Neonatal Birth Trauma and Its Predisposing Factors Among Newborns Admitted to Public Hospitals in Eastern Ethiopia: A Cross-Sectional Study

Incidence, contributing factors and outcomes of birth injury among newborns in Africa: a systematic review of quantitative evidence protocol

INTRODUCTION

Birth injury is a significant public health problem in Africa, with a high incidence and associated mortality and morbidity. Systematic reviews that indicate the incidence, contributing factors and outcomes of birth injury in Africa provide valuable evidence to policy-makers and programme planners for improving prevention and treatment strategies. Therefore, this review is aimed to evaluate the incidence, contributing factors and outcomes of birth injury among newborns in Africa.

METHODS AND ANALYSIS

The data will be searched and extracted from JBI Database, Cochrane Database, MEDLINE/PubMed, CINAHL/EBSCO, EMBASE, PEDro, POPLINE, Proquest, OpenGrey (SIGLE), Google Scholar, Google, APA PsycInfo, Web of Science, Scopus and HINARI. Unpublished studies and grey literature will be searched from different sources. This systematic review will include quantitative observational studies, registry and census data, and experimental studies that report on the prevalence or incidence in Africa from 1 January 1990 to 30 September 2023. The Joanna Briggs Institute (JBI) quality appraisal checklist will be used to select eligible studies. Two researchers will independently appraise and extract the data from included studies and resolve discrepancies through discussion. Heterogeneity will be assessed using forest plots and the I2 statistic. If substantial heterogeneity is present, a random-effects model will be used to pool the data. Subgroup analyses will be used to explore the potential sources of heterogeneity. Publication bias will be assessed using funnel plots and Egger's regression test. The software package used to conduct the meta-analysis will be JBI SUMARI. An association will be considered significant if the p<0.05.

ETHICS AND DISSEMINATION

Ethical clearance is not needed for this systematic review and the results will be shared with relevant stakeholders to maximise reach and impact.

PROSPERO REGISTRATION NUMBER

CRD42023123637.

Neonatal mortality risk of vulnerable newborns by fine stratum of gestational age and birthweight for 230 679 live births in nine low- and middle-income countries, 2000-2017

OBJECTIVE

To describe the mortality risks by fine strata of gestational age and birthweight among 230 679 live births in nine low- and middle-income countries (LMICs) from 2000 to 2017.

DESIGN

Descriptive multi-country secondary data analysis.

SETTING

Nine LMICs in sub-Saharan Africa, Southern and Eastern Asia, and Latin America.

POPULATION

Liveborn infants from 15 population-based cohorts.

METHODS

Subnational, population-based studies with high-quality birth outcome data were invited to join the Vulnerable Newborn Measurement Collaboration. All studies included birthweight, gestational age measured by ultrasound or last menstrual period, infant sex and neonatal survival. We defined adequate birthweight as 2500-3999 g (reference category), macrosomia as ≥4000 g, moderate low as 1500-2499 g and very low birthweight as <1500 g. We analysed fine strata classifications of preterm, term and post-term: ≥42+0 , 39+0 -41+6 (reference category), 37+0 -38+6 , 34+0 -36+6 ,34+0 -36+6 ,32+0 -33+6 , 30+0 -31+6 , 28+0 -29+6 and less than 28 weeks.

MAIN OUTCOME MEASURES

Median and interquartile ranges by study for neonatal mortality rates (NMR) and relative risks (RR). We also performed meta-analysis for the relative mortality risks with 95% confidence intervals (CIs) by the fine categories, stratified by regional study setting (sub-Saharan Africa and Southern Asia) and study-level NMR (≤25 versus >25 neonatal deaths per 1000 live births).

RESULTS

We found a dose-response relationship between lower gestational ages and birthweights with increasing neonatal mortality risks. The highest NMR and RR were among preterm babies born at <28 weeks (median NMR 359.2 per 1000 live births; RR 18.0, 95% CI 8.6-37.6) and very low birthweight (462.8 per 1000 live births; RR 43.4, 95% CI 29.5-63.9). We found no statistically significant neonatal mortality risk for macrosomia (RR 1.1, 95% CI 0.6-3.0) but a statistically significant risk for all preterm babies, post-term babies (RR 1.3, 95% CI 1.1-1.5) and babies born at 370 -386  weeks (RR 1.2, 95% CI 1.0-1.4). There were no statistically significant differences by region or underlying neonatal mortality.

CONCLUSIONS

In addition to tracking vulnerable newborn types, monitoring finer categories of birthweight and gestational age will allow for better understanding of the predictors, interventions and health outcomes for vulnerable newborns. It is imperative that all newborns from live births and stillbirths have an accurate recorded weight and gestational age to track maternal and neonatal health and optimise prevention and care of vulnerable newborns.