Unmet needs among men with human immunodeficiency virus in community mental health care: a cross-sectional study
Bibliographic record
Abstract
While community-based mental health services play an important role in caring for persons with HIV (human immunodeficiency virus) and co-existing mental health disorders, the extent to which their support needs are addressed in this setting is unknown. Accordingly, we examined if HIV infection was associated with unmet support needs among men living with and without HIV receiving community mental health care. This cross-sectional study examined 215 men (135 living with HIV and 80 without HIV) receiving case management services in urban Ontario. Using the Camberwell Assessment of Need, we ascertained the prevalence of support needs in 13 domains grouped into three clusters: Basic needs (accommodation, food, benefits, and money management); self-care/functional needs (daytime activities, self-care, and looking after the home); and health/safety needs (physical, psychological distress, psychotic symptoms, safety to self, and safety to others). We used generalized estimating equations with a logit link to examine the association between HIV and unmet need in each domain. Compared to HIV-negative men, men with HIV were more likely to have mood and concurrent disorders, and intellectual and developmental disabilities. Following multivariable analyses, men with HIV had greater unmet needs related to food (odds ratio + 95% confidence interval: 9.36 (4.03, 21.75), p < 0.001); money (OR: 1.90 (1.04, 3.47), p = 0.036) [basic need domains]; psychological distress (OR: 2.39 (1.68, 3.41), p < 0.001); drug use (OR: 5.10 (2.16, 12.08) p < 0.001); and safety to self (OR: 3.35 (1.51, 7.52), p < 0.003) [health and safety domains]. Despite living in a setting with universal health insurance, men with HIV receiving community mental health support had greater unmet need in basic and health domains than HIV-negative men receiving such support. Further research is required to develop and evaluate interventions to best support community-dwelling persons with HIV and mental health disorders.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".