Findings From the Todurujo na Kadurok (Empowering Youth) HIV Self-Testing and Edutainment Comic Randomized Controlled Trial With Refugee Youth in a Humanitarian Setting in Uganda
Bibliographic record
Abstract
INTRODUCTION: Humanitarian settings are underserved by HIV self-testing (HIV-ST). METHODS: We conducted a randomized controlled trial to evaluate the effectiveness of HIV-ST (Arm 1), HIV-ST alongside edutainment comics (Arm 2), and edutainment comics (Arm 3), compared with the standard of care (SOC), in increasing HIV testing with refugee youth aged 16-24 in the Bidi Bidi Refugee Settlement, Uganda. Intervention effects on HIV testing at 3-month follow-up (T2) were assessed using generalized estimating equation models alongside open-ended questions. RESULTS: 117/120) at T2. In adjusted analyses compared with the SOC, HIV testing changes from baseline to T2 were highest in Arm 2 (adjusted odds ratio [aOR]: 8.46; 95% confidence interval [CI]: 2.87-24.97), followed by Arm 3 (aOR: 4.14; 95% CI: 1.58-10.87), with no significant differences in Arm 1. CONCLUSION: HIV self-testing is feasible for refugee youth in Uganda and can be supplemented with edutainment comics to advance HIV prevention efforts.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 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) | 0.007 | 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".