Prevalence, determinants, and impact of suboptimal adherence to HIV medication in 25 countries
Bibliographic record
Abstract
Modern antiretroviral therapy (ART) has improved the lives of people living with HIV (PLHIV) but currently requires daily adherence. We assessed prevalence and correlates of suboptimal adherence, and measured associations with self-reported health outcomes. Data were from web-based surveys of confirmed HIV+ adults on antiretroviral treatment within 25 countries during 2019 (n = 2389). Suboptimal adherence was a report of ≥1 reason for missing ART ≥5 times within the past month. Multivariable logistic regression examined associations between suboptimal adherence and self-reported overall health and virologic suppression. Overall, 24.1% (575/2389) reported suboptimal adherence, from 10.0% (5/50) in Austria, to 62.0% (31/50) in China. The most common reasons for missing ART ≥5 times in the overall population were feeling depressed/overwhelmed (7.4%, 176/2389), trying to forget about HIV (7.0%, 168/2389), and work (6.1%, 145/2389). Correlates of suboptimal adherence included being heterosexual, <50 years old, ≤high school, having gastrointestinal treatment side effects, and privacy concerns. Odds of suboptimal overall health were 1.41 (95%CI, 1.11-1.80), 2.10 (95%CI, 1.65-2.68), and 2.55 (95%CI, 2.00-3.25) among those who reported the maximum number of times missed ART for any reason within the past month as 1, 2-4, or ≥5 times respectively, vs not missing at all. Odds of virologic nonsuppression were 1.80 (95%CI, 1.33-2.45), and 2.24 (95%CI, 1.66-3.02) for 2-4, or ≥5 times of missed ART respectively, vs not missing at all; missing for only 1 time was not significantly associated with virologic nonsuppression. Novel ART strategies designed to improve adherence along with interventions to empower PLHIV and support self-medication may improve health outcomes and quality of life.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".