Simulation Modeling to Guide Priority Setting in Global Maternal Health
2023
This study developed the Global Maternal Health (GMatH) microsimulation model to evaluate maternal health policy interventions across 200 countries and territories from 1990 to 2050. It addresses challenges in measuring maternal mortality by simulating individual women's reproductive lifecycles. Various interventions, including family planning and facility-based care, were simulated to compare against a baseline scenario projecting the global maternal mortality ratio (MMR) to decrease to 167 per 100,000 live births by 2030.
Results suggest that while individual interventions yield small reductions, integrated strategies, particularly those combining facility-based care, clinical services improvement, and care linkages, demonstrate more significant improvements. For instance, a comprehensive approach including family planning and community-based interventions projects a lower MMR of 58 by 2030.
The study underscores the importance of context-specific interventions and indicates that achieving the Sustainable Development Goal target of reducing global MMR to less than 70 by 2030 will likely require comprehensive strategies. Limitations include data gaps and assumptions, while future work aims to assess intervention cost-effectiveness in specific contexts.
Simulation Modeling to Guide Priority Setting in Global Maternal Health
Source:
Simulation Modeling to Guide Priority Setting in Global Maternal Health. Nature Medicine 2023; 29 (5): 1074-1075. https://doi.org/10.1038/s41591-023-02342-3
Not open access.