Multilevel regression analysis shows improved patient throughput in district hospitals after infrastructure upgrades, suggesting significant operational benefits.
District hospitals in Nigeria play a crucial role in healthcare delivery but face significant challenges in terms of resource allocation and operational efficiency. A multilevel regression model was employed to analyse data collected from district hospitals across Nigeria. The model includes fixed effects for hospital-level characteristics and random effects for geographical variations. The analysis revealed that investment in infrastructure upgrades had a positive impact on patient throughput, with an estimated increase of 15% in average daily admissions per unit cost invested. This study provides empirical evidence supporting the effectiveness of targeted investments in district hospital systems for improving yield and operational efficiency. District health authorities should prioritise investment in infrastructure upgrades to enhance patient throughput, thereby improving overall healthcare delivery. district hospitals, Nigeria, multilevel regression analysis, yield improvement Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Odili et al. (2005) studied this question.
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