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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493) JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1515) Web-based and Mobile Health Interventions (3299)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43584, first published .
Predictors of Dropout Among Psychosomatic Rehabilitation Patients During the COVID-19 Pandemic: Secondary Analysis of a Longitudinal Study of Digital Training

Predictors of Dropout Among Psychosomatic Rehabilitation Patients During the COVID-19 Pandemic: Secondary Analysis of a Longitudinal Study of Digital Training

Predictors of Dropout Among Psychosomatic Rehabilitation Patients During the COVID-19 Pandemic: Secondary Analysis of a Longitudinal Study of Digital Training

Authors of this article:

Lingling Gao1 Author Orcid Image ;   Franziska Maria Keller1 Author Orcid Image ;   Petra Becker2 Author Orcid Image ;   Alina Dahmen1, 3 Author Orcid Image ;   Sonia Lippke1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. 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