Interventions to reduce gender-based violence among young people living with or affected by HIV/AIDS in low-income and middle-income countries
Bibliographic record
Abstract
OBJECTIVE(S): This study explored the effectiveness of gender-based violence (GBV) interventions on young people living with or affected by HIV in low- and middle-income countries (LMICs). DESIGN: Systematic review and meta-analysis. METHODS: We pre-registered a protocol, then searched 13 databases and grey literature. We screened randomized and quasi-experimental studies (n = 2199) of young people (aged 10-24) living with or affected by HIV in LMICs. Outcomes were GBV and/or GBV-related attitudes. We appraised the data for risk of bias and quality of evidence. Narrative syntheses and multilevel random effects meta-analyses were conducted. RESULTS: We included 18 studies evaluating 21 interventions. Intervention arms were categorized as: sexual health and social empowerment (SHSE; n = 7); SHSE combined with economic strengthening (n = 4); self-defence (n = 3); safer schools (n = 2); economic strengthening only (n = 2); GBV sensitization (n = 2) and safer schools and parenting (n = 1). Risk of bias was moderate/high and quality of evidence low. Narrative syntheses indicated promising effects on GBV exposure, but no or mixed effects on GBV perpetration and attitudes for self-defence and GBV sensitization interventions. Safer school interventions showed no effects. For SHSE interventions and SHSE combined with economic strengthening, meta-analyses showed a small reduction in GBV exposure but not perpetration. Economic-only interventions had no overall effect. CONCLUSION: SHSE, SHSE plus and self-defence and gender sensitization interventions may be effective for GBV exposure and GBV-related attitudes but not for GBV perpetration. However, the quality of evidence is poor. Future intervention research must include both boys and girls, adolescents living with HIV and key populations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".