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Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study

Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study

Self-monitoring of blood glucose can lead to weight loss and better HbA1c levels through increased adherence to dietary recommendations [8,10,12,15].

Yan Du, Brittany Dennis, Shanae Lakel Rhodes, Michelle Sia, Jisook Ko, Rozmin Jiwani, Jing Wang

JMIR Diabetes 2020;5(3):e21183


The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study

The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study

Poor control of diabetes is shown to be related to a lack of knowledge around blood glucose (BG) monitoring, proper nutrition, and medication self-management [3].

Jennifer B Bollyky, Stephanie T Melton, Tong Xu, Stefanie L Painter, Brian Knox

JMIR Diabetes 2019;4(4):e14799


Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study

At present, diabetes is diagnosed and predicted based on fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and plasma glucose levels 2 hours after a 75-g oral glucose tolerance test (OGTT) [4].

Katsutoshi Maeta, Yu Nishiyama, Kazutoshi Fujibayashi, Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima, Toshio Naito

JMIR Diabetes 2018;3(4):e10212


Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability

Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability

audit of blood glucose tests and insulin data in a 20% stratified sample of all blood glucose tests available in the meters for patients admitted during 4 months (July to October 2016).

Azizeh Khaled Sowan, Ana Vera, Ashwin Malshe, Charles Reed

JMIR Med Inform 2019;7(1):e11873


Use of a Connected Glucose Meter and Certified Diabetes Educator Coaching to Decrease the Likelihood of Abnormal Blood Glucose Excursions: The Livongo for Diabetes Program

Use of a Connected Glucose Meter and Certified Diabetes Educator Coaching to Decrease the Likelihood of Abnormal Blood Glucose Excursions: The Livongo for Diabetes Program

Blood glucose (BG) excursions out of the normal range (70-180 mg/dL, or 3.9-10.0 mmol/L [4]) are important drivers of these extraordinary costs, often leading to unnecessary emergency department visits, hospitalization, urgent care visits, and office visits

Janelle Downing, Jenna Bollyky, Jennifer Schneider

J Med Internet Res 2017;19(7):e234