RESUMEN
BACKGROUND: Integrated community case management (iCCM) of malaria complements public health services to improve access to timely diagnosis and treatment of malaria. ICCM relies on standardized test-and-treat algorithms implemented by community health workers using malaria rapid diagnostic tests (RDTs). However, due to a changing epidemiology of fever causes in Africa, positive RDT results might not correctly reflect malaria. In this study, we modeled diagnostic predictive values for all malaria-endemic African regions as an indicator of the programmatic usefulness of RDTs in iCCM campaigns on malaria. METHODS: Positive predictive values (PPVs) and negative predictive values (NPVs) of RDTs for clinical malaria were modeled. Assay-specific performance characteristics stem from the Cochrane Library and data on the proportion of malaria-attributable fevers among African febrile children aged <5 years were used as prevalence matrix. RESULTS: Average country-level PPVs vary considerably. Ethiopia had the lowest PPVs (histidine-rich protein II [HRP2] assay, 17.35%; parasite lactate dehydrogenase [pLDH] assay, 39.73%), and Guinea had the highest PPVs (HRP2 assay, 95.32%; pLDH assay, 98.46%). On the contrary, NPVs were above 90% in all countries (HRP2 assay, ≥94.87%; pLDH assay, ≥93.36%). CONCLUSIONS: PPVs differed considerably within Africa when used to screen febrile children, indicating unfavorable performance of RDT-based test-and-treat algorithms in low-PPV settings. This suggests that the administration of antimalarials alone may not constitute causal treatment in the presence of a positive RDT result for a substantial proportion of patients, particularly in low-PPV settings. Therefore, current iCCM algorithms should be complemented by information on other setting-specific major causes of fever.