Impact Assessment of Rural Maternal Healthcare Interventions: An R-Based Comparative Analysis of Health Worker Capacity, Consultation Telemetry, and Mortality Rates

This project executed an empirical program evaluation analyzing the efficacy of a rural maternal health intervention aimed at improving service delivery and reducing avoidable maternal mortality. Using R, the quantitative study evaluated observational performance telemetry across healthcare personnel, comparing formally trained versus untrained workers across two primary clinical metrics: annual consultation volume and recorded maternal deaths.Data processing and statistical computation in R included cross-tabulations, subgroup mean comparisons, and bivariate correlation analysis. The empirical results demonstrated that trained healthcare workers conducted substantially higher annual consultations on average ($156.7$ vs. $65.0$) while registering lower average maternal deaths ($2.0$ vs. $4.5$). Furthermore, correlation analysis revealed a strong inverse relationship ($r = -0.70$) between patient consultation volume and maternal mortality, confirming that increased clinical interaction and formal worker training directly correspond to improved maternal health outcomes.Based on the analytical findings, strategic policy recommendations were formulated to guide public health programming. These included standardizing maternal health training across rural facilities, scaling community outreach to drive antenatal consultation uptake, strengthening emergency referral infrastructure, and expanding monitoring frameworks to encompass broader health indicators in future evaluations.