A Multidimensional Data Modeling to Advance Gender-Sensitive Health Measurement and Inform Policy

Anne Yonkeu of the Clinton Health Access Initiative in Cameroon will develop a health index as a comprehensive, integrated measure of women’s health in Cameroon. Using existing national data sources that reflect the multidimensional determinants of women’s health, health indicators will be developed and integrated into a composite index. These determinants will include factors such as reproductive health, gender-based violence, unpaid care work, nutrition, and access to services. Data modeling and statistical methods including geospatial analysis will be incorporated so that the index can serve as a digital tool for revealing and visualizing hidden inequities in women’s health at the subnational level and strengthening gender-sensitive health monitoring. The tool will be piloted, testing its ability to generate actionable evidence at the national and subnational levels to guide health policy, resource allocation, and targeted interventions for more equitable women’s health outcomes.