Sexually transmitted infection testing awareness, uptake and diagnosis among urban refugee and displaced youth living in informal settlements in Kampala, Uganda: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Sexually transmitted infection (STI) prevention needs among urban refugee and displaced youth are understudied. The study objective was to explore factors associated with the STI prevention cascade (STI services awareness, testing, diagnosis) among urban refugee and displaced youth in Kampala, Uganda. METHODS: We implemented a cross-sectional survey with youth aged 16-24 years in informal settlements in Kampala. We conducted bivariate and multivariable logistic regression analyses to identify social ecological (intrapersonal, interpersonal, community) level factors associated with STI testing services awareness, lifetime STI testing, and lifetime STI diagnosis. RESULTS: Participants (n=445; mean age 19.3, SD 2.6, years) included young women (n=333, 74.8%) and young men (n=112, 25.2%). Less than half (43.8%) were aware of community STI services. One-quarter (26.1%) reported lifetime STI testing. Of these, 39.5% reported a lifetime STI diagnosis. In multivariable analyses among young women, age, lifetime sex partners, and lower adolescent sexual and reproductive health (SRH)-related stigma were associated with STI services awareness; and age, lower adolescent SRH-related stigma, and food security were associated with STI testing. Among young men, time in Uganda and lower HIV-related stigma were associated with STI services awareness; and age, condom self-efficacy, and increased adolescent SRH-related stigma were associated with testing. Lifetime sex partners, lower condom self-efficacy, and lower adolescent SRH-related stigma were associated with lifetime STI diagnosis. CONCLUSIONS: Social ecological factors including stigma (adolescent SRH-related, HIV-related) were associated with STI testing and diagnosis among young urban refugees. Gender, age and stigma-tailored strategies can advance the STI prevention cascade among urban young refugees.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.001 | 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".