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Record W4410879144 · doi:10.1186/s12978-025-01993-4

Stillbirth and neonatal mortality in Jordan: findings from Jordan stillbirths and neonatal deaths surveillance system

2025· article· en· W4410879144 on OpenAlex
Yousef Khader, Nihaya Al-Sheyab, Mohammad S. Alyahya, Khulood Kayed Shattnawi, Ahmad Y. Abu Dalou, Ziad El‐Khatib

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReproductive Health · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersInternational Development Research CentreUNICEF
KeywordsMedicineNeonatal deathInfant mortalityNeonatal mortalityMortality ratePediatricsObstetricsLow birth weightCause of deathReproductive medicinePregnancyPopulationFetusEnvironmental healthDisease

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.297
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it