التفاصيل البيبلوغرافية
| العنوان: |
Computing the Surveillance Error Grid Analysis |
| المؤلفون: |
Kovatchev, Boris P, Wakeman, Christian A, Breton, Marc D, Kost, Gerald J, Louie, Richard F, Tran, Nam K, Klonoff, David C |
| المصدر: |
Journal of Diabetes Science and Technology, vol 8, iss 4 |
| بيانات النشر: |
eScholarship, University of California |
| سنة النشر: |
2014 |
| المجموعة: |
University of California: eScholarship |
| مصطلحات موضوعية: |
Biomedical and Clinical Sciences, Nutrition and Dietetics, Patient Safety, Algorithms, Blood Glucose, Blood Glucose Self-Monitoring, Diabetes Mellitus, Humans, Hyperglycemia, Hypoglycemia, Reagent Strips, Reference Values, Risk Assessment, Software, blood glucose monitoring, error grid analysis, meter errors |
| جغرافية الموضوع: |
673 - 684 |
| الوصف: |
The surveillance error grid (SEG) analysis is a tool for analysis and visualization of blood glucose monitoring (BGM) errors, based on the opinions of 206 diabetes clinicians who rated 4 distinct treatment scenarios. Resulting from this large-scale inquiry is a matrix of 337 561 risk ratings, 1 for each pair of (reference, BGM) readings ranging from 20 to 580 mg/dl. The computation of the SEG is therefore complex and in need of automation. The SEG software introduced in this article automates the task of assigning a degree of risk to each data point for a set of measured and reference blood glucose values so that the data can be distributed into 8 risk zones. The software's 2 main purposes are to (1) distribute a set of BG Monitor data into 8 risk zones ranging from none to extreme and (2) present the data in a color coded display to promote visualization. Besides aggregating the data into 8 zones corresponding to levels of risk, the SEG computes the number and percentage of data pairs in each zone and the number/percentage of data pairs above/below the diagonal line in each zone, which are associated with BGM errors creating risks for hypo- or hyperglycemia, respectively. To illustrate the action of the SEG software we first present computer-simulated data stratified along error levels defined by ISO 15197:2013. This allows the SEG to be linked to this established standard. Further illustration of the SEG procedure is done with a series of previously published data, which reflect the performance of BGM devices and test strips under various environmental conditions. We conclude that the SEG software is a useful addition to the SEG analysis presented in this journal, developed to assess the magnitude of clinical risk from analytically inaccurate data in a variety of high-impact situations such as intensive care and disaster settings. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| العلاقة: |
qt84f9j8t2; https://escholarship.org/uc/item/84f9j8t2Test |
| الإتاحة: |
https://escholarship.org/uc/item/84f9j8t2Test |
| حقوق: |
public |
| رقم الانضمام: |
edsbas.A709D7E7 |
| قاعدة البيانات: |
BASE |
