Mother and newborn survival according to point of entry and type of human resources in a maternal referral system in Kayes (Mali)
Bibliographic record
Abstract
BACKGROUND: Since 2001, a referral system has been operating in Kayes (Mali) to reduce maternal and perinatal deaths. Normal deliveries are managed in community health centers (CHC). Complicated cases are referred to a district health center (DHC) or the regional hospital (RH). Women with obstetric emergencies can directly access the DHC and the RH. OBJECTIVE: To assess, in women presenting with an obstetric complication: 1) the effects of the point of entry into the referral system on joint mother-newborn survival; and 2) the effects of the configuration of healthcare team at the CHCs on joint mother-newborn survival. METHOD: Cross-sectional study of 7,214 women users of the referral system in the region of Kayes in 2006-2009. Bivariate probit equations were fitted to estimate joint mother-newborn survival. The marginal effects of the point of entry into the referral system and of the configuration of the healthcare team at the CHCs were evaluated with a probit bivariate regression. RESULTS: Entering the referral system at the RH was associated with the best joint mother-newborn survival; the most qualified the CHCs team was, the best was mother-newborn survival. Distance traveled interacts with the point of entry and the configuration of the CHCs team. For women coming from far (over 50 km), going directly to the RH increased the probability of joint mother-newborn survival by 11.90% (p < 0.001) as compared with entry at the CHC. Entry at the CHC while coming from a distance of less than 5 km increased the likelihood of joint survival by 8.50% (p < 0.001). Among women who go first to a CHC, physician presence increased joint mother-newborn survival, compared with having no physician and fewer than three professionals. The size of the healthcare team at the CHC is significantly associated with mother-newborn survival only when distance traveled is 5 km or less. CONCLUSION: Mother-newborn survival in the Kayes maternal referral system is influenced by combined effects of the point of care, the skill configuration of CHC personnel and distance traveled.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".