The Complexities of Accessing Care and Treatment: Understanding Alcohol Use by Aboriginal Persons Living with HIV and AIDS.
Bibliographic record
Abstract
The role of alcohol in the transmission of HIV and access to health services for persons living with HIV/AIDS is relatively unexamined across the globe. Our team's community-based, mixed methods study examined both of these questions from the perspectives of Aboriginal persons living in Canada with HIV/AIDS (APHA) and service providers (SP). A bilingual national survey was undertaken with APHAs and SPs and the findings were followed up on in peer interviews. A complex relationship was identified between alcohol use, perceptions of alcohol use and access to services. Nearly half of APHAs surveyed reported that alcohol played a role in their becoming HIV positive. APHAs and SPs differed in their assessment of the impact of alcohol in the lives of Aboriginal persons once diagnosed, with a far greater proportion of SPs identifying it as problematic. Both SPs and APHAs associated the misuse of alcohol with diminished health. Nearly half of the APHAs surveyed shared they had been told they were drinking by a SP when they were not, while over one-third reported ever being denied services because of drinking when in fact they were not. Both SPs and APHAs identified physical health and discrimination as key reasons. Notwithstanding these results that point to shortcomings in service provision, the data also reveal that most APHAs are recieving care in which their choices are respected and from providers they trust. The findings point to the need for a nuanced strategy to solidify the strengths and address the shortcomings in APHA's service provision.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".