This paper is in the following e-collection/theme issue:

Use and User Demographics of mHealth (335) Evaluation and Research Methodology for mHealth (208) mHealth for Wellness, Behavior Change and Prevention (2871) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41815, first published .
Trajectories of Symptoms in Digital Interventions for Depression and Anxiety Using Routine Outcome Monitoring Data: Secondary Analysis Study

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

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

Authors of this article:

Diana Catalina Cumpanasoiu1 Author Orcid Image ;   Angel Enrique1, 2 Author Orcid Image ;   Jorge E Palacios1, 2 Author Orcid Image ;   Daniel Duffy1, 2 Author Orcid Image ;   Scott McNamara1 Author Orcid Image ;   Derek Richards1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Hisler G, Young K, Cumpanasoiu D, Palacios J, Duffy D, Enrique A, Keegan D, Richards D. Incorporating a deep‐learning client outcome prediction tool as feedback in supported internet‐delivered cognitive behavioural therapy for depression and anxiety: A randomised controlled trial within routine clinical practice. Counselling and Psychotherapy Research 2024 View
  2. McBain R, Schuler M, Rukundo T, Wanyenze R, Wagner G. Trajectories of perinatal depression among women living with HIV in Uganda. Journal of Global Health 2024;14 View