior) in understanding the experiences of Black MSM in Canada along the HIV prevention and care continuums has yet to be explored. OBJECTIVE This scoping review aims to examine the available evidence on the access, quality, gaps, facilitators, and barriers of engagement and identify interventions relevant to the HIV prevention and care continuum for Black MSM in Canada. METHODS We conducted a systematic database search, in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, of the available studies on HIV health experience and epidemiology concerning Black MSM living with or without HIV in Canada and were published after 1983 in either English or French. Searched databases include MEDLINE, Excerpta, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, the NHUS Economic Development Database, Global Health, PsycInfo, PubMed, Scopus, and Web of Science. From the 3095 articles identified, 19 met the inclusion criteria and were analyzed. RESULTS Black MSM in Canada consistently report multiple forms of stigma and lack of community support contributing to an increased HIV burden. They experience discrimination based on their intersectional identities while accessing HIV preventative and treatment interventions. Available data demonstrate that Black MSM have higher HIV incidences than Black men who have sex with women (MSW) and White MSM, and low preexposure prophylaxis knowledge and HIV literacy. Black MSM experience significant disparities in HIV prevention and care knowledge, access, and use. Structural barriers, including anti-Black racism, homophobia, and xenophobia, are responsible for gaps in HIV prevention and care continuums, poor quality of care and linkage to HIV services, as well as a higher incidence of HIV. CONCLUSIONS Considering the lack of targeted interventions, there is a clear need for interventions that reduce HIV diagnoses among Black MSM, increase access and reduce structural barriers that significantly affect the ability of Black MSM to engage with HIV prevention and care, and address provider’s capacity for care and the structural barriers. These findings can inform future interventions, programming, and tools that may alleviate this HIV inequity. INTERNATIONAL REGISTERED REPORT RR2-10.1136/bmjopen-2020-043055
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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 | 0.014 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.012 | 0.021 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".