Maternal mortality remains a critical public health challenge in sub-Saharan Africa. While investments in facility infrastructure are common, rigorous evidence on the causal impact of integrated maternal care systems on clinical endpoints is limited. This study aimed to quantify the causal effect of implementing a standardised Maternal Care Facility System (MCFS) on key clinical outcomes in a low-resource setting. We employed a quasi-experimental difference-in-differences design, leveraging the phased rollout of the MCFS across facilities. The primary model was Y₈ₓ = ₀ + ₁ (Treatᵢ Postₜ) + ᵢ + ₜ + ₈ₓ, where Y₈ₓ is the outcome for facility i at time t. Analyses used facility-level panel data and cluster-robust standard errors. MCFS implementation was associated with a 17. 3 percentage point reduction in severe maternal morbidity (95% CI: -25. 1, -9. 5). The intervention also significantly increased the rate of complete postnatal assessment within 48 hours. The integrated systems approach significantly improved measurable clinical outcomes, demonstrating that standardised care protocols and logistics, beyond infrastructure alone, are effective. National health policy should prioritise funding for integrated care systems, including training and supply chain components, and adopt phased rollout strategies to enable rigorous impact evaluation. maternal health, health systems, impact evaluation, difference-in-differences, Uganda, clinical outcomes This study provides novel causal evidence on the effectiveness of a bundled maternal care system using a robust quasi-experimental design applied to facility-level clinical data.
Mubiru et al. (Sat,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: