A Systematic Review of Oral Pre-exposure Prophylaxis HIV Adherence Interventions
Bibliographic record
Abstract
ABSTRACT: Clinical trials of pre-exposure prophylaxis (PrEP) to prevent HIV infection have established its efficacy as upwards of 99%. Despite this, the effectiveness of this medication has been shown to be diminished by individual factors, such as medication adherence. We completed a systematic review to identify and describe interventions to improve oral PrEP adherence. Overall, 16 articles were located. Two of the articles reported on results from the same trial and were collapsed for analysis, bringing the total to 15 studies. Twelve unique PrEP adherence interventions were tested, with the most common intervention being the use of mobile phone technology, which was used in 7 (46%) of the studies. Ten (67%) studies found that medication adherence improved when participants received an intervention to support adherence. Adherence intervention strategies effectively improved PrEP adherence. Further research into PrEP adherence interventions is warranted, particularly among diverse groups.
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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 | 0.007 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.006 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".