Addressing Mental Health Treatment Gaps

This thesis aims to understand mental health treatment disparities in low-resource settings and to provide evidence on scalable and accessible psychological interventions that can be widely disseminated across diverse contexts. It consists of findings from a series of meta-analyses focusing on the effectiveness and dropout risks of self-guided and internet-based psychological interventions for depression, with the goal of informing the optimal allocation of human resources, particularly for individuals residing in low-resource settings. Further, it seeks to improve treatment effectiveness by examining individual-level differences in response to internet-based depression interventions, offering precise insights into factors associated with participant outcomes.