Determining the accuracy of malaria RDTs in Thailand
รหัสดีโอไอ
Creator Sujariyakul A
Title Determining the accuracy of malaria RDTs in Thailand
Contributor Bualombai P, Ruangsirarak P
Publisher สถาบันวิจัย จัดการความรู้ และมาตรฐานการควบคุมโรค
Publication Year 2559
Journal Title วารสารควบคุมโรค
Journal Vol. 42
Journal No. 3
Page no. 184-193
Keyword Rapid Diagnostic Test, RDT, accuracy, malaria
URL Website https://www.tci-thaijo.org/index.php/DCJ
Website title เว็บไซต์วารสารควบคุมโรค
ISSN 1685-6481
Abstract This study aimed to determine the accuracy of malaria rapid diagnostic tests (RDT) used in Thailand Malaria Control Program. Three brands of RDTs: Paracheck P.F.TM (detecting single species), OptiMAL ITTM and SD MRDT (detecting pan or multi-species), were field assessed and compared to Giemsa-Stained Thick Blood Film (GS-TBF). The assessment was conducted during April to July 2013 in the malaria clinics of three provinces, consisting a northern province; Tak, a western province; Kanchanaburi, and an eastern province; Chanthaburi. Totally 899 suspected malaria cases visited to these malaria clinics. Of these cases; 84, 157, and 658 found Plasmodium falciparum-positive, Plasmodium vivax-positive and malaria-negative, respectively. All cases were diagnosed by four tests; GS-TBF and the three RDT tests, consisting of Paracheck P.F.TM, OptiMAL ITTM and SD MRDT. These RDTs revealed the sensitivity for P. falciparum, 98.81%, 91.67%, and 94.05% respectively. Whereas the sensitivity for P. vivax of OptiMAL ITTM and SD MRDT were 94.27% and 95.54% respectively. The specificity of the three RDTs were higher than 99.00% which was proved that these RDTs were well discriminated for positive cases. This study revealed the superiority of Paracheck P.F.TM in detecting P. falciparum to two other RDTs. Regarding P. vivax, both OptiMAL ITTM and SD MRDT revealed their accuracy in bottom line of acceptance. In conclusion, this study gave evident to malaria policy maker to determine which kind of tests could be used in remote malaria endemic areas.
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