Improved access to comprehensive emergency obstetric care and its effect on institutional marternal mortality in rural Mali
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of a national referral system that aims to reduce maternal mortality rates through improving access to and the quality of emergency obstetric care in rural Mali (sub-Saharan Africa). METHODS: A maternity referral system that included basic and comprehensive emergency obstetric care, transportation to obstetric health services and community cost-sharing schemes was implemented in six rural health districts in Kayes region between December 2002 and November 2005. In an uncontrolled 'before and after' study, we recorded all obstetric emergencies, major obstetric interventions and maternal deaths during a 4-year observation period (1 January 2003 to 30 November 2006): the year prior to the intervention (P-1); the year of the intervention (P0), and 1 and 2 years after the intervention (P1 and P2, respectively). The primary outcome was the risk of death among obstetric emergency patients, calculated with crude case fatality rates and crude odds ratios. Analyses were adjusted for confounding variables using logistic regression. FINDINGS: The number of women receiving emergency obstetric care doubled between P-1 and P2, and the rate of major obstetric interventions (mainly Caesarean sections) performed for absolute maternal indications increased from 0.13% in P-1 to 0.46% in P2. In women treated for an obstetric emergency, the risk of death 2 years after implementing the intervention was half the risk recorded before the intervention (odds ratio, OR: 0.48; 95% confidence interval, CI: 0.30-0.76). Maternal mortality rates decreased more among women referred for emergency obstetric care than among those who presented to the district health centre without referral. Nearly half (47.5%) of the reduction in deaths was attributable to fewer deaths from haemorrhage. CONCLUSION: The intervention showed rapid effects due to the availability of major obstetric interventions in district health centres, reduced transport time to such centres for treatment, and reduced financial barriers to care. Our results show that national programmes can be implemented in low-income countries without major external funding and that they can rapidly improve the coverage of obstetric services and significantly reduce the risk of death associated with obstetric complications.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".