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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (539) JMIR Theme Issue: COVID-19 Special Issue (2498) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1820) Web-based and Mobile Health Interventions (3652)

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 (2) 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
  2. Gimpfl S, Schwarz S, Rohm F, Ohlhaut N, Röger C, Senger M, Kussmann M, Linseisen J, Gedrich K. Dietary greenhouse gas emissions and resource use among Bavarian adults: associations with sociodemographics and food choices. Frontiers in Nutrition 2025;12 View