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

New Methods (688) Telehealth and Telemonitoring (1224) Digital Biomarkers and Digital Phenotyping (145) Text-messaging (SMS, WeChat etc)-Based Interventions (546) Hypertension Prevention and Treatment (167)

Published on in Vol 22 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22493, first published .
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study

Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study

Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study

Authors of this article:

Anahita Davoudi 1 Author Orcid Image ;   Natalie S Lee 2, 3, 4 Author Orcid Image ;   Corey Chivers 5 Author Orcid Image ;   Timothy Delaney 6 Author Orcid Image ;   Elizabeth L Asch 3 Author Orcid Image ;   Catherine Reitz 6, 7 Author Orcid Image ;   Shivan J Mehta 6, 7 Author Orcid Image ;   Krisda H Chaiyachati 3, 6, 7 Author Orcid Image ;   Danielle L Mowery 1, 8 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Anahita Davoudi   1 * , MS, PhD ;   Natalie S Lee   2, 3, 4 * , MPH, MSHP, MD ;   Corey Chivers   5 , PhD ;   Timothy Delaney   6 , BA ;   Elizabeth L Asch   3 , BS ;   Catherine Reitz   6, 7 , MPH ;   Shivan J Mehta   6, 7 , MBA, MD ;   Krisda H Chaiyachati   3, 6, 7 * , MPH, MSHP, MD ;   Danielle L Mowery   1, 8 * , MS, PhD

1 Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA, US

2 National Clinician Scholars Program, University of Pennsylvania, Philadelphia, PA, US

3 Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, US

4 Corporal Michael J Crescenz Veterans Affairs Medical Center, Philadelphia, PA, US

5 Penn Medicine Predictive Healthcare, University of Pennsylvania Health System, Philadelphia, PA, US

6 Center for Healthcare Innovation, University of Pennsylvania, Philadelphia, PA, US

7 Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US

8 Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, US

*these authors contributed equally

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