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

New Methods (750) Telehealth and Telemonitoring (1327) Digital Biomarkers and Digital Phenotyping (150) Text-messaging (SMS, WeChat etc)-Based Interventions (571) Hypertension Prevention and Treatment (177)

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

Journals

  1. Spieker A, Nelson L, Rothman R, Roumie C, Kripalani S, Coco J, Fabbri D, Levy P, Collins S, Wang T, Liu D, McNaughton C. Feasibility and Short‐Term Effects of a Multi‐Component Emergency Department Blood Pressure Intervention: A Pilot Randomized Trial. Journal of the American Heart Association 2022;11(5) View
  2. Davoudi A, Lee N, Luong T, Delaney T, Asch E, Chaiyachati K, Mowery D. Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study. Journal of Medical Internet Research 2022;24(6):e36151 View
  3. Hwang S, Urbanowicz R, Lynch S, Vernon T, Bresz K, Giraldo C, Kennedy E, Leabhart M, Bleacher T, Ripchinski M, Mowery D, Oyer R. Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors. JCO Clinical Cancer Informatics 2023;(7) View
  4. Hare A, Patel M, Volpp K, Adusumalli S. The Role of Behavioral Economics in Improving Cardiovascular Health Behaviors and Outcomes. Current Cardiology Reports 2021;23(11) View