Improving Access to Mental Health Services for Racialized Immigrants, Refugees, and Non-Status People Living with HIV/AIDS
Bibliographic record
Abstract
The demographic characteristics of people living with HIV/AIDS (PHAs) in Canada are increasingly diverse. Despite literature suggesting a potentially heightened mental health burden borne by racialized immigrant, refugee, and non-status PHAs (IRN-PHAs), researchers have hitherto paid insufficient attention to whether existing services adequately address this need and how services might be improved. Employing community-based research methodology involving PHAs from five ethnoracial groups in Toronto, Ontario, this study explored IRN-PHAs' mental health service-seeking behaviors, service utilization experiences, and suggestions for service improvements. Results showed that while most IRN-PHAs were proactive in improving their mental health, their attempts to obtain support were commonly undermined by service provider mistreatment, unavailability of appropriate services, and multiple access barriers. A three-pronged approach involving IRN-PHA empowerment, anti-stigma and cultural competence promotion, and greater service integration is proposed for improving IRN-PHAs' mental health service experience.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".