Literature DB >> 15251625

Blood glucose monitoring technology: translating data into practice.

Irl B Hirsch1.   

Abstract

OBJECTIVE: To describe how blood glucose software downloading has been successfully incorporated into a clinical practice by focusing on key data--frequency of testing, blood glucose averages, and standard deviations.
METHODS: The development of self-monitoring of blood glucose, including the spectrum of blood glucose monitors and diabetes management software programs, is reviewed, and clinical applications in specific cases are presented.
RESULTS: Since the 1980s, motivated patients with diabetes have used portable meters to monitor their blood glucose levels. The practice became a standard of care in 1993, when the Diabetes Control and Complications Trial demonstrated that maintaining near-normal glycemic levels could prevent or delay the long-term complications of type 1 diabetes. Since then, the technology of blood glucose monitoring has burgeoned--an array of memory meters and downloading software offers clinicians and patients more information than ever before. Yet, because health-care providers and patients are often at a loss to interpret and apply the resulting plethora of data, few take full advantage of the latest technology. Important insights are shared about certain downloaded information from glucose meters that will help improve or maintain glycemic control.
CONCLUSION: Data downloaded from glucose meters can be used in conjunction with written records in logbooks to evaluate glucose patterns and formulate more precise and efficacious therapeutic regimens.

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Year:  2004        PMID: 15251625     DOI: 10.4158/EP.10.1.67

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  14 in total

1.  Use of diabetes data management software reports by health care providers, patients with diabetes, and caregivers improves accuracy and efficiency of data analysis and interpretation compared with traditional logbook data: first results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES).

Authors:  Deborah A Hinnen; Ann Buskirk; Maureen Lyden; Linda Amstutz; Tracy Hunter; Christopher G Parkin; Robin Wagner
Journal:  J Diabetes Sci Technol       Date:  2014-11-02

2.  Performance evaluation and labeling comprehension of a new blood glucose monitoring system with integrated information management.

Authors:  Susan M List; Nykole Starks; John Baum; Carmine Greene; Scott Pardo; Joan L Parkes; Holly C Schachner; Robert Cuddihy
Journal:  J Diabetes Sci Technol       Date:  2011-09-01

3.  Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

Review 4.  Genetic epidemiology of diabetes.

Authors:  M Alan Permutt; Jonathon Wasson; Nancy Cox
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

5.  New approaches to display of self-monitoring of blood glucose data.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

6.  Value of self-monitoring blood glucose pattern analysis in improving diabetes outcomes.

Authors:  Christopher G Parkin; Jaime A Davidson
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

7.  A Comprehensive Evaluation of a Novel Color Range Indicator in Multiple Blood Glucose Meters Demonstrates Improved Glucose Range Interpretation and Awareness in Subjects With Type 1 and Type 2 Diabetes.

Authors:  Mike Grady; Laurence B Katz; Hilary Cameron; Brian L Levy
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

8.  Hypoglycemia risk and glucose variability indices derived from routine self-monitoring of blood glucose are related to laboratory measures of insulin sensitivity and epinephrine counterregulation.

Authors:  Achilleas N Pitsillides; Stacey M Anderson; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2011-01       Impact factor: 6.118

9.  Ascensia WinGLUCOFACTS Professional Software improves diabetes health outcomes.

Authors:  Michael Janssen; Manuel Portalatin; Jane Wallace; Weiping Zhong; Joan Lee Parkes
Journal:  J Diabetes Sci Technol       Date:  2007-01

10.  Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study.

Authors:  Joerg Weissmann; Angelika Mueller; Diethelm Messinger; Christopher G Parkin; Ildiko Amann-Zalan
Journal:  J Diabetes Sci Technol       Date:  2015-07-29
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