Friday April 28, 2023

44th Annual Meeting & Scientific Sessions of the Society of Behavioral Medicine

d3c Presentations

Self-Relevant Appeals to Engage in Self-Monitoring of Alcohol Use: A Micro-randomized Trial
Stephanie M. Carpenter, PhD – University of Wisconsin-Madison

Time-Varying Model of Engagement with Digital Self Reporting
Michael Sobolev, PhD -Cedars-Sinai Medical Center

Design of Experiments with Sequential Randomizations at Multiple Time Scales: The Hybrid Experimental Design
Inbal Billie Nahum-Shani, PhD

When should we prompt stress management for smokers attempting to quit? Results of the Sense2Stop Micro-Randomized Trial
Bonnie Spring, PhD – Northwestern University

Pre Conference Course 3
Linda M Collins PhD, FSBM
Heather Wasser PhD, MPH, RD

Multiphase Optimization STrategy (MOST) is a comprehensive principled engineering-inspired framework for optimizing and evaluating multicomponent behavioral biobehavioral biomedical and social-structural interventions. Presented by the Optimization of Behavioral and Biobehavioral Interventions Special Interest Group (OBBI SIG) this course is designed to provide an overview of the basic principles definitions and utilities of MOST from an interdisciplinary perspective.

Pre Conference Course 4
Kate Guastaferro PhD, MPH
Angela Pfammatter PhD, FSBM
Jacob Szeszulski PhD

This session will serve as an extension of introductory MOST offerings delving specifically into the advanced topic of matching the right research design to the research question in the optimization phase of MOST. There are multiple designs that a scientist could select including: the factorial or fractional factorial experiment the sequential multiple assignment randomized trial (SMART) the microrandomized trial (MRT) and others. The selection of the research design is guided by the research question and the intervention component(s) being tested (e.g. behavior change technique(s) implementation strategy). Outcomes whether proximal behavioral clinical endpoints and/or implementation metrics must also be considered in the choice of design. In this preconference workshop we will provide an overview of the different research questions that may be answered by various experimental designs.