Abstract
{ "background": "District hospitals are a critical component of the healthcare system, yet robust evidence on the effectiveness of different systemic models in improving clinical outcomes is limited. This gap hinders evidence-based policy and resource allocation.", "purpose and objectives": "This study aimed to evaluate the comparative effectiveness of two distinct district hospital system models—centralised specialist-led versus decentralised generalist-led—on a composite measure of avoidable adverse clinical outcomes in South Africa.", "methodology": "A quasi-experimental difference-in-differences design was employed, using longitudinal patient-level administrative data. The primary analysis estimated the effect of system type on the adverse outcome rate, controlling for patient case-mix and hospital-level covariates. The core statistical model was specified as: $Y{it} = \\beta0 + \\beta1 (Treati \\times Postt) + \\beta2 X{it} + \\alphai + \\deltat + \\epsilon{it}$, where $Y_{it}$ is the outcome for hospital $i$ in period $t$. Inference was based on cluster-robust standard errors.", "findings": "Hospitals in the decentralised system model demonstrated a statistically significant reduction in the composite adverse outcome rate compared to those in the centralised model (adjusted risk difference: -3.2 percentage points; 95% CI: -5.1 to -1.3). This effect was pronounced for outcomes related to sepsis management and perinatal care.", "conclusion": "The decentralised, generalist-led hospital system model was associated with superior clinical performance in this setting, suggesting that organisational structure and skill-mix distribution are key determinants of quality of care.", "recommendations": "Policymakers should consider prioritising investments in decentralised clinical decision-making and generalist skills development. Further research should investigate the cost-effectiveness and long-term sustainability of this model.", "key words": "health systems research, district hospitals, quasi-experimental design, clinical outcomes, health policy, South Africa