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

Web-based and Mobile Health Interventions (4217) Smoking Cessation (653) Prevention and Health Promotion (1478) mHealth for Wellness, Behavior Change and Prevention (3432) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (687)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54248, first published .
Predicting Early Dropout in a Digital Tobacco Cessation Intervention: Replication and Extension Study

Predicting Early Dropout in a Digital Tobacco Cessation Intervention: Replication and Extension Study

Predicting Early Dropout in a Digital Tobacco Cessation Intervention: Replication and Extension Study

Authors of this article:

Linda Q Yu1 Author Orcid Image ;   Michael S Amato1, 2 Author Orcid Image ;   George D Papandonatos3 Author Orcid Image ;   Sarah Cha1 Author Orcid Image ;   Amanda L Graham1, 2, 4 Author Orcid Image
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Journals

  1. Santhosh V, Vas R, Bannur S, Sridharan S, Sakthi K, Venkatesh U, Kumar V, Bera O. Development and application of the BREATHE framework for systematic content and quality evaluation of tobacco cessation mobile applications in India. Nicotine and Tobacco Research 2026 View