This study aims to further develop and evaluate a relatively low-burden observational instrument to measure the adherence and competence of community-based clinical supervisors of Multisystemic Treatment (MST). It will evaluate, in a randomized trial, the effects of a web-based Supervision Audit and Feedback (SAF) intervention on mean levels of supervisor adherence and competence; change over time in supervisor adherence and competence; mean levels of therapist adherence; and youth post-treatment outcomes. It will further evaluate the association between supervisor adherence ratings, competence ratings, therapist ratings, and youth post-treatment outcomes, including the extent to which these association differ by intervention condition; as a step toward maximizing the efficiency of instrument use in future community-based research on supervision fidelity, competence, and feedback interventions. Finally, it will provide a preliminary estimate of the resources required to implement the web-based Supervision Audit and Feedback Intervention in community-based provider organizations.Year Project Began: 2014
Funder: National Institute on Drug Abuse
Jason E. Chapman, Ph.D.
Oregon Social Learning Center
Active Research Projects
- Scale It Up
- SIC Coaching Strategy
- Multisystemic Therapy for Emerging Adults MST-EA (NIDA)
- Juvenile Probation Officers-Contingency Management (JPO-CM)
- Multisystemic Therapy for Emerging Adults MST-EA (NIMH)
Primary Research and Clinical Interests
Dr. Chapman, a clinical psychologist by training, is a Senior Research Scientist specializing in research design, measurement, and statistical methods. He joined the Oregon Social Learning Center (OSLC) in 2014, and prior to this, he was an Associate Professor of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC).
Dr. Chapman’s research, which is mostly NIH-funded, includes studies that evaluate the efficacy, effectiveness, dissemination, and implementation of EPBs in mental health, juvenile justice, and child welfare settings. Across more than 32 NIH-funded grants, he has primarily served as a co-investigator, but also as a principal investigator, data analyst, and consultant. In these roles, he focuses specifically on designing and implementing studies, developing and evaluating measurement instruments, and applying advanced statistical analyses to study data. With most of his research occurring in real-world settings, the studies routinely rely on innovative research designs (e.g., dynamic wait-listed and stepped-wedge designs, piecewise and interrupted time series designs, cluster-randomized designs), modern measurement methods (e.g., Rasch, IRT, and bifactor measurement models, as well as their multilevel formulations), and advanced statistical models for longitudinal and nested data (e.g., mixed-effects regression models, latent growth models, growth mixture models). This work has also been extended to specialized designs and analyses to evaluate mechanisms of action and other mediation effects.
Dr. Chapman’s individual program of research focuses on developing and evaluating instruments to measure the fidelity of evidence-based interventions, specifically with the aim of enhancing the efficiency and effectiveness of measurement in community-based settings. Most recently, and in collaboration with Dr. Sonja K. Schoenwald, Dr. Chapman was PI of a NIMH-funded R21/R33 that aimed to measure and improve the adherence and competence of supervisors of an evidence-based treatment delivered in community-based settings. Likewise, with Dr. Bryce McLeod (Virginia Commonwealth University), he was Co-PI of a NIMH-funded R21 that aimed to develop a pragmatic observational treatment integrity instrument for outpatient treatment.