Methodological Evaluation of Maternal Care Facilities Systems in Rwanda: A Multilevel Regression Analysis on Clinical Outcomes

Maternal care facilities in Rwanda are pivotal for improving maternal health outcomes. However, their effectiveness varies across different settings and levels of care. The study employed a multilevel logistic regression model to analyse data collected from multiple maternal care units, accounting for nested structures within the dataset. Key variables included patient demographics and facility-specific characteristics. Neonatal survival rates were significantly influenced by both individual patient factors (e.g., gestational age) and contextual factors at the care unit level (e.g., staffing levels). The multilevel approach provided a nuanced understanding of how various elements interact to impact clinical outcomes. Further research should explore interventions aimed at improving neonatal survival rates in low-resource settings, particularly focusing on enhancing infrastructure and training programmes. Maternal care facilities, Rwanda, Multilevel regression, Neonatal survival, Clinical outcomes Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.