Modeling the Scale-up of Surgical Services for Children with Surgically Treatable Congenital Conditions in Somaliland
Tessa Concepcion
Duke Global Health Institute, Duke University, Durham, NC, USA
Search for more papers by this authorMubarak Mohamed
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorShugri Dahir
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorEdna Adan Ismail
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorHenry E. Rice
Duke Global Health Institute, Duke University, Durham, NC, USA
Search for more papers by this authorCorresponding Author
Emily R. Smith
Duke Global Health Institute, Duke University, Durham, NC, USA
Duke Department of Surgery, Duke University School of Medicine, Durham, USA
[email protected]Search for more papers by this authorTessa Concepcion
Duke Global Health Institute, Duke University, Durham, NC, USA
Search for more papers by this authorMubarak Mohamed
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorShugri Dahir
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorEdna Adan Ismail
Edna Adan University Hospital, Hargeisa, Somaliland
Search for more papers by this authorHenry E. Rice
Duke Global Health Institute, Duke University, Durham, NC, USA
Search for more papers by this authorCorresponding Author
Emily R. Smith
Duke Global Health Institute, Duke University, Durham, NC, USA
Duke Department of Surgery, Duke University School of Medicine, Durham, USA
[email protected]Search for more papers by this authorAbstract
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.
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