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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (542) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) mHealth in a Clinical Setting (581) Diabetes Self-Management (463) Glucose Tracking and Self-Monitoring of Blood Glucose (150)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15372, first published .
The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study

The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study

The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study

Authors of this article:

Dongjin Seo1 Author Orcid Image ;   Yu Rang Park2 Author Orcid Image ;   Yura Lee3 Author Orcid Image ;   Ji Young Kim4 Author Orcid Image ;   Joong-Yeol Park5 Author Orcid Image ;   Jae-Ho Lee3, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (10) Metrics

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  1. Kwon H, Kim H, An J, Lee J, Park Y. Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study. Journal of Medical Internet Research 2021;23(1):e22184 View
  2. Ruhi U, Chugh R. Utility, Value, and Benefits of Contemporary Personal Health Records: Integrative Review and Conceptual Synthesis. Journal of Medical Internet Research 2021;23(4):e26877 View
  3. Kinouchi K, Ohashi K. Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis. JMIR Formative Research 2022;6(5):e35471 View
  4. Chiang T, Chiang D, Chen T, Lin F, Shen V, Wang M. Novel Lagrange interpolation polynomials for dynamic access control in a healthcare cloud system. Mathematical Biosciences and Engineering 2022;19(9):9200 View
  5. Ndabu T, Agrawal L, Sharman R. The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study. Journal of Medical Internet Research 2022;24(12):e41972 View
  6. Brands M, Gouw S, Beestrum M, Cronin R, Fijnvandraat K, Badawy S. Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review. Journal of Medical Internet Research 2022;24(12):e43086 View
  7. Amiri P, Pirnejad H, Bahaadinbeigy K, Baghini M, Khazaee P, Niazkhani Z. A qualitative study of factors influencing ePHR adoption by caregivers and care providers of Alzheimer's patients: An extension of the unified theory of acceptance and use of technology model. Health Science Reports 2023;6(7) View