Assessment of the choice of malaria diagnostic methods among household heads of the Nkwen village in Bamenda-3 municipality

Malaria remains a major threat to life in Bamenda in particular and Cameroon in general. Despite numerous and relatively affordable malaria diagnostic and treatment methods, accurate choice of diagnosis remains a major challenge to the inhabitants of the almost 14,285 households in the Nkwen village of the Bamenda 3 municipality. This study was designed to investigate the key determinants of the choice of malaria diagnostic methods (demand side analysis) in the Nkwen village of the Bamenda 3 municipality. A purposive and randomized sampling method was employed to recruit of 560 household’s heads from the 46 quarters of the Nkwen village. The Multinomial Logistic Regression Model and Chi-Square analysis were used to analyze the collected data. The findings reveal that gender, marital status, educational level, income, household size, age, religion and health insurance policy contribute to the choice of malaria diagnostic methods in the study area. Therefore, the integration of socio-economic factors into malaria control policies will feasibly contribute to malaria decrease in the study area.