The Prevalence, Correlates, and Costs of Depression in People Living With HIV/AIDS in Ontario: Implications for Service Directions
Bibliographic record
Abstract
As new technologies extend the lives of people living with HIV/AIDS (PHA), the need increases for services that optimize their quality-of-life cost effectively. This study of PHAs (n = 297) in Ontario, Canada, examined the prevalence of depression, and its association with quality-of-life, coping strategies, social support, and use of health and social services. Results showed that depression was widespread (54.2%) and largely unrelated to demographic characteristics, but associated with diminished health status, health-related quality-of-life, and coping strategies. Depressed PHAs used significantly more crisis health care and related services, and community-based HIV/AIDS service organizations (ASOs). Findings suggest quality-of-life of PHAs may be improved by expanding the capacity of ASO workers to recognize and address depression, including helping depressed PHA access appropriate medication and sustain medication regimes.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".