CHISU is supporting Kenya's Ministry of Health to improve data quality by equipping mentors with the knowledge and skills needed to support health workers for continuous data quality improvement.
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CHISU developed a user-friendly malaria stratification tool that leverages the open-source software JAMOVI to analyze routine HMIS data. This novel approach does not require complex modeling, allowing NMCP staff to perform malaria stratification independent of donor support.
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CHISU supported the transformation of the malaria routine data quality assessment (mRDQA) tool in Kenya so that it is now accessible as an Android application that allows users to analyze malaria data as well as coordinate and plan routine data quality activities. This application helps streamline data quality assessment processes, providing decision makers with better-quality malaria data.
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