Statistical methods
depression, primary outcome cardiac anxiety, anxiety
We will analyze short-term (end of rehabilitation and 3-month follow-up) and long-term effects (12-month follow-up) using different models and publish the findings separately. We will use mixed models if more than one measurement point needs to be considered, i.e., end of rehabilitation and 3-month follow-up, and generalized linear models otherwise. If baseline scores are available, these will be included as a covariate when estimating the treatment effect. If outcomes are binary, a logit link will be used. High depression, high generalized anxiety, and high cardiac anxiety, as well as age, sex, and education, are tested as possible moderators of the treatment effect on our primary outcome cardiac anxiety assessed at the 12-month follow-up.For health economic evaluation, we will calculate an incremental cost-effectiveness ratio [Missing data will be imputed using chained equations [