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

Apps, Mobile, Wearables for Diabetes (298) Focus Groups and Qualitative Research for Human Factors Research (851) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Sensors for Glucose Monitoring and Diabetes Management (33)

Published on in Vol 4, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14032, first published .
Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study

Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study

Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study

Authors of this article:

Marilyn D Ritholz1, 2 Author Orcid Image ;   Owen Henn1 Author Orcid Image ;   Astrid Atakov Castillo1 Author Orcid Image ;   Howard Wolpert1, 3 Author Orcid Image ;   Stephanie Edwards1 Author Orcid Image ;   Lawrence Fisher4 Author Orcid Image ;   Elena Toschi1, 3 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

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  1. Kubiak T, Priesterroth L, Barnard‐Kelly K. Psychosocial aspects of diabetes technology. Diabetic Medicine 2020;37(3):448 View
  2. White N, Knezevich E. Flash Glucose Monitoring Technology Impact on Diabetes Self-Care Behavior. American Journal of Lifestyle Medicine 2020;14(2):130 View
  3. Mehmood S, Ahmad I, Arif H, Ammara U, Majeed A. Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis. Applied System Innovation 2020;3(3):31 View
  4. Hjelm K, Hedlund L. Internet-of-Things (IoT) in healthcare and social services – experiences of a sensor system for notifications of deviant behaviours in the home from the users’ perspective. Health Informatics Journal 2022;28(1) View
  5. Stephen D, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1) View
  6. Pan J, Dong H, Bryan-Kinns N. Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods Investigation. JMIR Aging 2021;4(4):e30420 View
  7. Anugu P, Ansari M, Min Y, Benjamin E, Murabito J, Winters K, Turner E, Correa A. Digital Connectedness in the Jackson Heart Study: Cross-sectional Study. Journal of Medical Internet Research 2022;24(11):e37501 View
  8. Jansky B, Machleid F, Wild V. Mobile Gesundheitstechnologien, soziale Gerechtigkeit und populationsbezogene Vulnerabilitäten. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2023;66(2):168 View
  9. Natale P, Chen S, Chow C, Cheung N, Martinez‐Martin D, Caillaud C, Scholes‐Robertson N, Kelly A, Craig J, Strippoli G, Jaure A. Patient experiences of continuous glucose monitoring and sensor‐augmented insulin pump therapy for diabetes: A systematic review of qualitative studies. Journal of Diabetes 2023;15(12):1048 View