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

Non-randomized Protocols and Methods (ehealth) (568) mHealth in a Clinical Setting (615)

Published on in Vol 9, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16657, first published .
Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study

Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study

Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study

Authors of this article:

Meghan Bradway1, 2 Author Orcid Image ;   Alain Giordanengo1, 3 Author Orcid Image ;   Ragnar Joakimsen2, 4 Author Orcid Image ;   Anne Helen Hansen5, 6 Author Orcid Image ;   Astrid Grøttland1 Author Orcid Image ;   Gunnar Hartvigsen3, 7 Author Orcid Image ;   Pietro Randine1, 3 Author Orcid Image ;   Eirik Årsand1, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Journals

  1. Stampe K, Kishik S, Müller S. Mobile Health in Chronic Disease Management and Patient Empowerment: Exploratory Qualitative Investigation Into Patient-Physician Consultations. Journal of Medical Internet Research 2021;23(6):e26991 View
  2. Dullabh P, Heaney-Huls K, Lobach D, Hovey L, Sandberg S, Desai P, Lomotan E, Swiger J, Harrison M, Dymek C, Sittig D, Boxwala A. The technical landscape for patient-centered CDS: progress, gaps, and challenges. Journal of the American Medical Informatics Association 2022;29(6):1101 View
  3. Mannoubi C, Kairy D, Menezes K, Desroches S, Layani G, Vachon B. The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review. JMIR Medical Informatics 2024;12:e46699 View