SMART Therapist Training: A Hybrid Factorial-SMART Design

Plain-language summary

Cognitive Processing Therapy (CPT) is highly effective in randomized controlled trials, but its effectiveness drops substantially in standard clinical practice, largely due to therapist "drift" from fidelity to the protocol. What remains unknown is which components of CPT training yield high therapist fidelity. Thus, there is a critical need to use empirical approaches to identify the most effective components of CPT training and to develop an adaptive training model for CPT by testing sequences of empirically-supported training strategies. The long-term goal of this research is to develop a sustainable model of therapy training that is personalized to the needs of the therapist trainee. The overall objective of this application is to empirically optimize an adaptive model for CPT training. The rationale is that developing an adaptive training model will improve efficiency and personalization, yield higher fidelity, and ultimately improve Veteran outcomes. We expect that completion of this project will produce an adaptive CPT training program that yields high therapist fidelity. Improving CPT fidelity in VHA will have a positive impact on the health and wellbeing of Veterans with PTSD.

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