Exploring associations between adolescent sexual and reproductive health stigma and HIV testing awareness and uptake among urban refugee and displaced youth in Kampala, Uganda
Bibliographic record
Abstract
Uganda, hosting over 1.3 million refugees, is a salient context for exploring HIV testing with urban refugee and displaced youth. We examined associations between stigma (HIV-related and adolescent sexual and reproductive health [SRH]-related) and HIV testing services awareness and HIV testing uptake among urban refugee and displaced youth in Kampala, Uganda. We implemented a cross-sectional survey with refugee and displaced adolescent girls and young women (AGYW) and adolescent boys and young men (ABYM) aged 16-24. We conducted exploratory and confirmatory factor analysis of an adolescent SRH stigma scale and identified a two-factor structure ("Sexual activity & pregnancy stigma","Modern family planning & abortion stigma"). We conducted multivariable logistic regression analysis to determine the adjusted risk ratio for HIV testing services awareness and testing uptake. Among participants (n=445; mean age=19.59, SD=2.60; AGYW: n=333; 74.7%), two-thirds were aware of HIV testing services in their community and over half (56.0%) had received a lifetime HIV test. In adjusted multivariable regression analysis findings with AGYW: (a) higher sexual activity & pregnancy stigma and modern family planning & abortion stigma were associated with reduced odds of HIV testing services awareness, and (b) modern family planning & abortion stigma was associated with reduced lifetime HIV testing odds. Stigma was not associated with HIV testing awareness/uptake among ABYM. HIV testing services awareness among AGYW was lower than among ABYM, yet AGYW were more likely to have been tested and to experience adolescent SRH stigma as a testing barrier. Addressing adolescent SRH stigma may optimise AGYW's HIV testing.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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 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".