Design, Implementation, and Coordination of Malaria Therapeutic Efficacy Studies in Nigeria in 2018

The American journal of tropical medicine and hygiene(2023)

引用 0|浏览15
暂无评分
摘要
Prior to 2018, malaria therapeutic efficacy studies (TESs) in Nigeria were implemented separately at differ-ent sites, as assigned by the National Malaria Elimination Program (NMEP). In 2018, however, the NMEP engaged the Nigerian Institute of Medical Research to coordinate the 2018 TESs in 3 of 14 sentinel sites with the objective of stan-dardizing their conduct across all three sites: Enugu, Kano, and Plateau states in three of six geopolitical zones. Artemether-lumefantrine and artesunate-amodiaquine, the two first-line drugs for treatment of acute uncomplicated malaria in Nigeria, were tested in both Kano and Plateau states. In Enugu State, however, artemether-lumefantrine and dihydroartemisinin-piperaquine were the test drugs, with dihydroartemisinin-piperaquine being tested for potential inclu-sion in Nigerian treatment policy. The TES was conducted in 6-month to 8-year-old children and was funded by the Global Fund with additional support from the WHO. A multipartite core team comprised of the NMEP, the WHO, the U.S. Presidential Malaria Initiative, academia, and the Nigerian Institute of Medical Research was set up to oversee the execu-tion of the 2018 TES. This communication reports best practices adopted to guide its coordination, and lessons learned during in the process, including applying developed standard operating procedures, powering the sample size ade-quately for each site to report independently, training the investigating team for fieldwork, facilitating stratification of deci-sions, determining efficiencies derived from monitoring and quality assessment, and optimizing logistics. The planning and coordination of the 2018 TES activities is a model of a consultative process for the sustainability of antimalarial resis-tance surveillance in Nigeria.
更多
查看译文
关键词
malaria therapeutic efficacy studies,therapeutic efficacy,nigeria
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要