Panel data analysis finds positive links between facility improvements and neonatal survival rates in Tanzania, suggesting necessary investment.
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)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Ndege et al. (2002) studied this question.
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