Process-based therapy (PBT) is a meta-theoretical model of evidence-based therapies that organizes adaptive and maladaptive processes of change using complex and dynamic networks based on an evolution science framework. Although papers and books have been written on PBT, PBT has yet to be empirically tested as an intervention in a clinical setting. The proposed study aims to examine the effects of PBT on 6 adult patients presenting for treatment at a university community outpatient clinic using a nonconcurrent multiple baseline design. We hypothesize that network structures of patients will change in an adaptive direction over the course of PBT and that these changes will be maintained at 1-month follow-up.~The study will take place remotely over HIPAA-compliant Zoom or in person at the Center for Anxiety and Related Disorders (CARD), depending on the status of the COVID-19 pandemic and participants' preferences. Variables of interest include idiographic items specific to the individual (e.g., treatment goals, problem behaviors, valued action, psychological phenomena, contextual influences) and physiological data (e.g., physical activity, screen time). Throughout the study until 1-month follow-up, participants will be randomly prompted 4 times a day to rate idiographic items via Ethica, an app-based platform for smartphones that collects questionnaire data and passive objective data from sensors. Physiological data will be collected passively through Ethica. These variables will comprise the network used to characterize each participant's presentation. In addition to examining network structures, we will use the Process-Based Assessment Tool (PBAT; Ciarrochi, Hayes, Hofmann, 2021) as a nomothetic measure of PBT-related improvement. The proposed study will provide a proof of concept for PBT, evaluate its efficacy, and demonstrate how it can be applied in a real-world setting.
The proposed study aims to examine the effects of process-based therapy on 6 adult patients presenting for treatment at a university community outpatient clinic using a nonconcurrent multiple baseline design.