Efficacy of interventions in improving adherence to antiretroviral therapy
Bibliographic record
Abstract
The aim of this paper is to perform a critical review of the effectiveness of interventions for the purpose of enhancing adherence to antiretroviral therapy. The overall evaluation indicates that research is in its early stages. Although pilot studies provide support for the feasibility of their protocols, and preliminary results also suggest their capacity to improve adherence, only three major trials have reported significant improvement in adherence. The issues that will have to be addressed by future studies include: (a) the need for a theoretical and empirical understanding of the phenomena; (b) adoption of a format that fits the attributes of the population; (c) the use of multiple strategies involving key providers; (d) a concise and precise schedule governing the frequency and intensity of the intervention; (e) a careful selection of direct outcome; and (f) appropriate time measurement. In sum, greater efforts to design and evaluate interventions are needed to lead to an increase in adherence and improvement in treatment effectiveness.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".