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Top Articles
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Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study

JMIR Diabetes 2018;3(1):e4

422516 23 20
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

JMIR Diabetes 2017;2(2):e19

330558 0 10
A Novel Intervention Including Individualized Nutritional Recommendations Reduces Hemoglobin A1c Level, Medication Use, and Weight in Type 2 Diabetes

JMIR Diabetes 2017;2(1):e5

260695 901 60
Impact of Facebook on Glucose Control in Type 1 Diabetes: A Three-Year Cohort Study

JMIR Diabetes 2017;2(1):e9

139555 14 11
Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study

JMIR Diabetes 2016;1(1):e1

119198 8 3
An Interactive Simulation to Change Outcome Expectancies and Intentions in Adults With Type 2 Diabetes: Within-Subjects Experiment

JMIR Diabetes 2018;3(1):e2

102618 8 3
Information and Communication Technology-Powered Diabetes Self-Management Systems in China: A Study Evaluating the Features and Requirements of Apps and Patents

JMIR Diabetes 2016;1(1):e2

96206 4 3
Use of a Mobile App to Facilitate Blood Glucose Monitoring in Adolescents With Type 1 Diabetes: Single-Subject Nonrandomized Clinical Trial

JMIR Diabetes 2018;3(1):e3

93645 7 2
Evaluating the Accuracy of Google Translate for Diabetes Education Material

JMIR Diabetes 2016;1(1):e3

82482 2 18
Health Care Professionals’ Clinical Perspectives on Glycemic Control and Satisfaction With a New Blood Glucose Meter With a Color Range Indicator: Online Evaluation in India, Russia, China, and the United States

JMIR Diabetes 2018;3(1):e1

82429 2 0
The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology

JMIR Diabetes 2017;2(1):e1

79655 7 6
Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes)

JMIR Diabetes 2018;3(1):e5

79022 4 1
Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study

JMIR Diabetes 2018;3(3):e12

78834 707 19
Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives

JMIR Diabetes 2017;2(1):e2

77987 14 18
Mixed-Methods Research in Diabetes Management via Mobile Health Technologies: A Scoping Review

JMIR Diabetes 2017;2(1):e3

67083 13 4
Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan

JMIR Diabetes 2018;3(1):e6

63949 3 1
Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

JMIR Diabetes 2017;2(2):e11

63060 0 2
Phone Messaging to Prompt Physical Activity and Social Support Among Low-Income Latino Patients With Type 2 Diabetes: A Randomized Pilot Study

JMIR Diabetes 2017;2(1):e8

62924 8 5
The Use of Mobile Health to Deliver Self-Management Support to Young People With Type 1 Diabetes: A Cross-Sectional Survey

JMIR Diabetes 2017;2(1):e4

59952 28 13
Telemonitoring and Health Counseling for Self-Management Support of Patients With Type 2 Diabetes: A Randomized Controlled Trial

JMIR Diabetes 2017;2(1):e10

54222 9 6
Machine or Human? Evaluating the Quality of a Language Translation Mobile App for Diabetes Education Material

JMIR Diabetes 2017;2(1):e13

52018 2 6
Perceptions of Persons With Type 2 Diabetes Treated in Swedish Primary Health Care: Qualitative Study on Using eHealth Services for Self-Management Support

JMIR Diabetes 2018;3(1):e7

51964 6 12
How’s Your Sugar? Evaluation of a Website for Aboriginal People With Diabetes

JMIR Diabetes 2017;2(1):e6

51697 9 2
Digital Health for Medication Adherence in Adult Diabetes or Hypertension: An Integrative Review

JMIR Diabetes 2017;2(2):e20

49148 40 14
A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults

JMIR Diabetes 2017;2(2):e28

49054 32 35

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