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

Telemedicine for Diabetes (78) Glucose Tracking and Self-Monitoring of Blood Glucose (141) Telehealth and Telemonitoring (1381)

Published on in Vol 6, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25574, first published .
Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial

Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial

Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial

Authors of this article:

Daniel J Amante 1 Author Orcid Image ;   David M Harlan 2 Author Orcid Image ;   Stephenie C Lemon 1 Author Orcid Image ;   David D McManus 3 Author Orcid Image ;   Oladapo O Olaitan 1 Author Orcid Image ;   Sherry L Pagoto 4 Author Orcid Image ;   Ben S Gerber 5 Author Orcid Image ;   Michael J Thompson 2 Author Orcid Image
Article Authors Cited by (14) Tweetations (16) Metrics

Journals

  1. Fundoiano-Hershcovitz Y, Feniger E, Dar S, Ritholz M, Schorr A, Goldstein P. Digital Therapeutics for Type 2 Diabetes: Incorporating Coaching Support and Validating Digital Monitoring. Journal of Diabetes Science and Technology 2021;15(5):1188 View
  2. Crossen S, Romero C, Reggiardo A, Michel J, Glaser N. Feasibility and Impact of Remote Glucose Monitoring Among Patients With Newly Diagnosed Type 1 Diabetes: Single-Center Pilot Study. JMIR Diabetes 2022;7(1):e33639 View
  3. Kamath S, Kappaganthu K, Painter S, Madan A. Improving Outcomes Through Personalized Recommendations in a Remote Diabetes Monitoring Program: Observational Study. JMIR Formative Research 2022;6(3):e33329 View
  4. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
  5. Zhang A, Wang J, Wan X, Zhang Z, Zhao S, Guo Z, Wang C. A Meta-Analysis of the Effectiveness of Telemedicine in Glycemic Management among Patients with Type 2 Diabetes in Primary Care. International Journal of Environmental Research and Public Health 2022;19(7):4173 View
  6. Fundoiano-Hershcovitz ‪, Bacher D, Ritholz M, Horwitz D, Manejwala O, Goldstein P. Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study. Journal of Medical Internet Research 2022;24(2):e32923 View
  7. Martens T. Continuous glucose monitoring in primary care – are we there?. Current Opinion in Endocrinology, Diabetes & Obesity 2022;29(1):10 View
  8. Xie Q, Hu X, Wang Y, Peng J, Cheng L. Exploration of the health needs of patients with poorly controlled type 2 diabetes using a user-centred co-production approach in the area of mHealth: an exploratory sequential mixed-method protocol. BMJ Open 2022;12(12):e063814 View
  9. Grady M, Cameron H, Holt E. Sustained Improvements in Readings in-Range Using an Advanced Bluetooth® Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence from more than 55,000 People with Diabetes. Diabetes Therapy 2023;14(6):1023 View
  10. Cai J, Xu H, Jiang S, Sung J, Sawhney R, Broadley S, Sun J. Effectiveness of telemonitoring intervention on glycaemic control in patients with type 2 diabetes mellitus: A systematic review and meta-analysis. Diabetes Research and Clinical Practice 2023;201:110727 View
  11. Almarzooqi I, Zakaria H, Aleabova S, Caccelli M, Ozkan C, Skaf J, Bangayan J, Catapang D, Jaafar Z, Hashemi A, Said Y. Effectiveness of a hybrid technology enabled care model as measured by ICHOM standard set on established and managed type 2 diabetes already using medications: A RWE retrospective study. Metabolism Open 2023;20:100262 View
  12. Zyukov O, Оshyvalova О, Biloshytska O. MATHEMATICAL MODEL FOR PREDICTING FASTING BLOOD GLUCOSE LEVEL IN DIABETES MELLITUS PATIENTS. Wiadomości Lekarskie 2023;76(10):2295 View
  13. Benmessaoud C, Pfisterer K, De Leon A, Saragadam A, El-Dassouki N, Young K, Lohani R, Xiong T, Pham Q. A dyadic digital health module for chronic disease shared care: Design thinking (Preprint). JMIR Human Factors 2022 View

Books/Policy Documents

  1. Hense C, Schelper M. Hybrid Healthcare. View