Innovative Product Development Partnership Reduced Neonatal Mortality In Nepal Through Improved Umbilical Cord Care
Bibliographic record
Abstract
Approximately 40 percent of all newborn deaths in Nepal are attributable to neonatal infections. A randomized controlled trial conducted in Nepal in the period 2002-05 on the application of a solution of the disinfectant chlorhexidine to umbilical cord stumps of newborns showed a reduced risk of infections and death. In response to these results, the Government of Nepal and various partners mobilized to deliver this simple, low-cost intervention on a national scale. We describe the design, development, and maturation of a partnership among the government, technical assistance agencies, and a local pharmaceutical company to create a suitable, commercially available gel product to reduce newborn infections. Essential contributors to the partnership's effectiveness included having a for-profit pharmaceutical company as a fully engaged partner; having responsive, flexible relationships among the partners that evolved over time; and paying attention to competition within the private sector. A less formalized arrangement among partners allowed them to build trust in each other over time. Government stewardship of the program throughout the scale-up process ensured that policy and systems integration were aligned as the program matured.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".