Average treatment effects (n = 347): adjusted for outcome specific covariates.

Model-estimated differences after adjusting for baseline anxiety, age, sex, NGO affiliation, and education in all models and for covariates significantly associated with each specific outcome. All models include multiple imputation by chained equations for missing data and for missing outcomes due to loss to follow-up. Robust standard error estimators are used to account for clustering by counselor. “Pre-post change” is the change from pre-intervention to post-intervention.aMeasured using Cohen's d statistic and pooled baseline variances.**pAverage treatment effects (n = 347): adjusted for outcome specific covariates.