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

Diabetes Self-Management (464) Web-based and Mobile Health Interventions (3128) Mobile Health (mhealth) (2777) Glucose Tracking and Self-Monitoring of Blood Glucose (152) Apps, Mobile, Wearables for Diabetes (288) Design and Usability of Consumer Health Tech and Home Monitoring Devices (192) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47638, first published .
Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study

Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study

Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study

Authors of this article:

Abhimanyu B Kumbara1 Author Orcid Image ;   Anand K Iyer1 Author Orcid Image ;   Courtney R Green2 Author Orcid Image ;   Lauren H Jepson2 Author Orcid Image ;   Keri Leone2 Author Orcid Image ;   Jennifer E Layne2 Author Orcid Image ;   Mansur Shomali1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

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  2. Sheng B, Pushpanathan K, Guan Z, Lim Q, Lim Z, Yew S, Goh J, Bee Y, Sabanayagam C, Sevdalis N, Lim C, Lim C, Shaw J, Jia W, Ekinci E, Simó R, Lim L, Li H, Tham Y. Artificial intelligence for diabetes care: current and future prospects. The Lancet Diabetes & Endocrinology 2024;12(8):569 View