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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Usage Data and Process Outcomes in eHealth Trials (56) Usability of Apps and User Perceptions of mHealth (993) Diabetes Self-Management (495) Glucose Tracking and Self-Monitoring of Blood Glucose (166)

Published on in Vol 7, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13204, first published .
Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes

Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes

Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes

Authors of this article:

Satoko Yamaguchi1, 2 Author Orcid Image ;   Kayo Waki2, 3 Author Orcid Image ;   Yasuhito Nannya4 Author Orcid Image ;   Masaomi Nangaku5 Author Orcid Image ;   Takashi Kadowaki1, 3 Author Orcid Image ;   Kazuhiko Ohe6 Author Orcid Image
Article Authors Cited by (33) Tweetations (2) Metrics

Journals

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  5. Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866 View
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  12. Senoo K, Miki T, Ohkura T, Iwakoshi H, Nishimura T, Shiraishi H, Teramukai S, Matoba S. A Smartphone App to Improve Oral Anticoagulation Adherence in Patients With Atrial Fibrillation: Prospective Observational Study. JMIR mHealth and uHealth 2022;10(1):e30807 View
  13. Senoo K, Yukawa A, Ohkura T, Iwakoshi H, Nishimura T, Shimoo S, Inoue K, Sakatani T, Kakita K, Hattori T, Kitajima H, Nakai K, Nishiuchi S, Nakata M, Teramukai S, Shiraishi H, Matoba S. The impact of home electrocardiograph measurement rate on the detection of atrial fibrillation recurrence after ablation: A prospective multicenter observational study. IJC Heart & Vasculature 2023;44:101177 View
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  15. Kondo M, Okitsu T, Waki K, Yamauchi T, Nangaku M, Ohe K. Effect of Information and Communication Technology–Based Self-management System DialBeticsLite on Treating Abdominal Obesity in the Specific Health Guidance in Japan: Randomized Controlled Trial. JMIR Formative Research 2022;6(3):e33852 View
  16. Bardram J, Cramer-Petersen C, Maxhuni A, Christensen M, Bækgaard P, Persson D, Lind N, Christensen M, Nørgaard K, Khakurel J, Skinner T, Kownatka D, Jones A. DiaFocus: A Personal Health Technology for Adaptive Assessment in Long-Term Management of Type 2 Diabetes. ACM Transactions on Computing for Healthcare 2023;4(2):1 View
  17. Bührmann L, Van Daele T, Rinn A, De Witte N, Lehr D, Aardoom J, Loheide-Niesmann L, Smit J, Riper H. The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research. Frontiers in Digital Health 2022;4 View
  18. Ferreira Gomes M, da Silva Fernandes C, Aguiar de Sousa M, Bráz da Silva R, da Costa Silva I, Moreira Barros L. Aplicativos móveis direcionados aos idosos para autogerenciamento do cuidado: revisão de escopo. Revista Cuidarte 2023;14(1) View
  19. Kawai Y, Waki K, Yamaguchi S, Shibuta T, Miyake K, Kimura S, Toyooka T, Nakajima R, Uneda K, Wakui H, Tamura K, Nangaku M, Ohe K. The Use of Information and Communication Technology–Based Self-management System DialBeticsLite in Treating Abdominal Obesity in Japanese Office Workers: Prospective Single-Arm Pilot Intervention Study. JMIR Diabetes 2022;7(4):e40366 View
  20. Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e31652 View
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  22. Jungnickel T, von Jan U, Albrecht U. Implementation of Mobile Psychological Testing on Smart Devices: Evaluation of a ResearchKit-Based Design Approach for the Implicit Association Test. Frontiers in Digital Health 2022;4 View
  23. Shibata S, Hoshide S. Current situation of telemedicine research for cardiovascular risk in Japan. Hypertension Research 2023;46(5):1171 View
  24. Barker M, Chauhan R, Davies M, Brough C, Northern A, Stribling B, Schreder S, Khunti K, Hadjiconstantinou M. User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study. JMIR Diabetes 2023;8:e44943 View
  25. Sze W, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481 View
  26. Hani S, Saleh M. Using Real-Time, Partially Automated Interactive System to Interpret Patient’s Data; Helping The Patient To Achieve Diabetic Self-Management: A Rapid Literature Review. Current Diabetes Reviews 2023;19(5) View
  27. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
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Books/Policy Documents

  1. Niwa M, Hara Y. Mobile Health (mHealth). View