{ "background": "Rural clinic systems are critical for healthcare delivery in sub-Saharan Africa, yet robust evidence on their causal impact on clinical outcomes remains limited. Existing evaluations often lack rigorous counterfactual comparisons, hindering policy decisions.", "purpose and objectives": "This study aimed to quantify the causal effect of a redesigned rural clinic system on key clinical outcomes in a low-resource setting, using a quasi-experimental design to estimate impacts on maternal and child health indicators.", "methodology": "We employed a difference-in-differences design, exploiting the phased rollout of the clinic system across districts. Data from health facility records and household surveys were analysed for treatment and control groups. The primary model was $Y{it} = \\beta0 + \\beta1 (Treati \\times Postt) + \\gammai + \\deltat + \\epsilon{it}$, where $Y_{it}$ is the outcome for clinic $i$ at time $t$, with clinic and time fixed effects. Inference used cluster-robust standard errors at the district level.", "findings": "The intervention significantly increased the proportion of facility-based deliveries by 18.2 percentage points (95% CI: 12.4, 24.0). Reductions in paediatric malaria incidence and improvements in antenatal care attendance were also observed, with effects robust to multiple specification checks.", "conclusion": "The redesigned clinic system substantively improved key maternal and child health outcomes. The quasi-experimental approach provides credible evidence of its effectiveness.", "recommendations": "Policy makers should consider the phased scale-up of this integrated clinic model in similar rural contexts. Further research should investigate cost-effectiveness and long-term sustainability.", "key words": "health systems, quasi-experiment, difference-in-differences, maternal health, implementation science, sub-Saharan Africa", "contribution statement": "This study provides novel, causally identified evidence on the effectiveness of an integrated rural clinic model, demonstrating its potential to improve service utilisation and clinical