Life goes on: the resilience of maternal primary care during the Ebola outbreak in rural Sierra Leone
Bibliographic record
Abstract
Setting: All 100 health facilities providing maternal services in Moyamba, Sierra Leone, a rural district that experienced a smaller Ebola outbreak than other areas. Objective: To compare trends in antenatal care (the first and fourth visit [ANC1 and ANC4]), delivery, and postnatal care (PNC1) service utilisation before, during and after the Ebola outbreak (2014–2016). Design: Cross-sectional study using secondary programme data. Results: A total of 211 Ebola cases occurred in Moyamba District. The mean number of monthly ANC visits remained stable over time, except for the subset of care provided via outreach visits where, compared with before the outbreak ( n = 390), ANC1 visits declined during ( n = 331, P = 0.002) and after the outbreak ( n = 342, P = 0.03). Most (>97%) deliveries occurred in health facilities, assisted by maternal and child health aides (>80%). During the outbreak, the mean number of community-based deliveries per month declined from 31 to 21 ( P = 0.03), and the mean number of deliveries performed by midwives increased from 49 to 78 ( P < 0.001) compared with before the outbreak. Before, during and after Ebola, there was no significant change in the mean number of live births (respectively n = 1134, n = 1110, n = 1162), maternal PNC1 (respectively n = 1110, n = 1105, n = 1165) or neonatal PNC1 (respectively n = 1028, n = 1050, n = 1085). Conclusion: In a rural district less affected by Ebola transmission than other areas, utilisation of maternal primary care remained robust, despite the outbreak.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".