[[[ Background and objective: ]]] Dihydroartemisinin-piperaquine (DhP) is a very cost effective anti-malarial drug. The aim of this study was to predict the budget impact of using DhP as a first- or second-line drug to treat uncomplicated malaria in children in Tanzania. [[[ Methods: ]]] A dynamic Markov decision model was developed based on clinical and epidemiological data to estimate annual cases of malaria in children aged under 5 years. The model was used to predict the budget impact of introducing DhP as the first- or second-line anti-malarial drug, from the perspective of the National Malaria Control Program in 2014; thus, only the cost of drugs and diagnostics were considered. Probabilistic sensitivity analysis was performed to explore overall uncertainties in input parameters. [[[ Results: ]]] The model predicts that the policy that uses artemether-lumefantrine (AL) and DhP as the first- and second-line drugs (AL + DhP), respectively, will save about $US64,423 per year, while achieving a 3% reduction in the number of malaria cases, compared with that of AL + quinine. However, the policy that uses DhP as the first-line drug (DhP + AL) will consume an additional $US780,180 per year, while achieving a further 5% reduction in the number of malaria cases, compared with that of AL + DhP. [[[ Conclusion: ]]] The use of DhP as the second-line drug to treat uncomplicated malaria in children in Tanzania is slightly cost saving. However, the policy that uses DhP as the first-line drug is somewhat more expensive but with more health benefits.
Budget Impact Analysis of Using Dihydroartemisinin-Piperaquine to Treat Uncomplicated Malaria in Children in Tanzania
[Category] 말라리아,
[Article Type] article
[Source] pubmed
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