Requirements and costs for scaling up comprehensive emergency obstetric and neonatal care in health centres in Tanzania
Bibliographic record
Abstract
The objective of this study was to identify and determine the costs of essential components of a resource package and strategies for scaling up comprehensive emergency obstetric and neonatal care services in Tanzania. Essential components were identified through lessons learned during implementation of comprehensive emergency obstetric and neonatal care and regular discussions with key stakeholders. The related costs were collected from the health centres, Tanzania Medical Store Department and non-governmental organizations that had upgraded health centres for comprehensive emergency obstetric and neonatal care services provision. The results showed that the estimated costs of upgrading a health centre to provide comprehensive emergency obstetric and neonatal care services was $256,650 (USD) for infrastructure and equipment, $4,463 per person for upgrading skills in either in comprehensive emergency obstetric and neonatal care or anaesthesia for three months and $43,500 per year for medicines and supplies. The total cost for all components per health centre was estimated at $560,802. Scale up required many complementary strategies at all health system levels. Scale up of comprehensive emergency obstetric and neonatal care services in health ccentres in underserved areas is feasible and urgently needed in resource-limited countries. (Afr J Reprod Health 202 1; 25[3s]: 84-91 ).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".