Performance of community blood glucose meters in calgary, alberta: an analysis of quality assurance data

Can J Diabetes. 2014 Oct;38(5):326-8. doi: 10.1016/j.jcjd.2014.04.004. Epub 2014 Aug 26.

Abstract

Objective: The self-monitoring of blood glucose plays a critical role in management of diabetes mellitus. Although laboratory comparisons of glucose meter accuracy are often acceptable, clinical comparisons show frequent inaccuracies. In this paper, we evaluate the accuracy of self-monitoring blood glucose meters using glucose meter and serum comparisons from a large Canadian laboratory.

Methods: This study was performed using secondary data obtained from the Laboratory Information System of Calgary Services, the sole provider of laboratory testing to Calgary and surrounding areas. We examined anonymous quality assurance data for glucose meter comparisons performed on home glucose meters between January 1, 2010, and April 30, 2013.

Results: A total of 39 542 comparisons were recorded on 18 540 different subjects. Overall, 6.7% of differences were greater than the current International Standards Organization standard of 15%, and 3.7% exceeded the Canadian guideline of 20%.

Conclusions: Glucose meter checks were infrequently performed (on average, once per 1.6 years). A significant subset of meter results was inaccurate.

Keywords: assurance de la qualité; autosurveillance de la glycémie; glucose self-monitoring; patient safety; quality assurance; sécurité du patient.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Adult
  • Alberta / epidemiology
  • Blood Glucose Self-Monitoring / instrumentation*
  • Blood Glucose Self-Monitoring / standards
  • Canada / epidemiology
  • Clinical Laboratory Techniques / instrumentation*
  • Clinical Laboratory Techniques / standards
  • Cost-Benefit Analysis
  • Diabetes Mellitus / blood*
  • Diabetes Mellitus / epidemiology
  • Female
  • Health Education
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Male
  • Patient Education as Topic
  • Population Surveillance
  • Quality Assurance, Health Care / standards*
  • Reproducibility of Results