Absract
Self-monitoring of Blood Glucose (SMBG) is an important adjunct to homoglobin A1C (HbA1C) testing. This action can distinguish fasting, preprandial and postprandial hyperglycemia; detect glycemic excursions;identify and monitor resolution of hypoglycemia; and provide immediate feedback to patients about the effect of food choices,activity,ang medication on glycemic control
Pattern analysis is a systematic approach to indentifying glycemic patterns within SMBG data ang then taking approriate action based upon those resuits. The use of pattern analysis involves: (1) establishing pre-and postprandial glucose targets;(2) obtaining data on glucose levels, Carbohydrate intake, medication administratio( type,dosage,timing), activity levels and physical/emational stress;(3) analyzing data to idenfity patterns of glycemic excursions, assessing any influential factors, and implementing approriate action(s); ang(4) performing ongoing SMBG to assess the impact of any therapeutic changes made.
Coputer-based paper-based data collection ang management tools can be developed to perform patturn analysis for identifying patturn in SMBG data. This approach to interpreting SMBG data facilitates rational therapeutic adjustments in response to this information. Pattern analysis of SMBG data can be of equal or greater value than measurement of HbA1C levels.