Characteristics of People Living With HIV Who Use Community-Based Services in Ontario, Canada: Implications for Service Providers
Bibliographic record
Abstract
Community-based AIDS service organizations (CBAOs) direct services to multiple-needs people living with HIV/AIDS who are less likely to use mainstream health promotion services. As people live longer with HIV, the potential to enhance quality of life increases, yet little is known about who uses CBAOs or how this use affects other health and social services. This study of people living with AIDS in Ontario, Canada (n = 297) examined the demographic and health-related characteristics of people with AIDS who do and do not use CBAOs and their patterns of mainstream service utilization. It found that users of CBAOs were significantly less healthy, less able to sustain normal activities, and more often depressed. They reported physical disabilities significantly more often. Their quality of life was also lower along certain dimensions. They were significantly poorer and more reliant on government income supports. They consumed significantly more nonhospital health and social services and had significantly higher out-of-pocket costs. These results suggest CBAOs are being accessed appropriately by those most vulnerable. In an effort to strengthen CBAO capacity to recognize and address depression and physical health problems prevalent among their clients, links to other mainstream health promotion and social services is recommended.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".