{ "background": "Rural clinic systems are a critical component of healthcare delivery in sub-Saharan Africa, yet robust evidence on their causal impact on clinical outcomes remains limited due to methodological challenges in isolating their effect from other health system factors.", "purpose and objectives": "This study aimed to quantify the causal effect of integrated rural clinic systems on key clinical outcomes in a resource-constrained setting, using a rigorous quasi-experimental design to address selection bias.", "methodology": "We employed a difference-in-differences design, leveraging the phased rollout of clinic system enhancements across 120 rural facilities. The primary analysis used a linear regression model: $Y{it} = \\beta0 + \\beta1 (Treati \\times Postt) + \\gamma X{it} + \\alphai + \\deltat + \\epsilon{it}$, where $Y{it}$ is the outcome for facility $i$ at time $t$. Robust standard errors were clustered at the facility level. Outcomes included facility-reported maternal complication rates and under-five vaccination completeness.", "findings": "The enhanced clinic system was associated with a statistically significant 18.2 percentage point reduction in reported maternal complication rates (95% CI: -25.1, -11.3). The effect on vaccination completeness was positive but not statistically significant at conventional levels.", "conclusion": "The integration of rural clinic systems, focusing on supply chain management and staff training protocols, can substantially improve specific clinical outcomes, notably maternal health indicators.", "recommendations": "Policy should prioritise investment in integrated clinic systems, with a specific focus on the maternal health pathway. Further research should investigate the mechanisms behind the heterogeneous effects observed across different outcome measures.", "key words": "health systems evaluation, quasi-experimental design, difference-in-differences, maternal health, primary healthcare, sub-Saharan Africa", "contribution statement": "This study provides novel causal evidence on the effectiveness of a scalable rural clinic model and demonstrates the application of a robust econometric method for