CAPS Methods Core Workshop: Adaptive Interventions for Substance Use and HIV: Advances in intervention delivery frameworks and experimental design
CAPS Methods Core presents:
Adaptive Interventions for Substance Use and HIV: Advances in intervention delivery frameworks and experimental design
Registration deadline is September 15. Space is limited, and registration is first come, first served. To request registration information, please contact [email protected].
Adaptive interventions are intervention delivery frameworks that guide how dynamic information about a person should be used in practice to decide whether and how to intervene. The goal is to deliver the right type of intervention, at the right time, while minimizing the delivery of unnecessary treatment. Advances in digital technologies, such as EHRs, mobile devices, and wearable sensors, have created unprecedented opportunities to adapt interventions on different timescales (e.g., slow—every few months or weeks, and fast—every day, every few hours, or at the scale of minutes) and at multiple levels (e.g., at the patient level, the clinic level, and the health system level).
Recent years have seen explosive growth in research to develop adaptive interventions across various domains of health, including substance use and HIV. This growth was powered by the rapid development of experimental designs that enable investigators to answer important scientific questions about how to optimize (i.e., systematically develop effective and resource-efficient) various types of adaptive interventions. These novel designs, which were developed by our team, include the sequential multiple assignment randomized trial (SMART), the micro-randomized trial (MRT), the hybrid experimental design (HED), and the multi-level SMART.
This workshop will provide an introduction to novel types of adaptive interventions and recent methodological advances for optimizing them. The goals are to bring together methodologists and domain scientists developing interventions to combat substance use and HIV, to generate ideas related to the development of adaptive interventions, and to lay a foundation for future collaborations between d3c and CAPS in this area.
Presenters
Inbal Billie Nahum-Shani, Professor
Director, Data Science for Dynamic Decision-making Center (d3c)
Survey Research Center, Institute for Social Research
University of Michigan
Dr. Nahum-Shani’s primary research interest is harnessing adaptive interventions to transform health care. Adaptive interventions address the changing needs of individuals by modifying their treatment based on dynamic information about their state and progress. An important focus of her work is the Just-In-Time Adaptive Intervention (JITAI), a special type of adaptive intervention that leverages powerful mobile and sensing technologies to adapt the delivery of support in real-world settings—in near real-time. Her work is highly multidisciplinary, spanning behavioral health and applied psychology, while also being tightly integrated with advanced research methodology. She recently pioneered the development of a new experimental design—the hybrid experimental design—to help health scientists optimize the integration of human-delivered (e.g., coaching session) components with digital (e.g., mobile-based) components, which necessitates adaptation on multiple timescales.
Daniel Almirall (he/his/él), Associate Professor
Co-Director, Data Science for Dynamic Intervention Decision-making Center (d3c)
Department of Statistics, College of Literature, Sciences, and the Arts
Survey Research Center, Institute for Social Research
University of Michigan
Dr. Almirall is a statistician who develops methods to form evidence-based adaptive interventions. Adaptive interventions are used to guide individualized intervention decisions for the on-going management of chronic illnesses or disorders such as drug abuse, depression, anxiety, autism, obesity, or HIV/AIDS. More recently, Dr. Almirall has been developing methods to inform the construction of optimized multilevel adaptive implementation interventions (MAISYs) using Multilevel Implementation SMARTs (MI-SMARTs). He is particularly interested in applications in mental health and substance use.
Registration deadline is September 15. Space is limited, and registration is first come, first served. To request registration information, please contact [email protected].