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The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement.

Valeria de AngelFadekemi AdeleyeYuezhou ZhangNicholas CumminsSara MunirSerena LewisEstela Laporta PuyalFaith MatchamShaoxiong SunAmos A FolarinYatharth RanjanPauline CondeZulqarnain RashidRichard James Butler DobsonMatthew Hotopf
Published in: JMIR mental health (2023)
Different data streams showed varied patterns of missing data, despite being gathered from the same device. Longer and more complex treatments and clinical characteristics such as higher baseline anxiety may reduce long-term engagement with RMTs, and different devices may show opposite patterns of missingness during treatment. This has implications for the scalability and uptake of RMTs in health care settings, the generalizability and accuracy of the data collected by these methods, feature construction, and the appropriateness of RMT use in the long term.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • sleep quality
  • social media
  • machine learning
  • clinical trial
  • study protocol
  • artificial intelligence
  • health information
  • double blind