Improving the Treatment of Depression Among Youth With HIV

Depression is a common psychiatric condition among Youth with HIV (YWH), with prevalence as high as 25% in the United States. The treatment of depression is essential for improving both psychiatric and medical outcomes for YWH (e.g., adherence to antiretroviral treatment). Practice guidelines for the treatment of depression and substantial research (including for those with and without HIV), indicate that measured-care treatment (care decisions guided by systematic symptom measurement) and using a combination of a medication management algorithm (MMA) and cognitive behavioral therapy (CBT) that is tailored to the population is efficacious. Unfortunately, these methods are seldom fully implemented in practice, leading to markedly reduced intervention effectiveness. This proposed project will compare an enhanced version of combination treatment (COMBEX) to our previously tested combination treatment (COMB) in a Hybrid Type 2 Cluster Randomized Trial. COMBEX will be enhanced by five ERIC implementation strategies as suggested in our post-trial interviews from our efficacy trial and it will also continue to use the ERIC strategies used in COMB. It is hypothesized that these additional ERIC strategies will improve sustainability and depression outcomes at 48 and 72 weeks. The specific co-primary aims of this proposed study are to: 1. Test the effectiveness COMBEX (with its additional ERIC strategies) compared to COMB on the implementation outcomes of adoption, fidelity, and sustainability. 2. Evaluate, using a cluster randomized design, the impact of COMBEX compared to COMB in improving real-world effectiveness of reducing indices of depression (e.g., symptoms, treatment response, remission) and decreasing the viral load (VL) among 130 YWH in eight HIV care clinics over 72 weeks. 3. Use an explanatory, sequential, mixed-method approach to evaluate the context of implementation, for both COMB and COMBEX, guided by the sustainability framework with data from staff/clinicians (n=64).