Relationship between Birth Interval and The Risk of Postpartum Hemorrhage at Rsia Kirana Hospital in Sidoarjo, East Java
Bibliographic record
Abstract
ABSTRACT Background: Postpartum hemorrhage is a significant cause of maternal death; a quarter of maternal mortality is caused by bleeding and is more common in mothers in Indonesia compared to incidents abroad. Bleeding occupies the highest percentage of causes of maternal death (28%). The risk factors that can cause postpartum hemorrhage are grand multipara, short labour interval of fewer than 2 years, and labour performed with surgery. This study aimed to determine the relationship between birth spacing and postpartum hemorrhage in mothers who gave birth at RSIA Kirana, Taman – Sidoarjo. Subjects and Method: This was a quantitative study with analytical survey method. The approach used in this research is observational. A total sampel 41 maternities. The dependent variable was incidence of postpartum hemorrhage. The independent variable was birth spacing. The data were collected by observation. The data was analyzed by Chi – Square. Results: Postpartum hemorrhage was more likely to occur in respondents with a birth spacing of less than 2 years (OR= 0.17; 95% CI= 0.04 to 0.66; p= 0.019) Conclusion: Most of the postpartum women with birth spacing <2 years experienced postpartum hemorrhage. Keywords: Birth Distance, Postpartum Hemorrhage Incidence Correspondence: Maria Manda Puspita. Universitas ‘Aisyiyah Yogyakarta, Yogyakarta. Email: mandamaria13@gmail.com. Mobile: 082230354995 DOI: https://doi.org/10.26911/the7thicph.03.42
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".