Dose Accuracy and Reliability of a Connected Insulin Pen System.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2025-01-29 DOI:10.1177/19322968241301760
Matthew Backfish, Kimberly Kovalchick, Robert Albert, Myriam Rosilio, Farai Chigutsa, Birong Liao
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引用次数: 0

Abstract

For people with diabetes on insulin injection therapy, insulin pen dose accuracy and reliability are key features. Dose accuracy of the Tempo PenTM with attached Tempo Smart ButtonTM [Module] (the system) was tested for three doses under standard atmospheric conditions. Reliability and the ability of the Module to detect, store, and transmit dose-related data were also tested. The system met the International Organization for Standardization 11608-1:2014 requirements for dose accuracy at all doses. Mean (standard deviation) doses were 0.010 mL (0.002), 0.299 mL (0.002), and 0.597 mL (0.004) for the 0.010-mL, 0.300-mL, and 0.600-mL doses, respectively. The Module also met requirements for data transfer after every injection. The system accurately delivered doses and reliably captured and stored insulin dosing information.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
期刊最新文献
Corrigendum to "How the Diabetes Research Hub Will Modernize and Enhance Diabetes Data Utilization". Cost-Effective Quality of Life Improvement While Reducing Health Care Professional Burnout With an AI-Driven Intervention for Personalized Medicine. A Prospective Pilot Study Demonstrating Noninvasive Calibration-Free Glucose Measurement. Dose Accuracy and Reliability of a Connected Insulin Pen System. Effects of Personalized DiaBetes TEXT Messaging Combined with Peer Support Education on Patients With Type 2 Diabetes: A Randomized Controlled Trial.
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