Stillbirth and neonatal mortality in Jordan: findings from Jordan stillbirths and neonatal deaths surveillance system
Bibliographic record
Abstract
BACKGROUND: Stillbirth and neonatal mortality declined significantly in high- and some middle-income countries since 2000 because of the significant improvements in obstetric and neonatal care. Yet, stillbirth and neonatal mortality rates remain high in many low- and middle-income countries. The main reason for low progress in reducing such stillbirths and neonatal deaths in Jordan is the scarcity of data on causes and contributing factors leading to these deaths. This study aimed to determine the rates, causes, and risk factors of stillbirth and neonatal mortality in Jordan. METHODS: An electronic stillbirth and neonatal deaths surveillance system was established in five large hospitals in Jordan. Anonymized data on all births, stillbirths, neonatal deaths, and their causes during the period May 2019-December 2020 were exported from the system and analyzed. RESULTS: A total of 29,592 women gave birth to 31,106 babies during a period of 20 months in the selected hospitals. The stillbirth rate was 10.5 per 1000 total births, the neonatal death rate was 14.2 per 1000 live births, and the perinatal death rate was 21.4 per 1000 total births. Of all neonatal deaths, 29.4% died within the first day of life and 77.8% died during the first week of life. For neonatal deaths that occurred pre-discharge, the leading causes of death were respiratory and cardiovascular disorders (35.0%), low birth weight and prematurity (32.7%), and congenital malformations, deformations, and chromosomal abnormalities (19.5%). Almost one third of stillbirths had an unspecified cause of death (33.3% of antepartum stillbirths and 28.9% of intrapartum stillbirths). Intrauterine hypoxia was responsible for 27.4% of antepartum stillbirths and 13.2% of intrapartum stillbirths. Congenital malformations, deformations, and chromosomal abnormalities contributed to 18.1% of antepartum stillbirths and 34.2% of intrapartum stillbirths. CONCLUSIONS: Several identified maternal and/or fetal conditions that contributed to stillbirths and/or neonatal deaths in Jordan are preventable. Focused care needs to be directed to high-risk pregnant women and neonates with low birthweight and respiratory problems.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".