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Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study.

Diana Catalina CumpanasoiuAngel Enrique RoigJorge E PalaciosDaniel DuffyScott McNamaraDerek Richards
Published in: JMIR mHealth and uHealth (2023)
Most patients benefit from treatment, and the various patterns of improvement have implications for how the iCBT intervention is delivered. Identifying predictors of nonresponse or early response might inform the level of support and monitoring required for different types of patients. Further work is necessary to explore the differences between these trajectories to understand what works best for whom and to identify early on those patients who are less likely to benefit from treatment.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • randomized controlled trial
  • depressive symptoms
  • physical activity
  • machine learning
  • artificial intelligence
  • patient reported