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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (783) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1701) mHealth for Data Collection and Research (1654) Recruitment of Research Participants (457)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73972, first published .
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Smartphone App–Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial

Smartphone App–Based Survey Deployment Patterns and Longitudinal Response Rate: Randomized Controlled Trial

Authors of this article:

Yuankai Zhang1 Author Orcid Image ;   Jian Rong2 Author Orcid Image ;   Xuzhi Wang1 Author Orcid Image ;   Eric Schramm3 Author Orcid Image ;   Chathurangi H Pathiravasan1 Author Orcid Image ;   Belinda Borrelli4 Author Orcid Image ;   Jamie M Faro5 Author Orcid Image ;   Emelia J Benjamin6, 7, 8 Author Orcid Image ;   Ludovic Trinquart9, 10 Author Orcid Image ;   Chunyu Liu1 Author Orcid Image ;   Joanne M Murabito6, 11 Author Orcid Image
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Journals

  1. Yeung S, Tong A, Zhao H, Mak W. Using Ultra-Abridged Individual Difference Scales for Personalization in Digital Mental Health to Improve Uptake, Engagement, and Experiences: Three-Tiered Decision Framework for Scale Shortening. Journal of Medical Internet Research 2026;28:e80662 View