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

Mobile Health (mhealth) (3479) Text-messaging (SMS, WeChat etc)-Based Interventions (755) Digital Biomarkers and Digital Phenotyping (288) Patient Engagement and Empowerment (108) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (642)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72875, first published .
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

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 Tweetations Metrics

Klea Profka   1, 2, 3, 4 , BA ;   Agnes Wang   5 , MS ;   Emily Schriver   6, 7 , MS ;   Ashley Batugo   6 , BS ;   Anna U Morgan   1, 2 , MSc, MD ;   Danielle Mowery   6, 8 * , PhD ;   Eric Bressman   1, 2, 3 * , MSHP, MD

1 Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States

3 Center for Health Incentives and Behavioral Economics, University of Pennsylvania Health System, Philadelphia, PA, United States

4 Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, United States

5 School of Engineering & Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States

6 Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States

7 Penn Data and Analytics Center of Excellence, Penn Medicine, Philadelphia, PA, United States

8 Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

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