The healthcare system in Tanzania faces challenges in maternal care facilities, leading to suboptimal clinical outcomes. This study employs a fixed effects regression model with robust standard errors to analyse data from multiple rounds of observations over time, focusing on Tanzania's maternal health care system. A significant positive relationship between the number of healthcare facilities and improved neonatal survival rates (proportion increased by 15%) was observed in panel analysis. The fixed effects regression model effectively captured the impact of facility systems on clinical outcomes, providing a robust estimate of their influence. Investment should be prioritised in expanding and improving existing maternal care facilities to enhance overall health outcomes. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ndege et al. (Sun,) studied this question.