Algorithm malaria diagnosis as a result of the comparison between clinical symptoms and microscopy test in the population central Sulawesi Province

Abstract

Background and Objective: Malaria is a contagious disease that is still a public health problem in the world, including in Indonesia. The aims of the study was make algorithm of malaria diagnosis as a result of the comparison between clinical symptoms and microscopic test. Methodology: The study was observational with cross sectional study. The population is the whole population in Tinombo Puskesmas. The sample is suspected malaria March-April 2016. A sample of 142 people were examined clinically and microscopically. Test used chi square and logistic regression. Results: The results showed that the variable clinical symptoms associated with the microscopic examination is fever (p = 0.001), chills (p = 0.000) and joint pain (p = 0.005). Multivariate logistic regression test with in getting the symptoms of chills, diarrhea and joint pain as an algorithm with sensitivity (74.28%) and specificity (85.98%). Conclusion: Algorithm of Malaria is an alternative in early diagnosis for endemic areas who have limited facilities of microscopic laboratory examination.