Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential

Arlen C. Moller, Gina Merchant, David E. Conroy, Robert West, Eric Hekler, Kari C. Kugler, Susan Michie

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

Abstract

As more behavioral health interventions move from traditional to digital platforms, the application of evidence-based theories and techniques may be doubly advantageous. First, it can expedite digital health intervention development, improving efficacy, and increasing reach. Second, moving behavioral health interventions to digital platforms presents researchers with novel (potentially paradigm shifting) opportunities for advancing theories and techniques. In particular, the potential for technology to revolutionize theory refinement is made possible by leveraging the proliferation of “real-time” objective measurement and “big data” commonly generated and stored by digital platforms. Much more could be done to realize this potential. This paper offers proposals for better leveraging the potential advantages of digital health platforms, and reviews three of the cutting edge methods for doing so: optimization designs, dynamic systems modeling, and social network analysis.

Original languageEnglish (US)
Pages (from-to)85-98
Number of pages14
JournalJournal of Behavioral Medicine
Volume40
Issue number1
DOIs
StatePublished - Feb 1 2017

Keywords

  • Behavior change techniques
  • Behavior change theories
  • Digital health
  • Dynamic systems
  • Optimization
  • Social networks

ASJC Scopus subject areas

  • General Psychology
  • Psychiatry and Mental health

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