Acceptability of long-acting antiretroviral therapy among people living with HIV who use drugs in Vancouver, Canada: A qualitative study
Bibliographic record
Abstract
BACKGROUND: People living with HIV (PLHIV) who use drugs face overlapping social-structural inequities that contribute to suboptimal adherence to antiretroviral therapy (ART). Recent research suggests that long-acting antiretroviral therapy (LA-ART) can offer an important alternative to daily oral ART by mitigating adherence barriers, but this work has largely excluded PLHIV who use drugs. We, therefore, explored the acceptability of injectable and transdermal LA-ART among PLHIV who use drugs in Canada, which has no-cost universal access to oral ART. Greater understanding of PLHIV who use drugs' perspectives on LA-ART will be essential to fully leverage treatment advances and maximize its individual- and population-level benefits. METHODS: From February 2019 to February 2020, we conducted in-depth interviews with 33 PLHIV who use drugs in Vancouver, Canada with suboptimal ART adherence (i.e., ≦ 50%). Participants were recruited for interviews through a prospective cohort study. Interviews were audio-recorded, transcribed, and analyzed using inductive and deductive approaches. RESULTS: Our analysis identified key factors shaping LA-ART acceptability. First, LA-ART enthusiasm was highest among participants who were less satisfied with oral ART regimens due to pill burden or adverse side effects for oral ART and participants who struggled with daily adherence due substance use and social-structural factors (e.g., homelessness, incarceration). Moreover, participants who had physicians they trusted identified their physicians as credible sources of information on LA-ART, and indicated a desire for informed and shared decision-making regarding treatment changes. Finally, participants emphasized that there is no one-size-fits-all treatment approach for PLHIV who use drugs and highlighted the importance of access to a full range of available treatment options, including LA-ART. CONCLUSIONS: There is potential for high LA-ART uptake among PLHIV who use drugs, particularly those who experience adherence barriers due to their substance use and structural vulnerability. While our findings are limited by the specific population and setting, they nevertheless underscore the need for efforts to ensure universal and equitable access to LA-ART.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".