UCSF, Center for AIDS Prevention Studies
This is a Center-to-Center workshop collaborative on Adaptive Interventions in substance use and HIV between the Data Science for Dynamic Intervention Decision-Making Center (d3c) at the University of Michigan and the Center for AIDS Prevention Studies (CAPS) at the University of California San Francisco.
An adaptive intervention is a sequence of intervention decision rules which explicitly guide how best to modify the type/intensity of treatment, prevention, recovery or implementation services based on information about an individual and their environment/context. A multimodality adaptive intervention is a special form of an adaptive intervention that integrates and adapts human-delivered (e.g., by clinicians) and digital (e.g., via mobile devices) components at multiple timescales (e.g., monthly and daily, respectively). A multilevel adaptive intervention is a special form of an adaptive intervention that tailors the provision of intervention components across multiple levels (e.g., clinic-level interventions and patient-level interventions). There is much interest in research aimed at constructing these highly novel adaptive interventions. However, randomized trial design and analytic methods are still in their infancy.
Daniel Almirall, PhD
Inbal Billie Nahum-Shani, PhD