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A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics.

Michael Jae SongJohn WardFiona ChoiMohammadali NikooAnastasia FrankFarhud ShamsKatarina TabiDaniel V VigoReinhard Michael Krausz
Published in: JMIR mental health (2018)
Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.
Keyphrases
  • big data
  • mental health
  • machine learning
  • artificial intelligence
  • social media
  • mental illness
  • deep learning
  • systematic review
  • electronic health record
  • decision making