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Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study.

Lauren BellClaire GarnettTianchen QianOlga PerskiElizabeth J WilliamsonHenry W W Potts
Published in: Journal of medical Internet research (2020)
Visualizations play an important role in understanding engagement with behavior change apps. Here, we discuss how simple visualizations helped identify important patterns of engagement with Drink Less. Our visualizations of behavioral engagement suggest that the daily notification substantially impacts engagement. Furthermore, the visualizations suggest that a fixed notification policy can be effective for maintaining engagement for some users but ineffective for others. We conclude that optimizing the notification policy to target both effectiveness and engagement is a worthwhile investment. Our future goal is to both understand the causal effect of the notification on engagement and further optimize the notification policy within Drink Less by tailoring to contextual circumstances of individuals over time. Such tailoring will be informed from the findings of our micro-randomized trial (MRT), and these visualizations were useful in both gaining a better understanding of engagement and designing the MRT.
Keyphrases
  • social media
  • public health
  • healthcare
  • mental health
  • systematic review
  • machine learning
  • alcohol consumption