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Citing this Article

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Published on 07.08.17 in Vol 2, No 2 (2017): Jul-Dec

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

Works citing "Diabetes App-Related Text Messages From Health Care Professionals in Conjunction With a New Wireless Glucose Meter With a Color Range Indicator Improves Glycemic Control in Patients With Type 1 and Type 2 Diabetes: Randomized Controlled Trial"

According to Crossref, the following articles are citing this article (DOI 10.2196/diabetes.7454):

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

  1. Grady M, Katz LB, Levy BL. Use of Blood Glucose Meters Featuring Color Range Indicators Improves Glycemic Control in Patients With Diabetes in Comparison to Blood Glucose Meters Without Color (ACCENTS Study). Journal of Diabetes Science and Technology 2018;12(6):1211
    CrossRef
  2. Fritzen K, Basinska K, Rubio-Almanza M, Nicolucci A, Kennon B, Vergès B, Zakrzewska K, Schnell O. Pan-European Economic Analysis to Identify Cost Savings for the Health Care Systems as a Result of Integrating Glucose Monitoring Based Telemedical Approaches Into Diabetes Management. Journal of Diabetes Science and Technology 2019;13(6):1112
    CrossRef
  3. Grady M, Venugopal U, Robert K, Hurrell G, Schnell O. Health Care Professionals’ Clinical Perspectives and Acceptance of a Blood Glucose Meter and Mobile App Featuring a Dynamic Color Range Indicator and Blood Sugar Mentor: Online Evaluation in Seven Countries. JMIR Human Factors 2019;6(3):e13847
    CrossRef
  4. Tavakoli R, Alipouran M, Zarei F. Health Belief Model-Based Education through Telegram Instant Messaging Services on Diabetic Self-Care. Health Education and Health Promotion 2018;6(3):91
    CrossRef
  5. Fritzen K, Basinska K, Stautner C, Braun KF, Rubio-Almanza M, Nicolucci A, Kennon B, Vergès B, Hosny Y, Schnell O. Budget Impact of Improved Diabetes Management by Utilization of Glucose Meters With a Color-Range Indicator—Comparison of Five European Healthcare Systems. Journal of Diabetes Science and Technology 2020;14(2):262
    CrossRef
  6. Koot D, Goh PSC, Lim RSM, Tian Y, Yau TY, Tan NC, Finkelstein EA. A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study. JMIR mHealth and uHealth 2019;7(5):e12965
    CrossRef
  7. Robertson DA, Chudleigh RA, Gwynn SD, Jairam C, Kansagra K, Kanumilli N, Lester-George A, McMurray C, Warren TC. Establishing Expert, Multi-Disciplinary, Peer-Reviewed Consensus to Lead a Paradigm Shift in Optimal Blood Glucose Management. Diabetes Therapy 2019;10(3):901
    CrossRef
  8. Seo D, Park YR, Lee Y, Kim JY, Park J, Lee J. The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study. Journal of Medical Internet Research 2020;22(6):e15372
    CrossRef
  9. Greenwood DA, Grady M. Healthcare Professional Perceptions of Blood Glucose Meter Features That Support Achievement of Self-Management Goals Recommended by Clinical Practice Guidelines. Journal of Diabetes Science and Technology 2021;15(5):1142
    CrossRef
  10. Zhu T, Li K, Herrero P, Georgiou P. Deep Learning for Diabetes: A Systematic Review. IEEE Journal of Biomedical and Health Informatics 2021;25(7):2744
    CrossRef
  11. Cucciniello M, Petracca F, Ciani O, Tarricone R. Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials. npj Digital Medicine 2021;4(1)
    CrossRef
  12. Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64
    CrossRef
  13. Katz LB, Aparicio M, Cameron H, Ceppa F. Use of a Meter With Color-Range Indicators and a Mobile Diabetes Management App Improved Glycemic Control and Patient Satisfaction in an Underserved Hispanic Population: “Tu Salud”—A Randomized Controlled Partial Cross-Over Clinical Study. Diabetes Spectrum 2022;35(1):86
    CrossRef
  14. Lee M, Kang D, Joi Y, Yoon J, Kim Y, Kim J, Kang M, Oh D, Shin S, Cho J, De Silva D. Graphical user interface design to improve understanding of the patient-reported outcome symptom response. PLOS ONE 2023;18(1):e0278465
    CrossRef
  15. Laptev DN, Eremina IA, Karpushkina AV, Petryaykina EE, Bezlepkina OB, Peterkova VA. Remote monitoring of adolescents with type 1 diabetes mellitus using a mobile application. Diabetes mellitus 2022;24(5):404
    CrossRef
  16. 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
    CrossRef
  17. Abdulhussein FS, Pinkney S, Görges M, van Rooij T, Amed S. Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers. JMIR Pediatrics and Parenting 2023;6:e46432
    CrossRef
  18. Suplotova LA, Alieva OO. Glycemia control using remote technologies. Meditsinskiy sovet = Medical Council 2023;17(9):81
    CrossRef
  19. Tarricone R, Petracca F, Svae L, Cucciniello M, Ciani O. Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials. eBioMedicine 2024;103:105091
    CrossRef