Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation

Mobile apps are commonly used to deliver digital interventions, typically through prompts that encourage engagement with intervention contents. However, engagement with these interventions remains suboptimal. A recent organizing framework conceptualizes digital interventions as a sequence of stimuli/tasks, underscoring the importance of measuring engagement with each stimulus/task separately. We applied this framework to a tobacco cessation intervention study that used an app to deliver prompts for practicing self-regulatory strategies. We found that engagement with certain stimuli/tasks (e.g., messages describing a low-effort strategy) declined over time, whereas engagement with others (e.g., messages recommending a more effortful strategy) remained stable. Initiating a brief in-app survey prior to prompting increased the likelihood of engaging with the intervention prompt, but not with subsequent messages or recommended strategies. These findings support conceptualizing engagement as a dynamic, multistage process and offer practical insights for optimizing engagement with digital interventions.

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Publication Details

Journal
npj Digital Medicine
Published
2026-06-08
DOI
https://doi.org/10.1038/s41746-026-02840-x
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation

Qinggang Yu, Dusti R. Jones, Carolyn Yoon, Cho Y. Lam et al.
npj Digital Medicine
Behavioral Health and Interventions
article

Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation

Qinggang Yu, Dusti R. Jones, Carolyn Yoon, Cho Y. Lam, Lindsey N. Potter, Jamie Yap, David W. Wetter, John J. Dziak, Inbal Nahum-Shani
article en

Abstract

Mobile apps are commonly used to deliver digital interventions, typically through prompts that encourage engagement with intervention contents. However, engagement with these interventions remains suboptimal. A recent organizing framework conceptualizes digital interventions as a sequence of stimuli/tasks, underscoring the importance of measuring engagement with each stimulus/task separately. We applied this framework to a tobacco cessation intervention study that used an app to deliver prompts for practicing self-regulatory strategies. We found that engagement with certain stimuli/tasks (e.g., messages describing a low-effort strategy) declined over time, whereas engagement with others (e.g., messages recommending a more effortful strategy) remained stable. Initiating a brief in-app survey prior to prompting increased the likelihood of engaging with the intervention prompt, but not with subsequent messages or recommended strategies. These findings support conceptualizing engagement as a dynamic, multistage process and offer practical insights for optimizing engagement with digital interventions.

npj Digital Medicine
Vanderbilt University (US), University of Utah (US), University of Michigan (US), Huntsman Cancer Institute (US), Ross School (US), Utah Department of Health (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 6%
Behavioral Health and Interventions
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Antecedents and consequences of different indicators of engagement with a digital intervention for tobacco cessation — Qinggang Yu, Dusti R. Jones, et al. · npj Digital Medicine (2026) | TGRS Research Map | TGRS