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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (617) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1504) mHealth in a Clinical Setting (655) Diabetes Self-Management (514) Glucose Tracking and Self-Monitoring of Blood Glucose (176)

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 (9) 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
  8. Alcides Loayza-Effio J, Huayta-Franco Y, Flores-Sotelo W. Systematic review protocol of digital divides in the medical sciences area. Salud, Ciencia y Tecnología 2024;4:750 View
  9. Ono Y, Okada H, Kitagawa N, Majima S, Okamura T, Senmaru T, Ushigome E, Nakanishi N, Hamaguchi M, Fukui M. Impact of Personal Health Records on Diabetes Management: A Propensity Score Matching Study. Diabetology 2024;5(7):640 View