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

mHealth for Wellness, Behavior Change and Prevention (2743) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459) Registered Report (518) Mobile Health (mhealth) (2765) Public (e)Health, Digital Epidemiology and Public Health Informatics (641) Behavior Change (653) Alcohol Abuse, Alcoholism Prevention and Recovery (284) Prevention and Health Promotion (895)

Published on in Vol 11 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38342, first published .
How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial

How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial

How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial

Authors of this article:

Lauren Bell1, 2 Author Orcid Image ;   Claire Garnett3 Author Orcid Image ;   Yihan Bao4 Author Orcid Image ;   Zhaoxi Cheng5 Author Orcid Image ;   Tianchen Qian6 Author Orcid Image ;   Olga Perski3 Author Orcid Image ;   Henry W W Potts7 Author Orcid Image ;   Elizabeth Williamson1 Author Orcid Image
Article Authors Cited by (3) Tweetations (13) Metrics

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  2. Liu X, Qian T, Bell L, Chakraborty B. Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes. Biometrics 2024;80(2) View
  3. Prentice C, Peven K, Zhaunova L, Nayak V, Radovic T, Klepchukova A, Potts H, Ponzo S. Methods for evaluating the efficacy and effectiveness of direct-to-consumer mobile health apps: a scoping review. BMC Digital Health 2024;2(1) View