Literature DB >> 30580582

Reducing Glucose Meter Adverse Events by Using Reliability Growth With the FDA MAUDE Database.

Jan S Krouwer1.   

Abstract

Glucose meter evaluations are common and provide important information about glucose meter performance versus standards. Although some meters meet guidelines and others fall short in these evaluations, most results are within the A and B zones of a glucose meter error grid. Another data source that is seldom used is the FDA adverse event database (MAUDE). This database describes glucose meter malfunctions and injury as reported by actual users and returned 10 837 adverse events across all meters for the first 7 months of 2018. Reliability growth management is an established tool to reduce failure rates. A reliability growth example is presented followed by a discussion of how this tool could be applied to reduce glucose meter failure events using the MAUDE database.

Entities:  

Keywords:  Duane analysis; FRACAS; Internet of things; MAUDE; adverse events; reliability growth management

Year:  2018        PMID: 30580582      PMCID: PMC6955459          DOI: 10.1177/1932296818814457

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


  6 in total

1.  Analysis of the performance of the CONTOUR® TS Blood Glucose Monitoring System: when regulatory performance criteria are met, should we have confidence to use a medical device with all patients?

Authors:  Martha E Lyon; Andrew W Lyon
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

2.  Participatory surveillance of diabetes device safety: a social media-based complement to traditional FDA reporting.

Authors:  Kenneth D Mandl; Marion McNabb; Norman Marks; Elissa R Weitzman; Skyler Kelemen; Emma M Eggleston; Maryanne Quinn
Journal:  J Am Med Inform Assoc       Date:  2013-12-19       Impact factor: 4.497

3.  Preventable anesthesia mishaps: a study of human factors.

Authors:  J B Cooper; R S Newbower; C D Long; B McPeek
Journal:  Anesthesiology       Date:  1978-12       Impact factor: 7.892

4.  System accuracy evaluation of 27 blood glucose monitoring systems according to DIN EN ISO 15197.

Authors:  Guido Freckmann; Annette Baumstark; Nina Jendrike; Eva Zschornack; Serge Kocher; Jacques Tshiananga; Frank Heister; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2010-03       Impact factor: 6.118

5.  Investigation of the Accuracy of 18 Marketed Blood Glucose Monitors.

Authors:  David C Klonoff; Joan Lee Parkes; Boris P Kovatchev; David Kerr; Wendy C Bevier; Ronald L Brazg; Mark Christiansen; Timothy S Bailey; James H Nichols; Michael A Kohn
Journal:  Diabetes Care       Date:  2018-06-13       Impact factor: 19.112

6.  A Primer to the Structure, Content and Linkage of the FDA's Manufacturer and User Facility Device Experience (MAUDE) Files.

Authors:  Lisa Garnsey Ensign; K Bretonnel Cohen
Journal:  EGEMS (Wash DC)       Date:  2017-06-14
  6 in total
  1 in total

1.  An Analysis of 2019 FDA Adverse Events for Two Insulin Pumps and Two Continuous Glucose Monitors.

Authors:  Jan S Krouwer
Journal:  J Diabetes Sci Technol       Date:  2020-09-03
  1 in total

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