Acceptability of a Pilot Intervention of Voluntary Medical Male Circumcision and HIV Education for Street-Connected Youth in Western Kenya
Bibliographic record
Abstract
PURPOSE: Street-connected youth (SCY) in Kenya and elsewhere in sub-Saharan Africa are at high risk of HIV. Voluntary Male Medical Circumcision (VMMC) reduces the risk of female-to-male HIV transmission. Circumcision is also a traditional coming-of-age process in many Kenyan ethnic groups. This paper describes the acceptability of VMMC delivered as part of a ten-day healing, educational, and 'coming-of-age' retreat implemented as a pilot with SCY. METHODS: Male SCY aged between 12 and 24 living on the street for more than 3 months were eligible to participate. The study took place over 10 days. After medical circumcision, youth participated in education modules. Data collected included qualitative semi-structured exit interviews featuring structured and open-ended questions about factors relevant to this intervention's acceptability. RESULTS: There were 116 SCY (median age 14, IQR 13-15) who participated in the study. All were circumcised successfully, with no major complications. The majority of participants (81%) agreed that the circumcision procedure was uncomplicated, and 99% agreed the education was an important part of the initiation process. Thematic analysis of interview data highlighted four factors important to the program's acceptability: providing food, shelter, security; providing a safe place to heal; including traditional elements; and being with peers. CONCLUSIONS: This novel implementation of VMMC was found to be acceptable to SCY participants and could likely be adapted and scaled for HIV prevention and education with SCY elsewhere in Kenya and sub-Saharan Africa where circumcision is part of traditional coming-of-age processes.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".