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

Mobile Health (mhealth) (2941) Smoking Cessation (557) mHealth for Wellness, Behavior Change and Prevention (2872) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493) 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/43629, first published .
Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials

Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials

Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials

Authors of this article:

Jonathan Bricker1, 2 Author Orcid Image ;   Zhen Miao3 Author Orcid Image ;   Kristin Mull1 Author Orcid Image ;   Margarita Santiago-Torres1 Author Orcid Image ;   David M Vock4 Author Orcid Image
Article Authors Cited by (8) Tweetations (9) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually