Dr. Dopp is a child clinical psychologist whose primary research interest is the dissemination and implementation of psychological treatments for children and families, especially those who are traditionally underserved (e.g., racial and ethnic minorities, low-income communities, rural communities) and/or those involved in multiple service systems (e.g., juvenile justice, child welfare). He completed his PhD at the University of Missouri and his predoctoral internship at the Medical University of South Carolina. He joined the RAND Corporation as an Associate Behavioral and Social Scientist in Summer 2019 after spending three years as a faculty member at the University of Arkansas.
There are two major foci to Dr. Dopp’s program of research. First, he investigates the economics of implementation effots for evidence-based treatments – including questions about the economic impact of implementation efforts as well as financing strategies to support implementation and sustainment. He has served, or is currently serving, as an investigator or consultant on 13 research projects related to the economic impact of evidence-based treatments for youth and families in community settings. Those projects have not only examined the economic impact of specific implementation efforts in youth mental health service agencies (including in a recently awarded NIMH R34 pilot study testing a care navigator model for children’s advocacy centers; PI: Silovsky) but have also involved development of a robust, mixed-method (i.e., quantitative and qualitative) approach to economic evaluation of implementation efforts. Second, recognizing the importance of more micro-level intervention and individual influences on the implementation process, Dr. Dopp pursues the development of innovative clinical tools that are contextually appropriate for use with underserved populations – examples include use of human-centered design, telepsychology, and culturally relevant services. To pursue these two research foci, he uses a growing variety of mixed research methods including multilevel regression models, cost-benefit and cost-effectiveness analysis, qualitative interviews, concept mapping, and meta-analysis.