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Citing this Article

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Published on 11.07.17 in Vol 19, No 7 (2017): July

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

Works citing "Use of a Connected Glucose Meter and Certified Diabetes Educator Coaching to Decrease the Likelihood of Abnormal Blood Glucose Excursions: The Livongo for Diabetes Program"

Janelle Downing, Jenna Bollyky, Jennifer Schneider

J Med Internet Res 2017 (Jul 11); 19(7):e234 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6659):

(note that this is only a small subset of citations)

  1. Lal RA, Buckingham B, Maahs DM. Advances in Care for Insulin-Requiring Patients Without Closed Loop. Diabetes Technology & Therapeutics 2018;20(S2):S2-85
    CrossRef
  2. Wang J, Chu C, Li C, Hayes L, Siminerio L. Diabetes Educators’ Insights Regarding Connecting Mobile Phone– and Wearable Tracker–Collected Self-Monitoring Information to a Nationally-Used Electronic Health Record System for Diabetes Education: Descriptive Qualitative Study. JMIR mHealth and uHealth 2018;6(7):e10206
    CrossRef
  3. Meinert E, Van Velthoven M, Brindley D, Alturkistani A, Foley K, Rees S, Wells G, de Pennington N. The Internet of Things in Health Care in Oxford: Protocol for Proof-of-Concept Projects. JMIR Research Protocols 2018;7(12):e12077
    CrossRef
  4. Wang J, Cai C, Padhye N, Orlander P, Zare M. A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial. JMIR mHealth and uHealth 2018;6(4):e92
    CrossRef
  5. Garg SK, Hirsch IB. Self-Monitoring of Blood Glucose. Diabetes Technology & Therapeutics 2019;21(S1):S-4
    CrossRef
  6. Qu F, Yang Q, Wang B, You J. Aggregation-induced emission of copper nanoclusters triggered by synergistic effect of dual metal ions and the application in the detection of H2O2 and related biomolecules. Talanta 2020;207:120289
    CrossRef
  7. Dixon RF, Zisser H, Layne JE, Barleen NA, Miller DP, Moloney DP, Majithia AR, Gabbay RA, Riff J. A Virtual Type 2 Diabetes Clinic Using Continuous Glucose Monitoring and Endocrinology Visits. Journal of Diabetes Science and Technology 2020;14(5):908
    CrossRef
  8. . Improving patient self-care using diabetes technologies. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881882421
    CrossRef
  9. Bollyky JB, Melton ST, Xu T, Painter SL, Knox B. The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study. JMIR Diabetes 2019;4(4):e14799
    CrossRef
  10. Marcotte LM, Dugdale DC. Prevention as a Population Health Strategy. Primary Care: Clinics in Office Practice 2019;46(4):493
    CrossRef
  11. Silbert R, Salcido-Montenegro A, Rodriguez-Gutierrez R, Katabi A, McCoy RG. Hypoglycemia Among Patients with Type 2 Diabetes: Epidemiology, Risk Factors, and Prevention Strategies. Current Diabetes Reports 2018;18(8)
    CrossRef
  12. Kaufman N, Ferrin C, Sugrue D. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2019;21(S1):S-79
    CrossRef
  13. Bora A, Balasubramanian S, Babenko B, Virmani S, Venugopalan S, Mitani A, de Oliveira Marinho G, Cuadros J, Ruamviboonsuk P, Corrado GS, Peng L, Webster DR, Varadarajan AV, Hammel N, Liu Y, Bavishi P. Predicting the risk of developing diabetic retinopathy using deep learning. The Lancet Digital Health 2021;3(1):e10
    CrossRef
  14. Amante DJ, Harlan DM, Lemon SC, McManus DD, Olaitan OO, Pagoto SL, Gerber BS, Thompson MJ. Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial. JMIR Diabetes 2021;6(1):e25574
    CrossRef
  15. Lindemer E, Jouni M, Nikolaev N, Reidy P, Mattie H, Rogers JK, Giangreco L, Sherman M, Bartels M, Panch T. A pragmatic methodology for the evaluation of digital care management in the context of multimorbidity. Journal of Medical Economics 2021;24(1):373
    CrossRef
  16. Fundoiano-Hershcovitz Y, Hirsch A, Dar S, Feniger E, Goldstein P. Role of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study. JMIR Diabetes 2021;6(1):e24030
    CrossRef
  17. Yu JS, Xu T, James RA, Lu W, Hoffman JE. Relationship Between Diabetes, Stress, and Self-Management to Inform Chronic Disease Product Development: Retrospective Cross-Sectional Study. JMIR Diabetes 2020;5(4):e20888
    CrossRef
