Literature Collection

BACKGROUND: Collaborative models for depression have not been widely adopted throughout the USA, possibly because there are no successful roadmaps for implementing these types of models. OBJECTIVE: To provide such a roadmap through a case study of the institutionalization of a depression care management (DCM) initiative for adult depression in a large healthcare system serving over 300,000 adults with depression. DESIGN: A retrospective observational program evaluation. Program evaluation results are presented for those patients enrolled in the initiative from January 1, 2015, to December 31, 2018. PARTICIPANTS: Over a 4-year period, 17,052 patients were treated in the DCM program. In general, participants were women (76%), were Hispanic (47%), spoke English (84%), and were 51.1 ± 18.3 years old, the majority of whom were 30-64 years old (57%). INTERVENTION: The collaborative care portion of the DCM initiative (DCM program) was implemented by a collaborative care team containing a treatment specialist, an assessment specialist, administrative staff, a primary care physician, and a psychiatry physician. MAIN MEASURES: The main outcome measures were total score on the 9-item Patient Health Questionnaire (PHQ-9). Outcomes were improvement (defined as at least 50% reduction in symptoms) and remission (defined as a PHQ-9 less than 5) of depression symptoms. Follow-up of depression symptoms was also collected at 6 months following discharge. KEY RESULTS: The average course of treatment in 2018, after full implementation, was 4.6 ± 3.0 months; 62% of patients experienced improvement in symptoms, and 45% experienced remission of their depression at the time of discharge. These rates were maintained at the 6-month follow-up. CONCLUSIONS: Collaborative care for depression can be institutionalized in large healthcare systems and be sustained with a specific, detailed roadmap that includes workflows, training, treatment guidelines, and clear documentation standards that are linked to performance metrics. Extensive stakeholder engagement at every level is also critical for success.

BACKGROUND: Posttraumatic stress disorder (PTSD) and substance use disorder (SUD) co-occur frequently and have deleterious impact. Seeking Safety (SS) - an evidence-based, present-focused, coping skills model - lends itself to mobile app delivery. OBJECTIVES: A novel SS mobile app is compared to a control app that lacks the interactivity, social engagement, and feature-richness of the SS app. We hypothesized that the SS app would outperform the control on primary outcome variables (substance use, trauma symptoms) and at least two secondary variables. METHODS: Outpatients with current PTSD and SUD (n = 116) were randomized to the apps; assessed were pre, post (12 weeks), and 3-month follow-up in this online study. RESULTS: The SS app outperformed the control on the primary outcomes, but not on secondary outcomes. Also both conditions evidenced significant change over time from pre to post, with gains sustained at follow-up. External medication and supports during the trial did not differ by condition. CONCLUSION: This first RCT on a SS mobile app had positive results for reduction in substance use and trauma symptoms compared to a control app. This is noteworthy as mental health mobile apps, in general, evidence few positive outcomes. Our substance use finding is also notable as psychosocial interventions in PTSD/SUD populations find it harder to achieve reduction in SUD than trauma symptoms. Our control app may have represented too strong a comparison and weakened our ability to find results on secondary outcomes by condition.