Articles published in 2019 in this theme: 18 (scroll down to load remaining articles)
2019
Effectiveness of Smartphone App–Based Interactive Management on Glycemic Control in Chinese Patients With Poorly Controlled Diabetes: Randomized Controlled Trial
J Med Internet Res 2019 (Dec 09); 21(12):e15401
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Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study
JMIR Res Protoc 2019 (Nov 19); 8(11):e15368
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Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
JMIR Mhealth Uhealth 2019 (Nov 01); 7(11):e14452
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Examining the Use of Glucose and Physical Activity Self-Monitoring Technologies in Individuals at Moderate to High Risk of Developing Type 2 Diabetes: Randomized Trial
JMIR Mhealth Uhealth 2019 (Oct 28); 7(10):e14195
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The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study
JMIR Diabetes 2019 (Oct 07); 4(4):e14799
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A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study
JMIR Diabetes 2019 (Aug 28); 4(3):e12905
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Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study
JMIR Diabetes 2019 (Jul 09); 4(3):e14002
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Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study
JMIR Diabetes 2019 (Jul 08); 4(3):e14032
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Designing a Distributed Ledger Technology System for Interoperable and General Data Protection Regulation–Compliant Health Data Exchange: A Use Case in Blood Glucose Data
J Med Internet Res 2019 (Jun 13); 21(6):e13665
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Continuous Glucose Monitoring in the Real World Using Photosurveillance of #Dexcom on Instagram: Exploratory Mixed Methods Study
JMIR Public Health Surveill 2019 (May 24); 5(2):e11024
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Achieving Value-Based Care in Chronic Disease Management: Intervention Study
JMIR Diabetes 2019 (May 03); 4(2):e10368
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Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes
J Med Internet Res 2019 (May 01); 21(5):e11030
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Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes
JMIR Mhealth Uhealth 2019 (Apr 24); 7(4):e13204
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Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study
JMIR Diabetes 2019 (Apr 18); 4(2):e11590
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Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability
JMIR Med Inform 2019 (Mar 25); 7(1):e11873
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Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study
JMIR Mhealth Uhealth 2019 (Mar 07); 7(3):e11933
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Impact of New Technologies for Middle-Aged and Older Patients: In-Depth Interviews With Type 2 Diabetes Patients Using Continuous Glucose Monitoring
JMIR Diabetes 2019 (Feb 21); 4(1):e10992
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The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis
JMIR Mhealth Uhealth 2019 (Jan 15); 7(1):e12297
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