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Journal of Parasitology Research
Volume 2016, Article ID 3479457, 5 pages
Research Article

Comparison of Partec Rapid Malaria Test with Conventional Light Microscopy for Diagnosis of Malaria in Northwest Ethiopia

Department of Medical Parasitology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia

Received 30 September 2015; Revised 10 December 2015; Accepted 17 December 2015

Academic Editor: D. S. Lindsay

Copyright © 2016 Meseret Birhanie. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Laboratory diagnosis of malaria is the key for effective disease management. Diagnosis of malaria infection requires rapid, sensitive, and specific test methods with an affordable cost. This study was aimed to assess the diagnostic performance of Partec rapid malaria test with reference to light microscopy for the diagnosis of malaria in Northwest Ethiopia. Methods. A total of 180 febrile patients were tested for malaria using Giemsa stain microscopy and Partec rapid malaria test from June to July 2013 at Gendewuha health centers, Metema district. Data were analyzed using SPSS version 20 statistical software. Odds ratio with 95% CI was calculated. Result. The sensitivity and specificity of Partec rapid malaria test were 93.8% (95% CI = 87.1%–100%) and 87.9% (95% CI = 79.7%–96.1%), respectively, while the positive predictive value and negative predictive value were 6.4% (95% CI = 77.2%–95.5%) and 94.6% (95% CI = 88.7%–100%), respectively. There was also an excellent agreement between two tests with Kappa value of 0.811 (95% CI = 0.625–0.996). Conclusion. Partec rapid malaria test showed good sensitivity and specificity with an excellent agreement to the reference light microscopy. Therefore PT can be considered as alternative diagnostic tools in malaria endemic areas.