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Short Birth Intervals, Maternal Care, and Neonatal Mortality in Rwanda: A Facility-Based Retrospective Cohort Study
Nadine Niyomahoro1, Mojeed Akorede Gbadamosi2
1Department of Public Health, School of Health Sciences, Mount Kenya University, Kigali, Rwanda.
Neonatal mortality in Rwanda is linked to inadequate antenatal care and preterm birth. Hospital data requires careful interpretation due to potential biases affecting other factors like birth intervals.
Area of Science:
- Public Health
- Neonatal Health
- Epidemiology
Background:
- Neonatal mortality is a significant public health issue in sub-Saharan Africa.
- Facility-based studies risk selection and referral biases.
- This study investigates factors influencing neonatal mortality in a Rwandan referral hospital.
Purpose of the Study:
- To examine associations between maternal, reproductive, and healthcare factors at different causal levels and neonatal mortality.
- To apply hierarchical modeling to understand complex relationships.
- To assess the impact of biases on study findings.
Main Methods:
- Retrospective cohort study of 1042 mother-neonate pairs (2022-2023).
- Variables categorized into distal, intermediate, and proximal levels.
- Sequential logistic regression and Directed Acyclic Graph used to analyze data and potential biases.
Main Results:
- 3.07% of neonates died; lower maternal education showed higher odds (aOR 2.18), potentially due to bias.
- Short birth intervals had unstable associations due to missing data.
- Inadequate antenatal care (aOR 3.12) and preterm birth (aOR 11.67) were strongly associated with neonatal mortality.
Conclusions:
- Proximal factors like preterm birth and insufficient antenatal care consistently predict neonatal mortality.
- Distal and intermediate factor associations were limited by bias and missing data.
- Hierarchical modeling and causal frameworks are valuable, but hospital data requires cautious interpretation.
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