Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding
Trial Parameters
Brief Summary
The aim of this pragmatic, stepped wedge cluster-randomized trial is to measure the comparative yield (number of incident TB cases diagnosed during active case-finding camps) using a site selection approach based on predictions generated via an artificial intelligence software called MATCH-AI (intervention group) versus the conventional approach of camp site selection using field-staff knowledge and experience (control group). The trial will help inform whether a targeted approach towards screening for TB using artificial-intelligence can improve yields of TB cases detected through community-based active case-finding.
Eligibility Criteria
Inclusion Criteria: * All individuals \>15 years of age presenting to camp sites * Individuals with previous history of TB disease Exclusion Criteria: * Children and adolescents \<15 years of age * Pregnant women