Literature DB >> 28745099

A New, Wireless-enabled Blood Glucose Monitoring System That Links to a Smart Mobile Device: Accuracy and User Performance Evaluation.

Mark Christiansen1, Carmine Greene2, Scott Pardo2, Mary Ellen Warchal-Windham2, Bern Harrison2, Robert Morin2, Timothy S Bailey3.   

Abstract

BACKGROUND: These studies investigated the accuracy of the new Contour®Next ONE blood glucose monitoring system (BGMS) that is designed to sync with the Contour™ Diabetes app on a smartphone or tablet.
METHODS: A laboratory study tested fingertip capillary blood samples from 100 subjects in duplicate using 3 test strip lots, based on ISO 15197:2013 Section 6.3 analytical accuracy standards. A clinical study assessed accuracy per ISO 15197:2013 Section 8 criteria. Subjects with (n = 333) or without (n = 43) diabetes and who had not used the BGMS previously were enrolled. Each subject performed a self-test using the BGMS, which was repeated by a site staff member. Alternate site tests and venipunctures were also performed for analysis. A questionnaire was provided to assess user feedback on ease of use.
RESULTS: In the laboratory study, 100% (600/600) of combined results for all 3 test strip lots met ISO 15197:2013 Section 6.3 accuracy criteria. In the clinical study, among subjects with diabetes, 99.4% (327/329) of subject self-test results, 99.7% (331/332) of results obtained by study staff, 97.2% (309/318) of subject palm results, and 100% (330/330) of venous results met ISO 15197:2013 Section 8 accuracy criteria. Moreover, 97.6% (321/329) of subject self-test results were within ±10 mg/dl (±0.6 mmol/L) or ±10% of the YSI reference result. Questionnaire results indicated that most subjects considered the system easy to use.
CONCLUSIONS: The BGMS exceeded ISO 15197:2013 accuracy criteria in the laboratory and in a clinical setting.

Entities:  

Keywords:  ISO 15197:2013; accuracy; blood glucose monitoring system; mobile app; self-monitoring of blood glucose

Mesh:

Substances:

Year:  2017        PMID: 28745099      PMCID: PMC5505433          DOI: 10.1177/1932296817691301

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  11 in total

1.  A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose.

Authors:  J L Parkes; S L Slatin; S Pardo; B H Ginsberg
Journal:  Diabetes Care       Date:  2000-08       Impact factor: 19.112

2.  Self-monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry.

Authors:  A J Karter; L M Ackerson; J A Darbinian; R B D'Agostino; A Ferrara; J Liu; J V Selby
Journal:  Am J Med       Date:  2001-07       Impact factor: 4.965

Review 3.  Mobile applications for diabetes self-management: status and potential.

Authors:  Omar El-Gayar; Prem Timsina; Nevine Nawar; Wael Eid
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

4.  ROSES: role of self-monitoring of blood glucose and intensive education in patients with Type 2 diabetes not receiving insulin. A pilot randomized clinical trial.

Authors:  M Franciosi; G Lucisano; F Pellegrini; A Cantarello; A Consoli; L Cucco; R Ghidelli; G Sartore; L Sciangula; A Nicolucci
Journal:  Diabet Med       Date:  2011-07       Impact factor: 4.359

Review 5.  A Digital Ecosystem of Diabetes Data and Technology: Services, Systems, and Tools Enabled by Wearables, Sensors, and Apps.

Authors:  Nathaniel D Heintzman
Journal:  J Diabetes Sci Technol       Date:  2015-12-20

Review 6.  Diabetes management via mobile phones: a systematic review.

Authors:  Bree Holtz; Carolyn Lauckner
Journal:  Telemed J E Health       Date:  2012-02-22       Impact factor: 3.536

7.  Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

Authors:  X Liang; Q Wang; X Yang; J Cao; J Chen; X Mo; J Huang; L Wang; D Gu
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

Review 8.  The impact of mobile monitoring technologies on glycosylated hemoglobin in diabetes: a systematic review.

Authors:  Justine Baron; Hayley McBain; Stanton Newman
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

Review 9.  The current status of mHealth for diabetes: will it be the next big thing?

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

Review 10.  Computer-based interventions to improve self-management in adults with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Kingshuk Pal; Sophie V Eastwood; Susan Michie; Andrew Farmer; Maria L Barnard; Richard Peacock; Bindie Wood; Phil Edwards; Elizabeth Murray
Journal:  Diabetes Care       Date:  2014-06       Impact factor: 19.112

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  8 in total

1.  Assessment of System Accuracy, Intermediate Measurement Precision, and Measurement Repeatability of a Blood Glucose Monitoring System Based on ISO 15197.

Authors:  Nina Jendrike; Annette Baumstark; Stefan Pleus; Jochen Mende; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2018-12-14

2.  Mobile technology for self-monitoring of blood glucose among patients with type 2 diabetes mellitus.

Authors:  Steven S Coughlin
Journal:  Mhealth       Date:  2017-10-30

3.  Accuracy and User Performance of a New Blood Glucose Monitoring System.

Authors:  Leslie Klaff; Pragathi Shelat; Diana Zondorak; Amy Wayland-Smith; Phil Vernes; James M Richardson
Journal:  J Diabetes Sci Technol       Date:  2020-11-26

Review 4.  Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria.

Authors:  Jessica Hanae Zafra-Tanaka; David Beran; Beatrice Vetter; Rangarajan Sampath; Antonio Bernabe-Ortiz
Journal:  J Diabetes Sci Technol       Date:  2021-03-09

Review 5.  Disruption in the diabetic device care market.

Authors:  Utkarsh Ojha; Raihan Mohammed
Journal:  Med Devices (Auckl)       Date:  2018-02-02

6.  Improved Glycemic Control in a Patient Group Performing 7-Point Profile Self-Monitoring of Blood Glucose and Intensive Data Documentation: An Open-Label, Multicenter, Observational Study.

Authors:  Jochen Sieber; Frank Flacke; Manuela Link; Cornelia Haug; Guido Freckmann
Journal:  Diabetes Ther       Date:  2017-09-14       Impact factor: 2.945

7.  User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors.

Authors:  Guido Freckmann; Nina Jendrike; Annette Baumstark; Stefan Pleus; Christina Liebing; Cornelia Haug
Journal:  Diabetes Ther       Date:  2018-03-03       Impact factor: 2.945

8.  Patient Satisfaction and Clinical Efficacy of Novel Blood Glucose Meters Featuring Color Range Indicators in Patients With Type 2 Diabetes: A Prospective Study.

Authors:  Ayman Al Hayek; Asirvatham Alwin Robert; Mohamed Al Dawish
Journal:  Cureus       Date:  2020-10-27
  8 in total

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