Self-reported maternal morbidity: Results from the community level interventions for pre-eclampsia (CLIP) baseline survey in Sindh, Pakistan
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Community-based data regarding maternal and perinatal morbidity and mortality are scarce in less-developed countries. The aim of the study was to collect representative community-level demographic health information to provide socio-demographic and health outcome data. METHODS: A retrospective household survey of women of reproductive age (15-49 years) living in two districts of Sindh Province, Pakistan was conducted. Pregnancy incidence over the past 12 months and during each woman's lifetime; maternal, fetal, infant and child deaths in the past 12 months; and rates of hypertension and seizures in pregnancy were calculated. RESULTS: From June to September 2013, 88,410 households were surveyed with 1.2 (±0.6) women of reproductive age per household. 19,584 women (11.9%) reported pregnancies in the preceding 12 months; 83.0% had live births, 3.5% resulting in stillbirths and 13.6% in miscarriages. 34.2% of deliveries occurred at home. Out of all women who reported a pregnancy in past 12 months, 62.1% reported high blood pressure and 11.9% reported seizures complicating her most recent pregnancy. Blood pressure was not measured during survey to confirm hypertension. The perinatal, neonatal and maternal mortality ratios were 64.7/1000, 39/1000 and 166/100,000 livebirths, respectively. CONCLUSION: This study estimated population-level mortality ratios that can be used for the planning of health interventions in these regions. Self-reported pregnancy hypertension and seizures was inaccurate, reflecting limited community understanding of these disorders. Mortality estimates are comparable to those reported by the World Health Organization for maternal mortality ratio and neonatal mortality rate of 170/100,000 and 36/1000 live births, respectively.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 it