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

Mobile Health (mhealth) (5168) Text-messaging (SMS, WeChat etc)-Based Interventions (925) Digital Biomarkers and Digital Phenotyping (436) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (807) Patient Engagement and Empowerment (170)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72875, first published .
Elderly woman with short blonde hair smiling while looking at her smartphone in a living room

Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

Authors of this article:

Klea Profka1, 2, 3, 4 Author Orcid Image ;   Agnes Wang5 Author Orcid Image ;   Emily Schriver6, 7 Author Orcid Image ;   Ashley Batugo6 Author Orcid Image ;   Anna U Morgan1, 2 Author Orcid Image ;   Danielle Mowery6, 8 Author Orcid Image ;   Eric Bressman1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Seow J, Ko S, Low S, Shorey S. Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study. Journal of Medical Internet Research 2026;28:e83530 View
  2. Mueller S, Kraus C, Duckro A, Steiner C, James J, Steiner J. Automated Health Care Messages and Unexpected Patient Responses. JAMA Network Open 2026;9(6):e2617740 View