Abstract

Stepped, evidence-based and integrated care service models have the potential to be used as a reference for mental health services. RECOVER aimed to evaluate cost savings, effectiveness, and cost-effectiveness of such a model within a two arm, assessor- and data analysist-blinded RCT in Hamburg, Germany. Participants aged 16-79 years with mental disorders were randomly assigned either to RECOVER or treatment as usual (TAU). Primary outcomes comprised costs, effectiveness (combined symptoms, functioning, quality of life), and cost-effectiveness, hierarchically ordered. Outcomes were evaluated according to the ITT principle, group differences regarding costs with adjusted generalized linear models, effectiveness with ANCOVA models, and cost-effectiveness with the incremental cost-effectiveness ratio (ICER) and cost-effectiveness acceptability curves (CEACs). Between 1/1/2018 and 12/31/2020, n = 891 were finally included (n = 477 in RECOVER, n = 444 in TAU). RECOVER was associated with significantly lower annual total costs (-22 %), health and social care costs (-25 %) and hospital costs (-50 %). Effectiveness analyses showed a significantly better outcome for RECOVER with the fully imputed data . The CEACs descriptively demonstrated that RECOVER was cost-effective with a probability of >95 %. Treatment in RECOVER resulted in substantial cost reductions with better cost-effectiveness. RECOVER can be recommended as a reference model for comprehensive and integrated mental health services.