December 6, 2023, 12:00 - 12:50 p.m.

ABS Network

Description

One third of post-9/11 veterans in Veterans Health Administration suffer from posttraumatic stress disorder (PTSD), and among those who initiate Cognitive Processing Therapy (CPT), up to 70% drop out before receiving an adequate dose of treatment. Unfortunately, veterans who drop out prematurely may never receive the most effective components of CPT. Thus, there is an urgent need to use empirical approaches to identify the most effective components of CPT, so that CPT can be adapted into a briefer format. The Multiphase Optimization Strategy (MOST) is an engineering-inspired framework that uses an optimization trial to assess the performance of individual intervention components within a multicomponent intervention such as CPT. Guided by the MOST framework, the goal of the current project is to empirically inform an abbreviated version of CPT via a highly efficient fractional factorial design. In this talk, we will discuss challenges and clinical considerations when using the MOST framework to adapt behavioral interventions.

Those attending the lecture on MOST on December 13 are encouraged to watch an Introduction to MOST webinar by Linda Collins. (https://youtu.be/6p8ysqMMP0w ) “Optimization of Prevention Interventions Using MOST: State of the Science & Future Directions (MtG)”
Or join the Introduction to MOST watch party.

Learn more about the Applied Biostatistical Sciences Network.

Speakers

Dr. John Dziak is a research scientist at the Institute for Health Research and Policy at the University of Illinois Chicago. He earned his PhD in statistics from the Pennsylvania State University and spent 15 years as a research associate professor at the Methodology Center at Penn State. His main current statistical research interests are interpretability in the analysis of intensive longitudinal data; latent class analysis (finite mixture modeling); mediation with high-dimensional or longitudinal data; experimental design and analysis, especially analysis of sequential multiple assignment randomized trials; and applications in substance abuse, mental health and other health-related research.

Dr. Rebecca Sripada is an Associate Professor in the University of Michigan Department of Psychiatry, a Research Scientist in the VA Center for Clinical Management Research, and a licensed psychologist with 15 years of experience delivering evidence-based treatment to individuals with PTSD. The overarching goal of her research is to adapt evidence-based PTSD interventions to improve fit for different settings and patient populations. Her current projects test the effectiveness of these adapted interventions using Sequential, Multiple Assignment, Randomized Trials (SMART) and the Multiphase Optimization Strategy (MOST). She also conducts studies elucidating disparities in access to PTSD care, variations in quality of PTSD care, and factors associated with PTSD treatment response.