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Advancing Models and Theories for Digital Behavior Change Interventions

Eric B. Hekler, Susan Michie, Misha Pavel C, Daniel E. Rivera, Linda M. Collins, Holly Brugge Jimison, Claire V. Garnett, Skye N. Parral +1 more

2016-10-13articleAmerican Journal of Preventive Medicine174 citationsbronze

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Behavioral Health and Interventions Mobile Health and mHealth Applications Digital Mental Health Interventions

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Citations in this library

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References

1988Structural equation modeling in practice: A review and recommended two-step approach.

2007Ecological Momentary Assessment

2014The Behaviour Change Wheel: A Guide To Designing Interventions

2004A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever

2014Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review

2009The New Person-Specific Paradigm in Psychology

2005Health Behavior Theory and cumulative knowledge regarding health behaviors: are we moving in the right direction?

2015Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative data)

Cited by

2017Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential

2016Current Issues and Future Directions for Research Into Digital Behavior Change Interventions

2019It's Time to Think about Time in Health Psychology

2020Innovative methods for observing and changing complex health behaviors: four propositions

2020Digital health data-driven approaches to understand human behavior

2019A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the “DBCI Engagement Scale”

2018Serious Games for Children with Chronic Diseases: A Systematic Review

2020Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data

Details

Year2016

Typearticle

VenueAmerican Journal of Preventive Medicine

Languageen

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Identifiers

doi10.1016/j.amepre.2016.06.013

openalex_workW2531901946

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