Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions.

By Lucy Yardley, B. Spring, Heleen Riper, Leanne G. Morrison, David Crane, K. Curtis, Gina Merchant, F. Naughton, Ann Blandford. American Journal of Preventive Medicine, 2016

1,043 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis (2019, background): “These patterns could be explained using the notion of effective engagement described by Yardley and colleagues [36], wherein there is “sufficient engagement with the intervention to achieve intended outcomes.”
Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis (2019, neutral): “Sustaining user engagement is particularly important for smartphone-based interventions due to the absence of human support and supportive accountability [37].”
Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies (2018, methodology): “According to Perksi et al [4], high engagement influences behavior change through its influence on the determinants of behavior (similar to macroengagement, as described by Yardley et al).”
The promise of machine learning in predicting treatment outcomes in psychiatry (2021, background): “The effectiveness of digital CBT interventions is mediated by patient engagement 84 .”
Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop (2017, background): “The workshop led to a series of publications [3-7].”