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Background: Depression is a common illness with great human costs and a significant burden on the public economy. Previous studies have indicated that collaborative care (CC) has a positive effect on symptoms when provided to people with depression, but CC has not yet been applied in a Danish context. We therefore developed a model for CC (the Collabri model) to treat people with depression in general practice in Denmark. Since systematic identification of patients is an "active ingredient" in CC and some literature suggests case finding as the best alternative to standard detection, the two detection methods are examined as part of the study. The aim is to investigate if treatment according to the Collabri model has an effect on depression symptoms when provided to people with depression in general practice in Denmark, and to examine if case finding is a better method to detect depression in general practice than standard detection.Methods/design: The trial is a cluster-randomised, clinical superiority trial investigating the effect of treatment according to the Collabri model for CC, compared to treatment as usual for 480 participants diagnosed with depression in general practice in the Capital Region of Denmark. The primary outcome is depression symptoms (Beck's Depression Inventory (BDI-II)) after 6 months. Secondary outcomes include depression symptoms (BDI-II) after 15 months, anxiety symptoms (Beck's Anxiety Inventory (BAI)), level of functioning (Global Assessment of Function (GAF)) and psychological stress (Symptom Checklist-90-Revised (SCL-90-R)). In addition, case finding (with the recommended screening tool Major Depression Inventory (MDI)) and standard detection of depression is examined in a cluster-randomized controlled design. Here, the primary outcome is the positive predictive value of referral diagnosis.Discussion: If the Collabri model is shown to be superior to treatment as usual, the study will contribute with important knowledge on how to improve treatment of depression in general practice, with major benefit to patients and society. If case finding is shown to be superior to standard detection, it will be recommended as the detection method in future treatment according to the Collabri model.Trial Registration: ClinicalTrials.gov. NCT02678845 . Retrospectively registered on 7 February 2016. [ABSTRACT FROM AUTHOR]

Objective: To use data from a randomized trial to determine the cost-effectiveness of a collaborative care (CC) depression and anxiety treatment program and to assess effects of the CC program on health care utilization.Methods: The CC intervention's impact on health-related quality of life, depression-free days (DFDs), and anxiety-free days (AFDs) over the 24-week postdischarge period was calculated and compared with the enhanced usual care (EUC) condition using independent samples t tests and random-effects regression models. Costs for both the CC and EUC conditions were calculated on the basis of staff time, overhead expenses, and treatment materials. Using this information, incremental cost-effectiveness ratios were calculated. A cost-effectiveness acceptability plot was created using nonparametric bootstrapping with 10,000 replications, and the likelihood of the CC intervention's cost-effectiveness was assessed using standard cutoffs. As a secondary analysis, we determined whether the CC intervention led to reductions in postdischarge health care utilization and costs.Results: The CC intervention was more costly than the EUC intervention ($209.86 vs. $34.59; z = -11.71; P < 0.001), but was associated with significantly greater increases in quality-adjusted life-years (t = -2.49; P = 0.01) and DFDs (t = -2.13; P = 0.03), but not AFDs (t = -1.92; P = 0.057). This translated into an incremental cost-effectiveness ratio of $3337.06 per quality-adjusted life-year saved, $13.36 per DFD, and $13.74 per AFD. Compared with the EUC intervention, the CC intervention was also associated with fewer emergency department visits but no differences in overall costs.Conclusions: This CC intervention was associated with clinically relevant improvements, was cost-effective, and was associated with fewer emergency department visits in the 24 weeks after discharge. [ABSTRACT FROM AUTHOR]