Problem-Solving Treatment for Depression

Although evidence-based clinical interventions (CI) are a preferred treatment option for patients with depression, CIs are rarely available in community primary care settings. When available, CIs are often delivered with poor fidelity and abandoned by practitioners during the initial months post-training. Identifying effective implementation strategies to support the adoption, reach, and sustained use with fidelity of these CIs could enhance the effectiveness of primary care-based treatment of depression, as primary care is where most treatment for this disorder is delivered. Current models of primacy care practitioner training and supervision follow standard formal didactic procedures that might not be sufficient for successful adoption, high-fidelity delivery, and sustainment of CIs. Automated decision support tools and feedback systems embedded in health informatics technology have been found to be effective in supporting the use of best practices and hence might be useful for the transition from training to sustained CI use. In practice, however, these tools are ignored by practitioners, have mixed success on outcomes, and can hinder clinical care owing to poor design. Problem Solving Treatment Aid (PST-Aid), an educate and reorganize implementation strategy, is a web-based app that promotes practitioner-client collaboration in the use of PST for goal setting and action planning. A pilot randomized trial comparing Problem Solving Treatment (PST) training-as-usual to training plus PST-Aid found PST-Aid was deemed to be appropriate and usable to both practitioner and client users with preliminary support for benefits in depression outcomes.