Evaluating Public Policy Approaches to Improving Maternal and Child Health Outcomes in Rural and Urban High-Risk Areas
Background: Maternal and child health disparities between rural and urban areas represent one of the most pressing public health challenges in the United States. While urban areas typically have better access to specialized care, both rural and urban high-risk communities face significant barriers to optimal maternal and child health outcomes. Objective: This study evaluates the comparative effectiveness and economic impact of different public finance mechanisms including Medicaid waivers, federal grants, and state-funded programs in supporting maternal and child health services across rural and urban high-risk areas. Methods: We conducted a comprehensive analysis of maternal and child health outcomes, healthcare utilization patterns, and economic impacts across different geographic and policy contexts using systematic literature review and secondary data analysis from 2016-2023. Results: Medicaid expansion significantly improved maternal health outcomes in both rural and urban areas, with rural areas showing greater relative improvement. State-funded doula programs demonstrated cost-effectiveness ratios of $1.2 million in savings per $1 million invested. Rural areas faced unique challenges including provider shortages and transportation barriers, while urban high-risk areas dealt with concentrated poverty and systemic access issues. Conclusions: Tailored policy approaches that address geographic-specific barriers while maintaining universal access principles show the greatest promise for improving maternal and child health outcomes. Integrated financing mechanisms combining federal, state, and local resources appear most effective in addressing complex rural-urban disparities.
Institutions
- University of Tennessee at Martin (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.17286259
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00