TY - JOUR
T1 - Applying and advancing behavior change theories and techniques in the context of a digital health revolution
T2 - proposals for more effectively realizing untapped potential
AU - Moller, Arlen C.
AU - Merchant, Gina
AU - Conroy, David E.
AU - West, Robert
AU - Hekler, Eric
AU - Kugler, Kari C.
AU - Michie, Susan
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - 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.
AB - 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.
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U2 - 10.1007/s10865-016-9818-7
DO - 10.1007/s10865-016-9818-7
M3 - Article
C2 - 28058516
AN - SCOPUS:85008471519
SN - 0160-7715
VL - 40
SP - 85
EP - 98
JO - Journal of Behavioral Medicine
JF - Journal of Behavioral Medicine
IS - 1
ER -