Social contextual factors associated with lifetime HIV testing among the Tushirikiane urban refugee youth cohort in Kampala, Uganda: Cross-sectional findings
Bibliographic record
Abstract
Background Urban refugee youth may live in social contexts characterized by structural drivers of HIV such as poverty and violence. Knowledge gaps remain regarding HIV testing practices among urban refugee youth, despite the increasing trend toward refugee settlement in urban contexts. This study examined social contextual factors associated with lifetime HIV testing among urban refugee youth in Kampala, Uganda. Methods We conducted a community-based study with a peer-recruited cohort of urban refugee youth aged 16–24 years living in Kampala’s informal settlements, and present baseline cross-sectional findings. We conducted descriptive statistics and logistic regression to examine socio-demographic (e.g., gender and age), material (e.g., income insecurity and education), relational (e.g., social support), and symbolic contexts (e.g., HIV-related stigma and intimate partner violence (IPV]) associated with lifetime HIV testing. Results Participants ( n = 450) had a mean age of 20.4 years (standard deviation: 2.4 years), most lived in Uganda for 1–5 years (53.2%), and less than half reported lifetime HIV testing (43.4%). In multivariable analyses, odds of lifetime HIV testing were higher among youth with secondary school education or higher (adjusted odds ratio (aOR]: 2.30, 95% confidence interval (CI]: 1.27–4.17), currently employed (aOR: 1.79, 95% CI: 1.03–3.10), and reporting IPV (aOR: 3.61, 95% CI: 1.43–9.10). Having children was marginally associated with HIV testing (aOR: 2.17, 95% CI: 0.98–4.81, p = 0.052). Conclusions Findings demonstrate suboptimal HIV testing and the importance of tailored strategies to reach urban refugee youth who are unemployed and have limited formal education. There is a need to meaningfully engage urban refugee youth to create enabling environments for sexual health.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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".