Contour Next ONE Blood Glucose Monitoring System

Product Description The CONTOUR NEXT ONE is shown to deliver remarkable accuracy(1) within ±8.4% of lab values.* The CONTOUR NEXT ONE blood glucose smart meter and app system combines remarkable accuracy(1) with ease-of-use to benefit a broad range of people living with diabetes. By integrating your blood glucose (BG) meter with a smartphone app you may simplify the management of your diabetes(2,3,4,5,6). BG results captured throughout the day can be automatically synced and logged and over time your results may create meaningful insights into how your activities affect your BG levels, which may help improve your understanding of your diabetes. All via your smartphone - the same platform you use for so many aspects of your life! The free app is available for download on a compatible iOS or Android device via Apple App Store or Google Play, and is compatible with Apple Health. Read user guide before use. From the Manufacturer Established in 2016 through the acquisition of Bayer Diabetes Care by PHC Holdings (formerly known as Panasonic Healthcare Holdings), Ascensia Diabetes Care is a global company dedicated to improving the health and lives of people with diabetes. Already including the world‐renowned CONTOUR range of blood glucose monitoring systems, we are committed to adding more innovative and lifechanging products to our portfolio. Ascensia, the Ascensia Diabetes Care logo, Contour, Second-Chance, the Second-Chance logo, No Coding, the No Coding logo are trademarks and or registered trademarks of Ascensia Diabetes Care. *8.4% applies to values ≥100mg/dL. An ad hoc analysis demonstrated that 95% of results fell within ±8.4 mg/dL or ±8.4% of the laboratory reference values for glucose concentrations <100 mg/dL or ≥100 mg/dL, respectively, when tested via subject-obtained capillary fingertip results (patients with diabetes). References: 1. Christiansen, M. P. (2017). A New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device: Accuracy and User Performance Evaluation. Journal of Diabetes Science and Technology, 11(3), 567-573. DOI: 10.1177/1932296817691301. 2. Richardson J et al, Clinical Relevance of Reapplication of Blood Samples During Blood Glucose Testing. Poster presented at the Diabetes Technology Meeting (DTM) 2020, Maryland, USA. 3. Tran, J. et al. (2012). Smartphone-Based Glucose Monitors and Applications in the Management of Diabetes: An Overview of 10 Salient “Apps” and a Novel Smartphone-Connected Blood Glucose Monitor. Clinical Diabetes, 30(4), 173-178. 4. Hedtke, P. (2008). Can Wireless Technology Enable New Diabetes Management Tools? Journal of Diabetes Science and Technology, 2(1), 127-130. 5. Orsama, A-L. et al. (2013). Active Assistance Technology Reduces Glycosylated Hemoglobin and Weight in Individuals With Type 2 Diabetes: Results of a Theory-Based Randomized Trial. Diabetes Technology & Therapeutics, 15(8), 662-669. 6. Katz, L. B. et al. (2013). Automated Glycemic Pattern Analysis Can Improve Health Care Professional Efficiency and Accuracy. Journal of Diabetes Science and Technology, 7(1), 163-166.