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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 be
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