Multilevel regression analysis shows that socioeconomic factors influence system reliability in Ugandan hospitals, indicating need for targeted interventions.
This study examines the reliability of district hospitals in Uganda's healthcare system through a multilevel regression analysis. A multilevel regression model was employed to analyse data from district hospitals across Uganda, accounting for both individual hospital-level variables (e.g., staff availability) and contextual factors at the district level (e.g., socioeconomic status). The analysis revealed that district-level factors significantly influence system reliability, with a moderate effect size measured by standardised coefficients. This study provides robust evidence for the importance of integrating both hospital-specific and contextual data in assessing healthcare systems' reliability. Policy makers should prioritise interventions targeting district socioeconomic conditions to enhance overall system performance. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Kasule et al. (2013) studied this question.
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