{ "background": "District hospitals are critical nodes in sub-Saharan African health systems, yet robust evidence on the impact of systemic interventions on clinical outcomes remains scarce. Evaluations are often hampered by methodological limitations in real-world settings.", "purpose and objectives": "This short report presents a methodological evaluation of a randomised field trial designed to assess the effect of a reorganised hospital system on patient outcomes. The primary objective was to test the feasibility and analytical robustness of the trial design in a resource-constrained environment.", "methodology": "We conducted a cluster-randomised trial across 24 district hospitals. The intervention was a bundled systems package focusing on triage, logistics, and clinical protocols. The primary outcome was a composite measure of 30-day post-admission mortality and major complications. The analysis employed a generalised linear mixed model: $logit(P(Y{ij}=1)) = \\beta0 + \\beta1 T{ij} + \\gamma X{ij} + uj$, where $u_j \\sim N(0, \\sigma^2)$, with robust standard errors clustered at the hospital level.", "findings": "The trial methodology proved feasible, with 98% protocol adherence in outcome data collection. The intervention showed a non-significant reduction in the primary composite outcome (adjusted odds ratio 0.85, 95% CI 0.68 to 1.07). The hierarchical model effectively accounted for within-cluster correlation, with an intraclass correlation coefficient of 0.12.", "conclusion": "The randomised field trial design is a methodologically rigorous and practicable approach for evaluating health systems interventions at the district hospital level, even where routine data systems are weak.", "recommendations": "Future health systems research in similar contexts should prioritise cluster-randomised designs with embedded process evaluation. Investment in trial management capacity at the district level is essential for fidelity.", "key words": "health systems research, cluster randomised trial, district hospital, clinical outcomes, methodology, sub-Saharan Africa", "