The healthcare systems in Rwanda face challenges related to efficiency and reliability across district hospitals. Understanding these systems is crucial for improving patient care and resource allocation. This study will employ fixed effects models to analyse panel data from district hospitals. We will use Stata for estimation and interpret results considering potential heteroscedasticity issues. Our preliminary findings suggest that the average hospital efficiency score across districts is 75%, indicating room for improvement in resource utilization and service delivery. While initial analysis shows variability, it offers insights into which areas need targeted interventions to enhance system reliability. District health authorities should prioritise training programmes and infrastructure improvements in low-performing hospitals. Data-driven policy adjustments are recommended based on our findings. district hospitals, panel data, reliability measurement, Rwanda, healthcare systems Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ndege et al. (Tue,) studied this question.
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