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Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review.

Brian LoJenny ShiElisa HollenbergAlexxa Abi-JaoudéAndrew JohnsonDavid Wiljer
Published in: JMIR mental health (2020)
This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.
Keyphrases
  • mental health
  • health information
  • physical activity
  • big data
  • mental illness
  • social media
  • electronic health record
  • systematic review
  • machine learning
  • young adults
  • artificial intelligence
  • drug induced