Abstract

Malaria remained a leading cause of morbidity and mortality in remote endemic regions where access to quality 
microscopy is severely limited. Rapid diagnostic tests had revolutionized case management by enabling 
parasitological confirmation at the point of care, supporting the global shift from presumptive treatment to evidence
based antimalarial prescribing. Over 400 million RDTs were distributed annually, yet diagnostic performance and 
treatment decision accuracy vary substantially across operational contexts. This narrative review examined the 
technical principles underlying malaria RDTs, evaluated their diagnostic accuracy across diverse clinical and 
epidemiological settings, assessed operational challenges in remote areas, and analyzed the impact of RDT 
implementation on treatment decisions and patient outcomes. A comprehensive narrative synthesis of diagnostic 
accuracy studies, systematic reviews, field implementation research, and policy documents was conducted to evaluate 
RDT performance and clinical utility in resource-limited settings. Contemporary RDTs demonstrated excellent 
sensitivity (95% or higher) for detecting Plasmodium falciparum at parasitemia levels above 100 parasites per 
microliter, though performance declines substantially at lower densities and for non-falciparum species. Specificity 
generally exceeded 90% but is compromised by persistent HRP2 antigenemia following treatment and emerging 
pfhrp2/3 gene deletions. Operational challenges, including heat exposure, inadequate training, and supply chain 
disruptions, significantly impacted field performance. Health worker adherence to negative RDT results remained 
suboptimal in many settings, with antimalarial overtreatment persisting due to clinical pressure, diagnostic mistrust, 
and perverse incentives. RDTs represented essential tools for malaria case management in remote areas but required 
robust quality assurance, comprehensive training, and health systems strengthening to realize their full potential 
for improving treatment accuracy and patient outcomes.