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 (2496) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1812) Web-based and Mobile Health Interventions (3647)

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
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New in JMIR: Predictors of Dropout Among #Psychosomatic Rehabilitation ##Patients During the #COVID19 #coronavirus Pandemic: Secondary Analysis of a Longitudinal #Study of #Digital Training https://t.co/xHuoFbUfhM https://t.co/Fx1wlJYqV7

4:23 PM · Nov 27, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Predictors of Dropout Among #Psychosomatic Rehabilitation ##Patients During the #COVID19 #coronavirus Pandemic: S…

4:24 PM · Nov 27, 2023

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