society of behavioral medicine - advanced methods in behavioral informatics
DESCRIPTION
Presentation of work of members of the Society of the Behavioral Medicine.TRANSCRIPT
Society of Behavioral Medicine: Advancing Methods in Behavioral Informatics
Eric Hekler, PhDSBM Technology SIG Co-Chair
Asst. Prof., College of Health Solutions
Arizona State University
@ehekler
www.designinghealth.org
Take-Home Message
SBM members are creating highly innovative
methods for designing, evaluating, and
implementing mHealth/eHealth behavioral
interventions for real-world use.
Domains
• Optimizing behavioral interventions
• Just-in-time adaptive interventions
• Theory taxonomy ontology real-world use
• Fostering rapid, relevant and responsive research
Optimizing Interventions
Linda M. Collins
The Methodology Center
Penn State
methodology.psu.edu
Statistical Reinforcement Learning LabUniversity of Michigan
• Research:
– Adaptive Interventions
– Sequential Multiple Assignment Randomized Trial
(SMART)
Inbal (Billie) Nahum-ShaniSusan MurphyDanny Almirall
Adaptive Intervention
SMART
Example
Adaptive
Example
http://methodology.psu.edu/ra/smart/projects
www.cbits.northwestern.edu
(Am J Prev Med 2013;45(4):517–523)
David Mohr
Northwestern
Just-in-Time Adaptive Interventions
Statistical Reinforcement Learning LabUniversity of Michigan
• Research:
– Just In Time Adaptive Interventions (JITAI)
– Micro-Randomized trial designs and data analysis
methods for JITAI development
https://community.isr.umich.edu/public/jitai/Workshop.aspx
Inbal (Billie)
Nahum-Shani
Susan MurphyDanny Almirall Pedja Klasnja Ambuj Tewari
Just In Time Adaptive Intervention (JITAIs)
• Individualized treatments delivered when-ever and where-ever the individual needs help, via a wearable device (e.g., smartphone).
+
• Advancing: • Micro-randomization trial designs • Data analysis methods for constructing good decision rules.• Online training algorithms that will personalize decision rules.
https://community.isr.umich.edu/public/jitai/Workshop.aspx
Controller-Driven Just in Time Adaptive Interventions
Co-PIs: Eric Hekler & Daniel Rivera, ASU
Other Collaborators: Matthew Buman, Marc Adams, & Pedrag Klasnja
Daniel Rivera
www.designinghealth.org support from the National Science Foundation
Dynamical Model of Social Cognitive Theory
Martin, Riley, Rivera, Hekler, et al. 2014
Informative Experiment for a Controller
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Steps per Day
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Intervention 4
Intervention 3
Intervention 2
Intervention 1
Measurement
www.designinghealth.org support from the National Science Foundation
Theory Taxonomy Ontology Use
Developed: BCT Taxonomy v1
Underway – BCT Theory Consortium
Study 4: TriangulationTriangulation of consensus, evidence synthesis and BCT clustering methods
Study 3: BCT ClusteringBCT clustering: Identifying implicit theories (published interventions and
expert consensus)
Study 2: Expert ConsensusIdentifying and agreeing BCT-Theory links
Study 1: Evidence SynthesisExamining BCT-Theory links in published interventions
Designing and evaluating theory-based interventions-
Developing and testing a methodology for linking behaviour
change techniques to theory
The Team
Marie Johnston
Professor Emeritus
University of Aberdeen
Marijn de Bruin
Chair in Health Psychology
University of Aberdeen
Susan Michie
Professor of Health
Psychology
University College LondonAlex Rothman
Professor of Psychology
University of Minnesota
Mike Kelly
Director of Centre for
Public Health
NICE
/ University of Cambridge
Lauren Connell
Research Assistant
University College London
Rachel Carey
Research Associate
University College London
International Advisory Board
Behavioral Ontology v1
Larry An
U. MichiganSusan Michie
U. College London
http://chcr.umich.edu/ http://www.ucl.ac.uk/behaviour-change
Timothy Bickmore, Northeastern University
Screen young African American
women on 108 health risks. Create
individualized action plan.
Conduct longitudinal, stage-
based counseling to address
specific risks (22 on average).
Preconception CareHow do we build systems to intervene on dozens of health behaviors
simultaneously?
Rapid, Relevant, and Responsive Research
Riley WT, Glasgow RE, Etheredge L, Abernethy AP. Rapid, responsive, relevant (R3) research: a call for a rapid learning
health research enterprise. Clinical and translational medicine. 2013;2(1):1-6.
Rapid, Relevant, and Responsive Research
Bill Riley
Acting Director,
OBSSR, NIH
Challenging Assumptions
www.agilescience.org
Developing Methods: Agile Science
www.agilescience.org
Creating the Tools
www.agilescience.org
Sign Up to Be a Beta-Tester
www.agilescience.org
Take-Home Message
SBM members are creating highly innovative
methods for designing, evaluating, and
implementing mHealth/eHealth behavioral
interventions for real-world use.
