All day workshop- Monday, May 21, 2018 9:00 am-5:00 pm
Mobile devices along with wearable sensors facilitate our ability to deliver supportive treatments anytime and anywhere. Indeed mobile interventions are being developed and employed across a variety of health fields, including to support HIV medication adherence, encourage physical activity and healthier eating as well as to support recovery in addictions. Just-in-time adaptive interventions are mobile health interventions that include notifications or other types of pushes to the user. This workshop will discuss the components of just-in-time adaptive interventions with an eye towards how we might use data to inform the development of these components. We will discuss the design of micro-randomized trial for providing useful data. Lastly a critical question in the optimization of mobile health interventions is: "When and in which contexts, is it most useful to deliver treatments to the user?" This question concerns time-varying dynamic moderation by the context (location, stress, time of day, mood, ambient noise, etc.) of the effectiveness of the treatments on user behavior. We will review and discuss methods for using micro-randomized trial data to assess moderation. Throughout we will illustrate the concepts using trials in a variety of domains including trials aimed at improving engagement in mobile health interventions, in smoking cessation and in physical activity. Register for the preconference and/or the 2018 Modern Modeling Methods Conference by clicking here. The cost of the preconference workshop is $125 if you register by May 1st, and breakfast, lunch, snacks, and materials are included in the cost of the workshop.
This workshop will be held in Laurel Hall, Room 102 on Monday, 5/21/18 from 9:00am-5:00pm.
Register for the preconference and/or the 2018 Modern Modeling Methods Conference here.
For more information, contact: Betsy at betsy@uconn.edu