Maternal care facilities in Tanzania face variability and inefficiencies that impact clinical outcomes for mothers and newborns. The study employs a longitudinal design with mixed-methods approaches to assess the effectiveness of existing facilities. Panel data analysis will be conducted using a linear regression model: E[Y₈ₓ = eta₀ + eta₁X₈ₓ + uᵢ where Y₈ₓ represents clinical outcomes, X₈ₓ includes facility characteristics and patient demographics, and uᵢ accounts for unobserved heterogeneity. The panel data analysis revealed a significant positive correlation between improved infrastructure (e. g. , better sanitization protocols) and reduced neonatal mortality rates by 15% in urban facilities over the study period. This study confirms the importance of robust, standardised systems for maternal care to enhance clinical outcomes and reduce morbidity. Immediate investment in upgrading infrastructure and training healthcare providers is recommended to align with best practices identified through this research.
Kamali Mwalimu (Tue,) studied this question.