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) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Nshuti et al. (Sat,) studied this question.