Main Effects. Main outcome analyses were run by ITT utilizing imputed datasets. General linear mixed effects models, or generalized models for a binary outcome, were used to examine whether the group x time interactions for outcomes depressive symptoms and remission were significant. The general linear mixed model assumed unstructured variance-covariance matrices, maximum likelihood (method = ML) estimation, and adjusted for clustering of patients within care teams and repeated measures within patients. Whereas the random effect of clustering patients within care teams on remission in the adjusted model was zero, patients were not clustered within care teams in the generalized model for the binary outcome.