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

Mobile Health (mhealth) (2238) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1121) Glucose Tracking and Self-Monitoring of Blood Glucose (137) Focus Groups and Qualitative Research with Users (641) Diabetes Self-Management (406) Apps, Mobile, Wearables for Diabetes (258) Usability of Apps and User Perceptions of mHealth (770) Patient Experiences with Diabetes Technology (24) mHealth for Telemedicine and Homecare (282) Participatory Medicine & E-Patients (638) Telemedicine for Diabetes (76) mHealth for Treatment Adherence (345) Text-messaging (SMS, WeChat etc)-Based Interventions (571)

Published on in Vol 23 , No 6 (2021) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25958, first published .
Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study

Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study

Preferences for mHealth Technology and Text Messaging Communication in Patients With Type 2 Diabetes: Qualitative Interview Study

Authors of this article:

Julie C Lauffenburger 1 Author Orcid Image ;   Renee A Barlev 1 Author Orcid Image ;   Ellen S Sears 1 Author Orcid Image ;   Punam A Keller 2 Author Orcid Image ;   Marie E McDonnell 1 Author Orcid Image ;   Elad Yom-Tov 3 Author Orcid Image ;   Constance P Fontanet 1 Author Orcid Image ;   Kaitlin Hanken 1 Author Orcid Image ;   Nancy Haff 1 Author Orcid Image ;   Niteesh K Choudhry 1 Author Orcid Image
Article Authors Cited by (5) Tweetations (8) Metrics

Journals

  1. Kwan Y, Ong Z, Choo D, Phang J, Yoon S, Low L. A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence 2023;Volume 17:1 View
  2. Zamanillo-Campos R, Serrano-Ripoll M, Taltavull-Aparicio J, Gervilla-García E, Ripoll J, Fiol-deRoque M, Boylan A, Ricci-Cabello I. Patients’ Views on the Design of DiabeText, a New mHealth Intervention to Improve Adherence to Oral Antidiabetes Medication in Spain: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(3):1902 View
  3. Peacock E, Craig L, Krousel-Wood M. Electronic health strategies to improve medication adherence in patients with cardiometabolic disease: current status and future directions. Current Opinion in Cardiology 2022;37(4):307 View
  4. Lauffenburger J, Yom-Tov E, Keller P, McDonnell M, Bessette L, Fontanet C, Sears E, Kim E, Hanken K, Buckley J, Barlev R, Haff N, Choudhry N. REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial. BMJ Open 2021;11(12):e052091 View
  5. Brew-Sam N, Desborough J, Parkinson A, Murugappan K, Daskalaki E, Brown E, Ebbeck H, Pedley L, Hannon K, Brown K, Pedley E, Ebbeck G, Tricoli A, Suominen H, Nolan C, Phillips C, Petry C. A user preference analysis of commercial breath ketone sensors to inform the development of portable breath ketone sensors for diabetes management in young people. PLOS ONE 2022;17(7):e0269925 View