Effectiveness of an intervention to improve ART adherence among men who have sex with men living with HIV: a randomized controlled trial in three public HIV clinics in Mexico
Bibliographic record
Abstract
We conducted a parallel-group randomized controlled trial in three HIV clinics in Mexico to evaluate a user-centred habit-formation intervention to improve ART adherence among MSM living with HIV. We randomized 74 participants to the intervention group and 77 to the control group. We measured adherence at one, four, and ten months through medication possession ratio and self-reported adherence. Additionally, we measured viral load, CD4 cell count, major depression disorder symptoms, and alcohol and substance use disorder at baseline, fourth and tenth months. We found no statistically significant effect on adherence between groups. However, the intervention demonstrated positive results in major depression disorder symptoms (21% vs. 6%, p = 0.008) and substance use disorder (11% vs. 1%, p = 0.018) in the fourth month. The latter is relevant because, in addition to its direct benefit, it might also improve the chances of maintaining adequate adherence in the long term. This trial was retrospectively registered at ClinicalTrials.gov (trial number NCT03410680) on 8 January 2018.Trial registration: ClinicalTrials.gov identifier: NCT03410680.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".