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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) Web-based and Mobile Health Interventions (3297) Depression and Mood Disorders; Suicide Prevention (1363) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Back Pain (116)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38261, first published .
Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials

Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials

Predictors of Dropout in a Digital Intervention for the Prevention and Treatment of Depression in Patients With Chronic Back Pain: Secondary Analysis of Two Randomized Controlled Trials

Authors of this article:

Isaac Moshe1 Author Orcid Image ;   Yannik Terhorst2 Author Orcid Image ;   Sarah Paganini3 Author Orcid Image ;   Sandra Schlicker4 Author Orcid Image ;   Laura Pulkki-Råback1 Author Orcid Image ;   Harald Baumeister2 Author Orcid Image ;   Lasse B Sander5 Author Orcid Image ;   David Daniel Ebert6 Author Orcid Image
Article Authors Cited by (7) Tweetations (8) Metrics

Journals

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  2. van Doorn M, Monsanto A, Wang C, Verfaillie S, van Amelsvoort T, Popma A, Jaspers M, Öry F, Alvarez-Jimenez M, Gleeson J, Nieman D. The Effects of a Digital, Transdiagnostic, Clinically and Peer-Moderated Treatment Platform for Young People With Emerging Mental Health Complaints: Repeated Measures Within-Subjects Study. JMIR mHealth and uHealth 2023;11:e50636 View
  3. Kötting L, Anand-Kumar V, Keller F, Henschel N, Lippke S. Effective Communication Supported by an App for Pregnant Women: Quantitative Longitudinal Study. JMIR Human Factors 2024;11:e48218 View
  4. Dominguez-Rodriguez A, Herdoiza-Arroyo P, González-Ramírez L, Martínez-Arriaga R, Villarreal-Zegarra D, Santos da Silva A, González-Cantero J, Vargas Salinas V, S. Mensorio M, Cisneros Hernández A, Lourenço dos Santos R, Nieto Ramos E, Albán-Terán M, Mateu-Mollá J, Ramírez-Martínez F, Colmenero Guadián A, Martínez-Rubio D, Langer Á, Araya C, Castellanos-Vargas R. Internet-based self-administered intervention to reduce anxiety and depression symptomatology and improve well-being in 7 countries: protocol of a randomized control trial. Frontiers in Psychology 2024;15 View
  5. Zantvoort K, Hentati Isacsson N, Funk B, Kaldo V. Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions. DIGITAL HEALTH 2024;10 View
  6. Idrees A, Kraft R, Mutter A, Baumeister H, Reichert M, Pryss R, Kisimbi T. Persuasive technologies design for mental and behavioral health platforms: A scoping literature review. PLOS Digital Health 2024;3(5):e0000498 View
  7. Sanchez Ortuño M, Pecune F, Coelho J, Micoulaud-Franchi J, Salles N, Auriacombe M, Serre F, Levavasseur Y, De Sevin E, Sagaspe P, Philip P. Determinants of Dropout from a Virtual-Agent Based App for Insomnia Management: An Analysis in a Longitudinal, Self-Selected Sample of Users with Insomnia Symptoms (Preprint). JMIR Mental Health 2023 View