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

BackgroundDetecting early dropout from digital interventions is crucial for developing strategies to enhance user retention and improve health-related behavioral outcomes. Bricker and colleagues proposed a single metric that accurately predicted early dropout from 4 digital t...

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Bibliographic Details
Main Authors: Linda Q Yu, Michael S Amato, George D Papandonatos, Sarah Cha, Amanda L Graham
Format: Article
Language:English
Published: JMIR Publications 2024-11-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2024/1/e54248
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