UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Moller, AC; Merchant, G; Conroy, DE; West, R; Hekler, E; Kugler, KC; Michie, S; (2017) Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential. Journal of Behavioral Medicine , 40 (1) pp. 85-98. 10.1007/s10865-016-9818-7. Green open access

[thumbnail of Michie_Mollen et al 2017_Applying advancing BCtheories and techs in digi health.pdf]
Preview
Text
Michie_Mollen et al 2017_Applying advancing BCtheories and techs in digi health.pdf - Accepted Version

Download (367kB) | Preview

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.

Type: Article
Title: Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10865-016-9818-7
Publisher version: http://doi.org/10.1007/s10865-016-9818-7
Language: English
Additional information: © Springer Science+Business Media New York 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/s10865-016-9818-7
Keywords: Behavior change techniques, Behavior change theories, Digital health, Dynamic systems, Optimization, Social networks
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health
URI: https://discovery.ucl.ac.uk/id/eprint/1535979
Downloads since deposit
237Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item