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

Mobile Health (mhealth) (3464) Cardiology (224) Diabetes (259) Diabetes Self-Management (588) Hypertension Prevention and Treatment (296) Telehealth and Telemonitoring (2088) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Glucose Tracking and Self-Monitoring of Blood Glucose (202)

Published on in Vol 24, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32923, first published .
Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study

Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study

Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study

Authors of this article:

‪Yifat Fundoiano-Hershcovitz1 Author Orcid Image ;   Dror Bacher1 Author Orcid Image ;   Marilyn D Ritholz2 Author Orcid Image ;   David L Horwitz3 Author Orcid Image ;   Omar Manejwala1 Author Orcid Image ;   Pavel Goldstein4 Author Orcid Image
Article Authors Cited by (11) Tweetations (7) Metrics

Journals

  1. 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
  2. Fundoiano-Hershcovitz Y, Breuer Asher I, Ritholz M, Feniger E, Manejwala O, Goldstein P. Specifying the Efficacy of Digital Therapeutic Tools for Depression and Anxiety: Retrospective, 2-Cohort, Real-World Analysis. Journal of Medical Internet Research 2023;25:e47350 View
  3. Breuer-Asher I, Ritholz M, Horwitz D, Manejwala O, Behar E, Fundoiano-Hershcovitz Y. Association of Digital Engagement With Relaxation Tools and Stress Level Reduction: Retrospective Cohort Study. JMIR Formative Research 2024;8:e50506 View
  4. Yeshurun S, Cramer T, Souroujon D, Mor M. The Association of Macronutrient Consumption and BMI to Exhaled Carbon Dioxide in Lumen Users: Retrospective Real-World Study. JMIR mHealth and uHealth 2024;12:e56083 View
  5. Narang G, Chen Y, Wedel N, Wu M, Luo M, Atreja A. Development of a Digital Patient Assistant for the Management of Cyclic Vomiting Syndrome: Patient-Centric Design Study. JMIR Formative Research 2024;8:e52251 View
  6. Hamiduzzaman M, Gaffney H, Jindal S, Patra M, Gudur R, Pit S, Rahman A. Virtual Healthcare for Older Adults With Preventable Chronic Conditions: A Meta-synthesis of Quality Aspects. Journal of Applied Gerontology 2025;44(7):1089 View
  7. Oh M, Kim E, Lee J, Jeong I, Kim E, Paek J, Lee T, Kim D, An S, Kim S, Lim J, Park J. Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems. Advanced Sensor Research 2025;4(7) View
  8. Yu J, Fu Y, Du H, Wu Q, Zhang S, Zhao B, Xue E, Guo Y, Yang R, Zhu M, Zhang H, Shao J. The effectiveness of nudge-based interventions on self-monitoring behaviours among patients with cardiometabolic diseases: a systematic review and meta-analysis. Health Psychology Review 2025;19(4):878 View
  9. Bolo C. Knowledge, Attitudes, and Compliance to Hypertension and Diabetes Mellitus Medications among Clients. Psychology and Education: A Multidisciplinary Journal 2025;45(9):1146 View
  10. Chervonski E, Pelegri E, De La Calle F, Mandal S, Graves C, Colella D, Elmaleh-Sachs A, Nay J, Dapkins I, Schoenthaler A. Cardiovascular Health Markers With Remote Team-Based Hypertension Management in a Safety-Net Population. American Journal of Preventive Medicine 2025;69(5):108031 View
  11. Fundoiano-Hershcovitz Y, Breuer Asher I, D Ritholz M, L Horwitz D, Manejwala O, Levi C, Goldstein P. The Impact of Digital Intervention Messages Targeting Users With High Blood Pressure Events: Retrospective Real-World Study. JMIR Cardio 2025;9:e76275 View