Literature DB >> 25385947

Perceived accuracy in continuous glucose monitoring: understanding the impact on patients.

William H Polonsky1, Danielle Hessler2.   

Abstract

In terms of accuracy and reliability, the technology of real-time (RT) continuous glucose monitoring (CGM) is advancing quickly. Still, current devices are imperfect; as a result, patient complaints and frustrations are not uncommon. How do patients' perceptions of device accuracy affect their experience with RT-CGM? In this article, we argue that patients' satisfaction, or dissatisfaction, with accuracy has a major impact on how much they are likely to trust the device and how confident they may feel in using the information that is displayed. The available data suggest that greater satisfaction with accuracy is linked to better RT-CGM adherence, more confident and aggressive insulin adjustments, improvements in quality of life, reduced reliance on self-monitoring of blood glucose, and--potentially--less alarm fatigue. As the technology continues to mature, RT-CGM will become increasingly accurate and patients' confidence and trust in the available devices will likely grow, leading to greater uptake and more proactive use of RT-CGM.
© 2014 Diabetes Technology Society.

Entities:  

Keywords:  accuracy; continuous glucose monitoring; patient satisfaction; trust

Mesh:

Year:  2014        PMID: 25385947      PMCID: PMC4604572          DOI: 10.1177/1932296814559302

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


  16 in total

1.  Real-life utilization of real-time continuous glucose monitoring: the complete picture.

Authors:  Neesha Ramchandani; Sandeep Arya; Svetlana Ten; Sonal Bhandari
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

2.  Help! Someone is beeping...

Authors:  Ruth Roberts; John Walsh; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2014-05-12

Review 3.  Personal continuous glucose monitoring (CGM) in diabetes management: review of the literature and implementation for practical use.

Authors:  M Joubert; Y Reznik
Journal:  Diabetes Res Clin Pract       Date:  2011-12-28       Impact factor: 5.602

4.  A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor (Dexcom G4 system) and Enlite sensor (guardian REAL-time system) tested simultaneously in ambulatory patients with type 1 diabetes.

Authors:  Viktorija Matuleviciene; Jeffrey I Joseph; Mervi Andelin; Irl B Hirsch; Stig Attvall; Aldina Pivodic; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; Marcus Lind
Journal:  Diabetes Technol Ther       Date:  2014-09-18       Impact factor: 6.118

5.  FreeStyle navigator continuous glucose monitoring system use in children with type 1 diabetes using glargine-based multiple daily dose regimens: results of a pilot trial Diabetes Research in Children Network (DirecNet) Study Group.

Authors:  Stuart Weinzimer; Dongyuan Xing; Michael Tansey; Rosanna Fiallo-Scharer; Nelly Mauras; Tim Wysocki; Roy Beck; William Tamborlane; Katrina Ruedy
Journal:  Diabetes Care       Date:  2007-12-20       Impact factor: 19.112

6.  What is so tough about self-monitoring of blood glucose? Perceived obstacles among patients with Type 2 diabetes.

Authors:  W H Polonsky; L Fisher; D Hessler; S V Edelman
Journal:  Diabet Med       Date:  2013-07-19       Impact factor: 4.359

7.  Continuous glucose monitoring and intensive treatment of type 1 diabetes.

Authors:  William V Tamborlane; Roy W Beck; Bruce W Bode; Bruce Buckingham; H Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A Fox; Lisa K Gilliam; Irl B Hirsch; Elbert S Huang; Craig Kollman; Aaron J Kowalski; Lori Laffel; Jean M Lawrence; Joyce Lee; Nelly Mauras; Michael O'Grady; Katrina J Ruedy; Michael Tansey; Eva Tsalikian; Stuart Weinzimer; Darrell M Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing
Journal:  N Engl J Med       Date:  2008-09-08       Impact factor: 91.245

8.  "Turn it off!": diabetes device alarm fatigue considerations for the present and the future.

Authors:  Joseph P Shivers; Linda Mackowiak; Henry Anhalt; Howard Zisser
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

9.  Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data.

Authors:  John C Pickup; Suzanne C Freeman; Alex J Sutton
Journal:  BMJ       Date:  2011-07-07

10.  Factors determining patients' intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing.

Authors:  Syed Ghulam Sarwar Shah; Julie Barnett; Jasna Kuljis; Kate Hone; Richard Kaczmarski
Journal:  Patient Prefer Adherence       Date:  2012-12-28       Impact factor: 2.711

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  30 in total

1.  Are Systematic Reviews and Meta-Analyses Appropriate Tools for Assessing Evolving Medical Device Technologies?

Authors:  David Price; Claudia Graham; Christopher G Parkin; Thomas A Peyser
Journal:  J Diabetes Sci Technol       Date:  2015-09-29

2.  Hypoglycemia Reduction and Accuracy of Continuous Glucose Monitoring.

Authors:  Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2015-05-15       Impact factor: 6.118

3.  Analysis: The Accuracy and Efficacy of the Dexcom G4 Platinum Continuous Glucose Monitoring System.

Authors:  Cornelis A J van Beers; J H DeVries
Journal:  J Diabetes Sci Technol       Date:  2015-04-27

Review 4.  Continuous Glucose Monitoring and Global Reimbursement: An Update.

Authors:  Claudia Graham
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

5.  Impact of Human Factors Testing on Medical Device Design: Validation of an Automated CGM Sensor Applicator.

Authors:  Robert North; Christine Pospisil; Ryan J Clukey; Christopher G Parkin
Journal:  J Diabetes Sci Technol       Date:  2019-02-14

6.  Development of a Novel Tool to Support Engagement With Continuous Glucose Monitoring Systems and Optimize Outcomes.

Authors:  Katharine D Barnard-Kelly; William H Polonsky
Journal:  J Diabetes Sci Technol       Date:  2019-05-21

7.  Performance and Usability of Three Systems for Continuous Glucose Monitoring in Direct Comparison.

Authors:  Guido Freckmann; Manuela Link; Ulrike Kamecke; Cornelia Haug; Bernhard Baumgartner; Raimund Weitgasser
Journal:  J Diabetes Sci Technol       Date:  2019-02-07

8.  Decisions in the Psychology of Glucose Monitoring.

Authors:  Gérard Reach
Journal:  J Diabetes Sci Technol       Date:  2019-06-14

9.  Continuous Glucose Monitoring Associated With Less Diabetes-Specific Emotional Distress and Lower A1c Among Adolescents With Type 1 Diabetes.

Authors:  Anthony T Vesco; Aneta M Jedraszko; Kimberly P Garza; Jill Weissberg-Benchell
Journal:  J Diabetes Sci Technol       Date:  2018-03-29

10.  Analysis of "Performance of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System in Pediatric Participants With Type 1 Diabetes".

Authors:  Ralph Ziegler
Journal:  J Diabetes Sci Technol       Date:  2018-11-19
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