Telementoring initiative for newborn care providers in Kenya, Pakistan and Tanzania
Bibliographic record
Abstract
OBJECTIVES: To support governments' efforts at neonatal mortality reduction, UNICEF and the American Academy of Pediatrics launched a telementoring project in Kenya, Pakistan and Tanzania. METHODS: In Fall 2019, an individualised 12-session telementoring curriculum was created for East Africa and Pakistan after site visits that included care assessment, patient data review and discussion with faculty and staff. After the programme, participants, administrators and UNICEF staff were surveyed and participated in focus group discussions. RESULTS: Participants felt the programme improved knowledge and newborn care. Qualitative analysis found three common themes of successful telementoring: local buy-in, use of existing training or clinical improvement structures, and consideration of technology needs. CONCLUSIONS: Telementoring has potential as a powerful tool in newborn education. It offers more flexibility and easier access than in-person sessions. This project has the potential for scale-up, particularly when physical distancing and travel restrictions are the norm.
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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 | 0.003 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".