Performance Evaluation of Blood Glucose Monitoring Devices

2003 ◽  
Vol 5 (5) ◽  
pp. 749-768 ◽  
Author(s):  
Ellen T. Chen ◽  
James H. Nichols ◽  
Show-Hong Duh ◽  
Glen Hortin
Keyword(s):  
Performance Evaluation ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Monitoring Devices

scholarly journals User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors

2018 ◽  
Vol 9 (2) ◽  
pp. 683-697 ◽  
Author(s):  
Guido Freckmann ◽  
Nina Jendrike ◽  
Annette Baumstark ◽  
Stefan Pleus ◽  
Christina Liebing ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Monitoring Systems ◽  
User Performance

Self-monitoring Blood Glucose (SMBG): Now and the Future

2004 ◽  
Vol 17 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Amber L. Briggs ◽  
Susan Cornell
Keyword(s):  
Blood Glucose ◽  
Glucose Control ◽  
Microvascular Complications ◽  
Blood Glucose Control ◽  
Glucose Monitoring ◽  
The United States ◽  
Blood Glucose Monitoring ◽  
Self Monitoring ◽  
State Management ◽  
Monitoring Devices

In 2002, the cost of diabetes in the United States reached $132 billion. There is a well-established relationship between blood glucose control and the risk of diabetes-related complications. Tight blood glucose control, through intensive diabetes therapy, reduces the risk and delays the onset of diabetesrelated microvascular complications. Regular and consistent self-monitoring of blood glucose (SMBG) is and should be a part of all diabetes disease state management programs. Pharmacists can truly increase the numbers of patients who use SMBG by being aware and familiar with the monitoring devices available to patients and identifying the physical and psychological issues surrounding SMBG. Results from SMBG and hemoglobin A1C are the basis formost of the medical decisions made for patients with diabetes. This review discusses the best time for patients to test their blood glucose, information regarding blood glucose monitoring devices, alternative site testing, and the newest technology available in glucose monitoring.

scholarly journals Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197

2015 ◽  
Vol 10 (1) ◽  
pp. 85-92 ◽  
Author(s):  
José Luis Bedini ◽  
Jane F. Wallace ◽  
Scott Pardo ◽  
Thorsten Petruschke
Keyword(s):  
Performance Evaluation ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Monitoring Systems

Comparative Performance Evaluation of the CONTOUR® NEXT Blood Glucose Monitoring System

2013 ◽  
Vol 37 ◽  
pp. S42
Author(s):  
Leslie J. Klaff ◽  
Kristen Hughes ◽  
Ann M. Tideman ◽  
Holly C. Schachner ◽  
Patricia Stenger ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Blood Glucose ◽  
Monitoring System ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Comparative Performance

scholarly journals Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices

2018 ◽  
Vol 13 (3) ◽  
pp. 575-583 ◽  
Author(s):  
Guido Freckmann ◽  
Stefan Pleus ◽  
Mike Grady ◽  
Steven Setford ◽  
Brian Levy
Keyword(s):  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Measurement Accuracy ◽  
Glucose Monitoring ◽  
Blood Glucose Monitoring ◽  
Glucose Measurement ◽  
Bias Analysis ◽  
Patients With Diabetes ◽  
Monitoring Devices ◽  
Error Grid

Currently, patients with diabetes may choose between two major types of system for glucose measurement: blood glucose monitoring (BGM) systems measuring glucose within capillary blood and continuous glucose monitoring (CGM) systems measuring glucose within interstitial fluid. Although BGM and CGM systems offer different functionality, both types of system are intended to help users achieve improved glucose control. Another area in which BGM and CGM systems differ is measurement accuracy. In the literature, BGM system accuracy is assessed mainly according to ISO 15197:2013 accuracy requirements, whereas CGM accuracy has hitherto mainly been assessed by MARD, although often results from additional analyses such as bias analysis or error grid analysis are provided. The intention of this review is to provide a comparison of different approaches used to determine the accuracy of BGM and CGM systems and factors that should be considered when using these different measures of accuracy to make comparisons between the analytical performance (ie, accuracy) of BGM and CGM systems. In addition, real-world implications of accuracy and its relevance are discussed.

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