The Clarke Error Grid Analysis (EGA) was developed in 1987 to quantify the clinical accuracy of patient estimates of their current blood glucose as provided by a blood glucose meter.
[1] This technique was then applied to quantify the clinical accuracy of blood glucose estimates generated by personal meters as compared to values from a laboratory reference test.
[2] Eventually, the EGA became accepted as one of the “gold standard” techniques for determining the accuracy of blood glucose meters.
A scatterplot is generated, plotting values from the reference glucose meter (x-axis) against values from the new device (y-axis); thus, each point represents measurement of a single sample by two methods.
Grid lines are then drawn to indicate 5 different classifications (Regions A-E) based on clinical relevance: