Building a national direction for research in the prevention of mother to child transmission of HIV: results from a national prioritization initiative in Malawi
Bibliographic record
Abstract
BACKGROUND: In 2011, Malawi initiated an ambitious program for the prevention of maternal to child transmission (PMTCT) of HIV, called 'Option B+,' which employs a universal test and life-long treatment strategy for all pregnant women. Priority setting should take place in defining a national research agenda for evaluating Option B + rollout in Malawi. METHODS: In April 2011, a three-day workshop took place for all major stakeholders in PMTCT aiming to provide an update on current PMTCT operational research in Malawi, find consensus on key questions not yet being addressed, identify opportunities for collaboration, and develop multi-partner research proposals. RESULTS: Overall, 24 participants attended the workshop including representatives from the Ministry of Health, the National AIDS Commission and 12 multilateral, non-governmental organizations and academic partners.Three interrelated clusters emerged as priorities for research: i) pregnancy intentions and family planning needs; ii) evaluation of models of care; and iii) determinants of uptake, adherence, and retention of women for Option B+. In addition, two cross-cutting themes arose: partner involvement in PMTCT services and cost-effectiveness as a guide to priority setting. Within each cluster a coordinator was designated and a proposed plan for research and potential collaborators were discussed. The results of the workshop were presented to the national technical working groups and the National AIDS Commission. Several large-scale, collaborative proposals have been developed and funded to address the research areas defined. CONCLUSIONS: Option B + represents a significant change in PMTCT policy in Malawi and the process for evaluation of the Malawi PMTCT strategy is outlined. This workshop contributed to defining and coordinating the national agenda for research priorities.
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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 | 0.034 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".