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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Web-based and Mobile Health Interventions (4018) Depression and Mood Disorders; Suicide Prevention (1691) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Back Pain (137)

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 (13) Tweetations (7) Metrics

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  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
  8. Hidalgo J, Kim J, Llorin J, Stanton K, Cherian J, Bloomfield L, Fudolig M, Price M, Ha J, Noble N, Danforth C, Dodds P, Fanning J, McGinnis R, McGinnis E, Villanueva C. Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices. PLOS Digital Health 2024;3(11):e0000650 View
  9. Martins D, Bermudez M, de Abreu Costa M, Fleck M, Salum G, Dreher C, Manfro G. Predictors of dropout in cognitive behavior and interpersonal online brief psychotherapies for essential professionals during the COVID-19 pandemic. Scientific Reports 2024;14(1) View
  10. Van Goethem V, Dierickx S, Matthys O, Deliens L, Lapeire L, Surmont V, Geboes K, Renard V, Grønvold M, D’Alton P, Turola E, Guberti M, van der Wel M, Brazil K, Bristowe K, Hudson P, De Vleminck A, Cohen J. Influence of Digital Competence on Participation and Retention of Patients with Advanced Cancer and Their Family Caregivers in a Randomized Controlled Trial with an e-Health Component: Findings from the DIAdIC Trial. Telemedicine and e-Health 2025;31(9):1117 View
  11. Yoshioka T, Goto A, Mizushima T, Suzuki Y, Ueda Y, Yagi A, Sekine M, Kudo R, Garland S, Kumarasamy S, Ismail-Pratt I, Reimer K, Miyagi E. Web-Based Video Intervention and Associated Factors for the Uptake of the Catch-Up Human Papillomavirus Vaccination in Japan: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e67778 View
  12. Simon L, Steinmetz L, Bendig E, Küchler A, Riemann D, Ebert D, Spiegelhalder K, Baumeister H. Exploring dropout in internet-delivered cognitive behavioral therapy for insomnia: A secondary analysis of prevalence, self-reported reasons, and baseline and intervention data as predictors. International Journal of Clinical and Health Psychology 2025;25(3):100598 View
  13. Figueiredo T, Alcântara L, Carrilho J, Paúl C, Costa E. Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors. Journal of Medical Internet Research 2025;27:e77362 View