This research aims to evaluate the effectiveness and economic impact of RDT-based diagnostic algorithms for Chagas disease.
Conducted a cost-utility analysis in Colombia.
Evaluated the access to diagnosis and program costs related to RDT-based algorithms.
Assessed the completion rates of the diagnostic process.
RDT-based algorithms improved access to diagnosis significantly.
Cost savings were identified in implementing these algorithms.
Increased completion of the diagnostic process drives economic value.
Abstract
RDT-based algorithms may improve access to diagnosis and reduce program costs. Improving completion of the diagnostic process may be a key driver of effectiveness and economic value.