John Gleisner completed his Ph.D. in Biochemistry from the University of Minnesota and postdoctoral studies from the University of Iowa. His first career following graduate school was at the Virginia Mason Research Center in Seattle, WA. He later moved into industry where he is currently the Science Director at ARKRAY Factory in USA. Gleisner has spent nearly 30 years working on blood glucose system development and support. He has authored over 25 publications and holds 11 US patents.
Background: Blood Glucose Monitoring Systems (BGMS) are an important tool in the management of diabetes. The gold standard in measuring the accuracy of BGMS in the self-testing of diabetes mellitus is known as the ISO 15197:2013. The level of accuracy of the BGMS results in a person’s ability to regulate their blood sugar levels. According to ISO 15197:2013, system accuracy performance criteria is defined as 95% of the BGMS results falling within ±15 mg/dL of the reference analyzer results with glucose concentrations less than 100 mg/dL. For samples with glucose concentrations ≥ 100 mg/dL, 95% of the BGMS results need to be within 15% of the reference analyzer results. Furthermore 99% of all results are required to be in the A and B zones of the Consensus Error Grid [Parkes J.L. et al]. Purpose: The objective of this study is to demonstrate whether the ARKRAY GLUCOCARD 01 aligns with the newly introduced BGMS self-monitoring performance requirements. Methods: Two lots of ARKRAY GLUCOCARD 01 blood glucose test strips were evaluated for performance and bias comparison (N=120 data points). The samples were collected from the fingertip of confirmed diabetics by trained personnel in September 2014 at the ARKRAY Factory, Inc. Reference values were obtained using the YSI Model 2300 Analyzer. The data was analyzed using the minimum system accuracy performance criteria published in the ISO 15197:2013. Results: The results showed that 100% of the <100 mg/dL samples (n=8/8) were ± 15 mg/dL thus exceeding the 95% accuracy criteria. 97.3% of the ≥100 mg/dL samples (n=109/112) fell within the pre- determined 15%, which surpassed the 95% performance criteria. All data were within the A and B zones of the Consensus Error Grid. The overall bias was -0.1% demonstrating a strong agreement between the GLUCOCARD 01 and the YSI reference analyzer, which is considered the gold standard glucose assay for BGMS studies. The correlation coefficient (r) =0.98 demonstrates a strong linear relationship between the YSI and meter result. Conclusion: The data acquired on the ARKRAY GLUCOCARD 01 met the ISO 15197:2013 system accuracy performance criteria, the most stringent BGMS requirement in the self-monitoring of diabetes mellitus
Karen Dawn, RN, DNP, is a Certified Diabetes Educator and PHCNS-BS nurse with 33 years experience working with vulnerable populations with and at risk for diabetes and other chronic diseases. She currently is an assistant clinical professor at George Washington University School of Nursing and the coordinator of public health and community nursing in the accelerated BSN program. She is a frequent presenter at professional meetings, including the American Diabetes Association, Association of Community Health Nurse Educators, American Public Health Association, Public Health Nurses Association and The American Association of Diabetes Educators.
The rural population of Appalachian is plagued by enormous health disparities due to extensive poverty, lack of education, and minimal access to health care. Type 2 diabetes and obesity have become regional epidemics. Because there are limited health care providers and many barriers to accessing treatment within Appalachia, the Remote Area Medical (RAM) clinic has been an important initiative in addressing the health care needs of the region. For the 2012 RAM events, nurse educators implemented a nutrition education project using the MyPlate educational tools targeting individuals who were at risk for developing or who have type 2 diabetes (mean BMI= 32.3). This tool offered simple, easy to understand, graphic information that significantly reduced nutrition instruction time and increased patient comprehension, evaluated by point of care survey (88) response. After IRB approval, a one year follow-up survey was mailed to 70 individuals who were educated on MyPlate. Results of this pilot study demonstrated that the one-time education session lead to 4.4 pound weight loss, albeit not statistically significant, p=0.158. At baseline, 26% followed the MyPlate portion size most or all of the time, compared to 39% at follow-up. Participants who saw their MyPlate tool each day trended towards more weight loss than those who did not see their tool daily, p=0.63. Barriers to following the MyPlate were cost (48%) and change in eating habits (30%). Healthcare providers, and lay health workers, working with at-risk, vulnerable populations may benefit from using this simple, free, easily accessible, and evidence-based nutrition tool. Objectives: 1. Learner will differentiate between MyPlate visibility and weight loss. 2. Learner will state two barriers to following MyPlate in rural, obese populations.