An Overview of the BHCOE ABA Outcomes Framework™
Presented by Dr. Ellie Kazemi
BHCOE has developed an evidence-based tool that will drive the use of common outcome measures for ABA. The tool, the BHCOE ABA Outcomes Framework™, indicates for the first time a structure for selecting measures that the ABA industry can agree upon for evaluating treatment outcomes. This tool fills an important gap for providers, payors, and patients in understanding ABA treatment value and for all those who want to secure access to equitable and quality care. Learn about the BHCOE ABA Outcomes Framework™ with the aim of generating understanding for the role of this tool in practice.
About the Presenter
Dr. Ellie Kazemi, Chief Science Officer, BHCOE
Dr. Kazemi founded CSU Northridge’s Master of Science program in Applied Behavior Analysis. In addition to her lines of research, she has applied experience collaborating with the clinical community to provide high quality practical training and supervision experiences.
Her research interests and publications are focused on developing psychometrically reliable and valid measurement systems, leveraging advanced technology (robotics, virtual reality, and artificial intelligence) to increase efficiency and accessibility of training, developing effective computer-based clinical training, decreasing voluntary turnover of clinical staff and supervisors, and increasing leadership’s skills including giving effective performance feedback and resolving workplace conflict.
Dr. Kazemi has received several mentorship awards including the ABAI Best Mentor Award, the Outstanding Teaching Award, the Outstanding Service Award, and the Outstanding Faculty Award (deemed the highest honored achievement). She has published articles and book chapters on a variety of topics including training, staff turnover, and the use of technology in behavior analysis. She is the leading author of a handbook written for both supervisors and supervisees titled, ‘Supervision and Practicum in Behavior Analysis: A Handbook for Supervisees.’