Post-War Assessment of the Prevalence and Determinants of Unplanned Pregnancy Among Pregnant Women Attending Public Hospitals in Conflict-Zones of South Wollo, Northeast Ethiopia, 2022, Multi-Center Study
Bibliographic record
Abstract
Background: Worldwide, although unplanned pregnancy seems decreasing, 38% of pregnancies are unintended. In sub-Saharan Africa, unintended pregnancy accounts for more than a quarter of the 40 million pregnancies that occur annually. Objective: The study aimed to assess the prevalence and determinants of unplanned pregnancy among pregnant women attending public hospitals in conflict-zones of South Wollo zone, Northeast Ethiopia, 2022. Methods: A multi-center facility-based cross-sectional study was conducted from December 20, 2021 to February 30, 2022 among the hospitals of South Wollo zone that that were destructed by the armed conflict. Results: The prevalence of unplanned pregnancy in our study was 44.72% (CI=39.40– 48.08%). Conclusion: In this study nearly half of the pregnancies were unplanned, which is shocking to the health care system in the 21 st century. Keywords: unplanned pregnancy, armed conflict, post-war assessment, Ethiopia
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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 | 0.001 | 0.001 |
| 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".