Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies
An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries
Worldwide, non-adherence to tuberculosis (TB) treatment is problematic. Digital adherence technologies (DATs) offer a person-centered approach to support and monitor treatment. This paper explores adherence over time while using DATs using a meta-analysis on anonymized longitudinal adherence data for drug-susceptible TB and drug-resistant TB populations from 11 DAT projects.