Search Articles

View query in Help articles search

Search Results (1 to 10 of 183 Results)

Download search results: CSV END BibTex RIS


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

Available measures from website registration used to characterize the study sample included gender, age, tobacco use frequency (every day, some days, and not at all), and zip code (mapped to Rural Area Continuum Codes per Amato and Graham [14]). User activity was tracked for 1 year after registration. Website page views were recorded with Adobe Analytics, and SMS text message responses were recorded in EX’s custom SMS text messaging application database.

Linda Q Yu, Michael S Amato, George D Papandonatos, Sarah Cha, Amanda L Graham

J Med Internet Res 2024;26:e54248