Impact of Facility- and Community-Based Peer Support Models on Maternal Uptake and Retention in Malawi's Option B+ HIV Prevention of Mother-to-Child Transmission Program: A 3-Arm Cluster Randomized Controlled Trial (PURE Malawi)
Bibliographic record
Abstract
BACKGROUND: Many sub-Saharan African countries have adopted Option B+, a prevention of mother-to-child transmission approach providing HIV-infected pregnant and lactating women with immediate lifelong antiretroviral therapy. High maternal attrition has been observed in Option B+. Peer-based support may improve retention. METHODS: A 3-arm stratified cluster randomized controlled trial was conducted in Malawi to assess whether facility- and community-based peer support would improve Option B+ uptake and retention compared with standard of care (SOC). In SOC, no enhancements were made (control). In facility-based and community-based models, peers provided patient education, support groups, and patient tracing. Uptake was defined as attending a second scheduled follow-up visit. Retention was defined as being alive and in-care at 2 years without defaulting. Attrition was defined as death, default, or stopping antiretroviral therapy. Generalized estimating equations were used to estimate risk differences (RDs) in uptake. Cox proportional hazards regression with shared frailties was used to estimate hazard of attrition. RESULTS: Twenty-one facilities were randomized and enrolled 1269 women: 447, 428, and 394 in facilities that implemented SOC, facility-based, and community-based peer support models, respectively. Mean age was 27 years. Uptake was higher in facility-based (86%; RD: 6%, confidence interval [CI]: -3% to 15%) and community-based (90%; RD: 9%, CI: 1% to 18%) models compared with SOC (81%). At 24 months, retention was higher in facility-based (80%; RD: 13%, CI: 1% to 26%) and community-based (83%; RD: 16%, CI: 3% to 30%) models compared with SOC (66%). CONCLUSIONS: Facility- and community-based peer support interventions can benefit maternal uptake and retention in Option B+.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".