Congenital heart disease (CHD) is common, costly, and critical. Approximately half of all infant deaths due to congenital anomalies are associated with CHD or neural tube defects. As infant mortality improves due to better infection control and peripartum care, congenital anomalies are becoming a key driver of pediatric survival and health.
Improving CHD prevention and care globally will play a significant role toward key goals such as United Nation's sustainable development goals (SDGs) of good health and wellbeing (SDG 3) and reduced inequalities (SDG 10). This review addresses two questions:
How can we reinterpret and reframe available data on CHD to spur action in prevention
How can we re-engineer how we currently track CHD in populations to efficiently
generate new data to assess successes and detect gaps in prevention and care?