This paper is in the following e-collection/theme issue:
Non-randomized Protocols and Methods (ehealth) (708) Diabetes Self-Management (613) Diabetes Education and Elearning for Patients (163) New Methods (1166) Wearable Devices and Sensors (1186) Digital Biomarkers and Digital Phenotyping (310) mHealth for Data Collection and Research (1232) Diabetes Education and Elearning for Patients (163) Diabetes Self-Management (613) Chronic Disease Self-Management in Childhood and Adolescence (194) Digital Biomarkers and Digital Phenotyping (310) Wearable Devices and Sensors (1186) mHealth for Data Collection and Research (1232) New Methods (1166) Diabetes Education and Elearning for Patients (163) Diabetes Self-Management (613) Sensors for Glucose Monitoring and Diabetes Management (51) Chronic Disease Self-Management in Childhood and Adolescence (194) Wearable Devices and Sensors (1186) mHealth for Data Collection and Research (1232) New Methods (1166) Diabetes Education and Elearning for Patients (163) Diabetes Self-Management (613) Sensors for Glucose Monitoring and Diabetes Management (51) Chronic Disease Self-Management in Childhood and Adolescence (194) Wearable Devices and Sensors (1186) mHealth for Data Collection and Research (1232) Diabetes Education and Elearning for Patients (163) Diabetes Self-Management (613) Sensors for Glucose Monitoring and Diabetes Management (51) Chronic Disease Self-Management in Childhood and Adolescence (194) Text-messaging (SMS, WeChat etc)-Based Interventions (771) Wearable Devices and Sensors (1186) mHealth for Data Collection and Research (1232)Published on in Vol 15 (2026)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/83218, first published
.

Real-Time Type 1 Diabetes Self-Management Decision-Making in Adolescents: Protocol for a Longitudinal Mixed Methods Study Using Text Messaging and Continuous Glucose Monitoring
Real-Time Type 1 Diabetes Self-Management Decision-Making in Adolescents: Protocol for a Longitudinal Mixed Methods Study Using Text Messaging and Continuous Glucose Monitoring
Authors of this article:
Melissa DeJonckheere1, 2
;
Samantha A Chuisano2
;
Juniar Lucien2
;
Fouzaan Amjad2
;
Oorvi Duvvuri2
;
Hasan Khan2
;
Maryam Khan2
;
Rafee Mirza2
;
Maya Joy Ollivierre2
;
Timothy Guetterman2
;
Yu Kuei Lin3
;
Lorraine R Buis2, 4
;
James E Aikens2
;
Caroline Richardson2
;
Joyce M Lee5, 6, 7
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