{ "background": "District hospital systems in sub-Saharan Africa face persistent challenges in resource allocation and operational efficiency. Robust methodological frameworks for quantifying efficiency gains from systemic interventions are lacking, particularly within complex, real-world healthcare settings.", "purpose and objectives": "This study aimed to appraise a quasi-experimental design for measuring operational efficiency gains following a systemic intervention in district-level hospitals. The primary objective was to evaluate the methodological rigour and feasibility of this approach in a resource-constrained context.", "methodology": "We employed a difference-in-differences (DiD) design, analysing longitudinal administrative data from a panel of hospitals. The core statistical model was $Y{it} = \\beta0 + \\beta1 (Treati \\times Postt) + \\gammai + \\deltat + \\epsilon{it}$, where $Y_{it}$ is the efficiency outcome for hospital $i$ at time $t$. Inference was based on cluster-robust standard errors at the hospital level.", "findings": "The methodological appraisal revealed that the quasi-experimental design successfully isolated the intervention's effect from secular trends. The intervention was associated with a statistically significant 18% reduction in average patient processing time (95% CI: 12% to 24%). Key implementation challenges included data completeness and the need for a sufficiently long pre-intervention baseline.", "conclusion": "The applied quasi-experimental design provides a methodologically sound framework for evaluating systemic efficiency gains in district hospital settings, offering a viable alternative when randomised controlled trials are not feasible.", "recommendations": "Future health systems research should incorporate quasi-experimental designs with robust counterfactuals. Investment in routine health information systems is critical to support such high-fidelity evaluations.", "key words": "health systems research, operational efficiency, quasi-experimental design, difference-in-differences, resource-limited settings, evaluation methodology", "contribution statement": "This paper provides a novel application and critical appraisal of a difference-in-differences design for evaluating hospital