Modeling the Scale-up of Surgical Services for Children with Surgically Treatable Congenital Conditions in Somaliland

Background: Congenital conditions comprise a significant portion of the global burden of surgical conditions in children. In Somaliland, over 250,000 children do not receive required surgical care annually, although the estimated costs and benefits of scale-up of children’s surgical services to address this disease burden is not known. Methods: We developed a Markov model using a decision tree template to project the costs and benefits of scale-up of surgical care for children across Somaliland. We used a proxy set of congenital anomalies across Somaliland to estimate scale-up costs using three different scale-up rates. The cost-effectiveness ratio and net societal monetary benefit were estimated using these models, supported by disability weights in existing literature. Results: Overall, we found that scale-up of surgical services at an aggressive rate (22.5%) over a 10-year time horizon is cost effective. Although the scale-up of surgical care for most conditions in the proxy set was cost effective, scale-up of hydrocephalus and spina bifida are not as cost effective as other conditions. Conclusions: Our analysis concludes that it is cost effective to scale-up surgical services for congenital anomalies for children in Somaliland.