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

Research Letter (254) Email Communication, Web-Based Communication, Secure Messaging (241) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1040) Diabetes Technology Around the World (44) Telemedicine for Diabetes (153) Diabetes Health Services and System Innovations (170)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79413, first published .
Doctor in white coat typing on keyboard at desk with computer and stethoscope

Use of and Medical Decision-Making in Portal Messages Among Patients With Type 2 Diabetes: Mixed Methods Study

Use of and Medical Decision-Making in Portal Messages Among Patients With Type 2 Diabetes: Mixed Methods Study

Authors of this article:

Terrence Liu1, 2, 3 Author Orcid Image ;   Eric A Waselewski1 Author Orcid Image ;   Ailish Dougherty4 Author Orcid Image ;   James D Lee1, 2 Author Orcid Image ;   Nina E Hill1 Author Orcid Image ;   Brianna A Marzolf5 Author Orcid Image ;   Tammy Chang6 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. DeJonckheere M, Chuisano S, Waselewski M, Sonneville K, Chang T. Team-Based Analysis of Large-Scale Qualitative Data: Tutorial Using a Nationwide SMS Text Messaging Poll of Youth. Journal of Medical Internet Research 2026;28:e72526 View
  2. Kahkoska A, Kelley C, Lourduraj S, Gairola R, Rydberg M, Young L, Niznik J. Qualitative Analysis of Patient Portal Messages From Older Adults With Type 2 Diabetes. Diabetes Obesity and Cardiometabolic CARE 2026;1(3):374 View
  3. Alpert J, Amin T, Ali H, Sainatham C, Javed M, Markham M, Bylund C. Evaluation of a web-based educational tool for patients with cancer to improve digital communication quality: A pre-post study of the SEND application. Patient Education and Counseling 2026;150:109742 View
  4. Al-Sayed A, Khalifa O. Predictive Analytics Model for Forecasting Digital Patient Portal Message Volume Using Disease Seasonality, Appointment Density, Medication Changes, Prior Communication Behavior, and Clinic Workload Trends. Journal of Health Informatics and Digital Systems 2026;6(1) View