Dynamic electronic decision trees to manage sick children in Tanzania (DYNAMIC Tanzania)

We aim to improve quality of care for ~1’000'000 children 0-14 years in 60 health facilities through implementing, validating (impact on clinical outcome and antimalarial/antibiotic use) and further improving ePOCT+, an innovative clinical decision support algorithm (CDSA) combined with point-of-care diagnostic tests. ePOCT+ builds on the validated ePOCT tool, but will contain additional modules for data visualization, e-learning, supervision and self-audit. ePOCT+ will allow to improve response to outbreaks and generating reporting for informed planning and targeting of interventions by health authorities. We will develop a framework at local, district, and national level for the scale-up of CDSA, investigate facilitating and impeding factors and create specific IT tools to allow health authorities to create their own medical algorithms.