>> View full seminar recording here: https://vimeo.com/showcase/6977663/video/788757710
Multi-level Adaptive Implementation Strategies (MAISYs): Design Principles, Optimization Questions and Choosing the Right Experimental Design will be presented by Daniel Almirall of the University of Michigan. This event is part of the Dissemination & Implementation Seminar Series, which features leaders in the field to speak on a variety of relevant and timely topics.
Learning objectives
- Learn about Multilevel Adaptive Implementation Strategies (MAISYs) and basic MAISY design principles.
- Learn about a variety of novel scientific questions whose answers can be used to construct an optimized MAISY.
- Learn about different types of optimization trial (experimental) designs and how to match the right trial design with the scientific questions of interest
- Begin to understand the difference between the optimization and evaluation of MAISYs.
Attendance
This seminar will be a hybrid event with opportunities to attend virtually via Zoom webinar or in person in room 4001B on the fourth floor of the Couch Biomedical Research Building.
The Couch building is located on the Washington University Medical Campus. We recommend parking in the Clayton Avenue Garage or taking public transportation.
Get directions to the Couch Biomedical Research Building.
Those attending in person are encouraged to bring their lunch.
About the Speaker
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
Daniel 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, Mr. 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.
About the Topic
Evidence-based practices often fail to be implemented or sustained due to barriers at multiple levels of an organization (e.g., system-level, practitioner-level). A growing group of implementation strategies can help mitigate challenges at these multiple levels, but significant heterogeneity exists in whether, and to what extent, organizations—and the practitioners who deliver treatment within them—respond to different strategies. However, it is unrealistic to provide all (or even most) of these strategies to all levels, at all times. This suggests the need for an approach that arranges and adjusts (adapts) the delivery of implementation strategies to the changing context and needs of practitioners within multiple levels of an organization. A multi-level adaptive implementation strategy (MAISY) offers a replicable, approach to precision implementation that guides implementers in how best to adapt and re-adapt (e.g., augment, intensify, switch) implementation strategies based on the changing context and changing needs at multiple levels.
The D&I seminar series is sponsored by the Insitute for Public Health’s Center for Dissemination and Implementation.