Urban Refugee Youth’s Recommendations for Sexual and Mental Health Promotion: Qualitative Insights From Kampala, Uganda
Bibliographic record
Abstract
Refugee youth in Kampala, Uganda, face a unique sexual reproductive health and mental health risk environment requiring focused interventions. Resource limitations and access barriers complicate the provision of relevant supports. Few studies have engaged refugee youth's recommendations for satisfying their sexual and mental health needs. This cross-sectional, qualitative study aimed to identify urban refugee youth's sexual and mental health promotion preferences. We administered a structured survey to refugee youth in Kampala (n = 54) between July and November 2023 using the qualitative data collection platform, Sensemaker and analyzed survey responses using inductive thematic analysis (ITA). Two themes emerged: health promotion and youth empowerment. Participants proposed sexual and mental health promotion recommendations directed at distinct stakeholder groups including policymakers/service providers and peers. There were several points of overlap between the sexual and mental health promotion recommendations, including calls for counseling services, health education, and employment opportunities. Youth empowerment was a central theme underwriting both sexual and mental health recommendations. By differentiating between recommendations directed at distinct stakeholder groups, this study identified opportunities for non-governmental actors to contribute to promoting the sexual and mental health of refugee youth in Kampala. Participant insights show how engagement with urban refugee youth's health promotion recommendations can empower youth and ensure that service design and delivery is consistent with their knowledge, needs, and preferences.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".