  18. Boman N, Fernandez-Luque L, Koledova E, Kause M, Lapatto R. Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE)—large electronically collected datasets, surveillance studies and individual patients’ cases. BMC Medical Informatics and Decision Making 2021;21(1)
    CrossRef
  19. Shah NA, Levy CJ. Emerging technologies for the management of type 2 diabetes mellitus. Journal of Diabetes 2021;13(9):713
    CrossRef
  20. Yu J, Chiu C, Wang Y, Dzubur E, Lu W, Hoffman J. A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis. Journal of Medical Internet Research 2021;23(8):e27709
    CrossRef
  21. Seixas AA, Olaye IM, Wall SP, Dunn P. Optimizing Healthcare Through Digital Health and Wellness Solutions to Meet the Needs of Patients With Chronic Disease During the COVID-19 Era. Frontiers in Public Health 2021;9
    CrossRef
  22. Crossen SS, Romero CC, Lewis C, Glaser NS. Remote glucose monitoring is feasible for patients and providers using a commercially available population health platform. Frontiers in Endocrinology 2023;14
    CrossRef
  23. Usoh CO, Kilen K, Keyes C, Johnson CP, Aloi JA. Telehealth Technologies and Their Benefits to People With Diabetes. Diabetes Spectrum 2022;35(1):8
    CrossRef
  24. de Oliveira CM, Bolognese LB, Balcells M, Aragon DC, Zagury RL, Nobrega C, Liu C, Dardari D. A data-driven approach to manage type 2 diabetes mellitus through digital health: The Klivo Intervention Program protocol (KIPDM). PLOS ONE 2023;18(2):e0281844
    CrossRef
  25. Wang Y, Dzubur E, James R, Fakhouri T, Brunning S, Painter S, Madan A, Shah BR. Association of physical activity on blood glucose in individuals with type 2 diabetes. Translational Behavioral Medicine 2022;12(3):448
    CrossRef
  26. Li H, Dong L, Zhou W, Wu H, Zhang R, Li Y, Yu C, Wei W. Development and validation of medical record-based logistic regression and machine learning models to diagnose diabetic retinopathy. Graefe's Archive for Clinical and Experimental Ophthalmology 2023;261(3):681
    CrossRef
  27. Lee U, Jung G, Ma E, Kim JS, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42
    CrossRef
  28. Grady M, Cameron H, Bhatiker A, Holt E, Schnell O. Real-World Evidence of Improved Glycemic Control in People with Diabetes Using a Bluetooth-Connected Blood Glucose Meter with a Mobile Diabetes Management App. Diabetes Technology & Therapeutics 2022;24(10):770
    CrossRef
  29. Sabharwal M, Misra A, Ghosh A, Chopra G. Efficacy of Digitally Supported and Real-Time Self-Monitoring of Blood Glucose-Driven Counseling in Patients with Type 2 Diabetes Mellitus: A Real-World, Retrospective Study in North India. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:23
    CrossRef
  30. Imrisek SD, Lee M, Goldner D, Nagra H, Lavaysse LM, Hoy-Rosas J, Dachis J, Sears LE. Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study. JMIR Diabetes 2022;7(2):e34624
    CrossRef
  31. Majithia AR, Erani DM, Kusiak CM, Layne JE, Lee AA, Colangelo FR, Romanelli RJ, Robertson S, Brown SM, Dixon RF, Zisser H. Medication Optimization Among People With Type 2 Diabetes Participating in a Continuous Glucose Monitoring–Driven Virtual Care Program: Prospective Study. JMIR Formative Research 2022;6(4):e31629
    CrossRef
  32. Vojtila L, Sherifali D, Dragonetti R, Ashfaq I, Veldhuizen S, Naeem F, Agarwal SM, Melamed OC, Crawford A, Gerretsen P, Hahn M, Hill S, Kidd S, Mulsant B, Serhal E, Tackaberry-Giddens L, Whitmore C, Marttila J, Tang F, Ramdass S, Lourido G, Sockalingam S, Selby P. Technology-Enabled Collaborative Care for Concurrent Diabetes and Distress Management During the COVID-19 Pandemic: Protocol for a Mixed Methods Feasibility Study. JMIR Research Protocols 2023;12:e39724
    CrossRef
  33. Dai L, Sheng B, Chen T, Wu Q, Liu R, Cai C, Wu L, Yang D, Hamzah H, Liu Y, Wang X, Guan Z, Yu S, Li T, Tang Z, Ran A, Che H, Chen H, Zheng Y, Shu J, Huang S, Wu C, Lin S, Liu D, Li J, Wang Z, Meng Z, Shen J, Hou X, Deng C, Ruan L, Lu F, Chee M, Quek TC, Srinivasan R, Raman R, Sun X, Wang YX, Wu J, Jin H, Dai R, Shen D, Yang X, Guo M, Zhang C, Cheung CY, Tan GSW, Tham Y, Cheng C, Li H, Wong TY, Jia W. A deep learning system for predicting time to progression of diabetic retinopathy. Nature Medicine 2024;30(2):584
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6659):

  1. Hofer IS, Figura M. Modern Monitoring in Anesthesiology and Perioperative Care. 2020. Chapter 17:164
    CrossRef