Factor Related to Maternal Mortality in Karawang District in Indonesia: Case-Control Study
Bibliographic record
Abstract
Improving maternal health by reducing maternal mortality is one of the Millennium Development Goals.The goal is to significantly reduce maternal mortality.This study aimed to recognize risk factors for maternal mortality in Karawang Regency.A case-control study was conducted analyzing data from 108 maternal deaths (cases) and 216 pregnancies.Multiple logistic regression was used to identify significant risk factors.Research shows several risk factors for maternal death.Women aged 20 to 35 or older have a 2.55 times greater risk of death than women aged 20-34.Furthermore, delay in seeking help increased the risk by 6.21 times (ORA = 6.21, 95% CI = 2.17-17.77,P = 0.001).Furthermore, delay in coming to the community health center increases the risk by 5.35 times.This research highlights the importance of reducing maternal mortality rates in Karawang Regency, addressing the risks associated with increasing age, and reducing delays in seeking help and reaching health facilities.The finding of this research can help improve maternal health outcomes and form the basis of strategies to achieve the Millennium Development Goals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".