Clarke Error Grid Analysis for Performance Evaluation of Glucometers in a Tertiary Care Referral Hospital

Glucometer is the most commonly used POCT device and guides monitoring of blood glucose level in both clinical settings and outside. Inaccurate glucometer readings resulting in erroneous therapeutic intervention has critical consequences on patient care. Regulatory guidelines for performance evaluation of glucometers are not available in many countries. A robust program implemented by the hospital is essential to ensure accuracy and precision of glucometers to produce optimal results. The objective of this study was to design a quality assurance program for the evaluation of glucometers in a high volume tertiary care referral hospital and evaluate the results from July'18 to July'19. Seventy three glucometers used across the hospital were subjected to Internal Quality Control checks and Proficiency Testing performed once a month and every 3 months respectively. The results were reviewed and plotted on a Bland Altman Graph. Clarke Error Grid Analysis was done to evaluate the clinical significance of inaccuracies in the measurement of blood glucose concentration as per ISO 15197: 2013. Eight devices were identified as unacceptable by ISO standards and replaced subsequently. 96.83% and 3.17% of the values were in Zone A and B of Clarke Error Grid Analysis. The study complied with the standard which requires that 99% of the values fall within zones A and B. The review of the program after one year and its ability to identify defective glucometers has validated the efficacy of the model. The method used may be suggested as a prototype for quality management of glucometers in a clinical setting.

Automated summary

Glucometer plays a crucial role in monitoring blood glucose level, and accuracy is essential for optimal patient care. This study designed a quality assurance program for evaluating glucometers in a hospital, which showed compliance with ISO standards. The method used has been validated after one year and may serve as a prototype for glucometer quality management in a clinical setting.