Lessons from the integrated community case management (iCCM) Rapid Access Expansion Program
Bibliographic record
Abstract
In 2012, the Government of Canada awarded a grant to the World Health Organization's Global Malaria Programme (GMP) to support the scale-up of integrated community case management (iCCM) of pneumonia, diarrhoea and malaria among children under 5 in sub-Saharan Africa under the Rapid Access Expansion Programme (RAcE). The two main objectives of the programme were to: (1) Contribute to the reduction of child mortality due to malaria, pneumonia and diarrhoea by increasing access to diagnostics, treatment and referral services, and (1) Stimulate policy updates in participating countries and catalyze scale-up of integrated community case management (iCCM) through documentation and dissemination of best practices. Based on the results of the implementation research and programmatic lessons, this collection provides evidence on impact and improving coverage of iCCM in routine health systems, and opportunities and challenges of implementing and sustaining delivery of iCCM at scale.
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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 | 0.018 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".