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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

For the main aim of training a model to predict early dropouts, data were drawn from the i Can Quit app arm of a 2-arm randomized controlled trial (RCT) comparing i Can Quit with the NCI Quit Guide app for smoking cessation, with full protocol details previously described [26].

Jonathan Bricker, Zhen Miao, Kristin Mull, Margarita Santiago-Torres, David M Vock

J Med Internet Res 2023;25:e43629

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Article has an altmetric score of 4

Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial

In a large 2-arm randomized trial, i Can Quit was compared with Quit Guide, a USCPG-based smartphone app. At the 12-month follow-up, i Can Quit was 1.5 times more efficacious than Quit Guide for smoking cessation among 2415 adults who smoked (36% racial or ethnic minority groups) from all 50 US states [35]. The i Can Quit study was the first full-scale randomized controlled trial with long-term follow-up to show that a smartphone app was efficacious for smoking cessation.

Jonathan B Bricker, Kristin E Mull, Margarita Santiago-Torres, Zhen Miao, Olga Perski, Chongzhi Di

J Med Internet Res 2022;24(8):e39208

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Article has an altmetric score of 3