Background: Tuberculosis (TB) and depression are highly comorbid and linked to higher rates of death and disability. Several evidence-based treatments for depression have been successfully implemented in low- and middle-income countries, but more knowledge is needed on how to bring these innovations to scale within complex 'real world' public health systems.
Objective: To explore whether the principles of social network analysis could be used to enhance receptivity to integrating depression treatment into primary care for individuals with and without TB in Brazil.