Evaluating Emergency Care Systems in Uganda: A Multilevel Regression Analysis of Clinical Outcomes

"background": "Emergency care systems in sub-Saharan Africa are underdeveloped, with a critical lack of evidence on how systemic interventions impact patient outcomes. Existing evaluations often fail to account for the hierarchical structure of clinical data, potentially biasing results. ", "purpose and objectives": "This study aimed to quantify the effect of a structured emergency unit intervention—comprising protocol implementation, staff training, and essential equipment provision—on clinical outcomes in Uganda, using a multilevel analytical approach. ", "methodology": "A quasi-experimental intervention study was conducted across 12 facilities. Patient-level data (n=2, 847) were collected on mortality and complication rates. The primary analysis employed a three-level mixed-effects logistic regression model: (P (Y{ijk=1) ) = \0 + \1 Xijk + ujk + vk +, where ujk and vₖ are random intercepts for clinician and facility, respectively. Robust standard errors were used for inference. ", "findings": "The intervention was associated with a significant reduction in the odds of adverse outcomes (adjusted odds ratio 0. 62, 95% CI 0. 48 to 0. 79). Specifically, a 12. 3 percentage point reduction in the composite adverse outcome rate was observed in intervention facilities compared to controls. ", "conclusion": "The implemented emergency care system intervention significantly improved clinical outcomes, demonstrating that targeted, system-level enhancements are effective in this resource-constrained setting. ", "recommendations": "Health policy should prioritise integrated emergency care systems strengthening. Future programmes should incorporate multilevel evaluation designs to accurately attribute outcomes to complex interventions. ", "key words": "health systems strengthening, multilevel modelling, clinical outcomes, quasi-experimental, sub-Saharan Africa", "contribution statement": "This paper provides a novel methodological application of multilevel regression to evaluate a complex health system intervention in Africa, generating robust evidence for its effectiveness and a replic