Awareness, acceptance, and impact of undetectable equals untransmittable (U = U) among people living with HIV across Canada
Bibliographic record
Abstract
Undetectable equals Untransmittable (U = U) is a pivotal tool for HIV prevention, stigma reduction, and improving quality of life for people living with HIV. This study examined awareness, acceptance, and impact of U = U among people living with HIV across Canada, and explored differences across sociodemographic characteristics. From 2018-2024, 1,083 participants were recruited in-person and online using snowball sampling. Peer researchers conducted interviews, initially in person and later mostly online due to COVID-19. Demographic data and U = U outcomes were collected and analyzed using multivariate logistic regression. Overall, 72% of participants had heard of U = U, 67% strongly accepted it, and 51% had discussed it with a healthcare provider. Awareness and acceptance were lower among heterosexual and bisexual participants. Cis-women and participants who were unemployed were less likely to report positive impacts from U = U. Black-identifying participants were more likely to report benefits, while Indigenous participants were more likely to believe U = U could reduce stigma and shift public opinion. Older participants were less likely to discuss U = U with a healthcare provider. Findings highlight U = U's potential to reduce stigma, but gaps remain in awareness, acceptance, and provider communication. Tailored strategies are needed to engage diverse communities and support healthcare providers in confidently sharing the zero-risk message.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".