Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding - Trial NCT06017843
Access comprehensive clinical trial information for NCT06017843 through Pure Global AI's free database. This phase not specified trial is sponsored by Centre for Global Public Health Pakistan and is currently Not yet recruiting. The study focuses on Tuberculosis. Target enrollment is 180000 participants.
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Study Focus
Sponsor & Location
Centre for Global Public Health Pakistan
Timeline & Enrollment
N/A
Sep 01, 2023
Dec 01, 2024
Primary Outcome
Camp positivity yield
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.
ICD-10 Classifications
Data Source
ClinicalTrials.gov
NCT06017843
Non-Device Trial