Literature DB >> 26784130

Reimbursement for Continuous Glucose Monitoring.

Lutz Heinemann1, J Hans DeVries2.   

Abstract

Continuous glucose monitoring (CGM) systems have been available for more than 15 years by now. However, market uptake is relatively low in most countries; in other words, relatively few patients with diabetes use CGM systems regularly. One major reason for the reluctance of patients to use CGM systems is the costs associated (i.e., in most countries no reimbursement is provided by the health insurance companies). In case reimbursement is in place, like in the United States, only certain patient groups get reimbursement that fulfills strict indications. This situation is somewhat surprising in view of the mounting evidence for benefits of CGM usage from clinical trials: most meta-analyses of these trials consistently show a clinically relevant improvement of glucose control associated with a reduction in hypoglycemic events. More recent trials with CGM systems with an improved CGM technology showed even more impressive benefits, especially if CGM systems are used in different combinations with an insulin pump (e.g., with automated bolus calculators and low glucose suspend features). Nevertheless, sufficient evidence is not available for all patient groups, and more data on cost-efficacy are needed. In addition, good data from real-world studies/registers documenting the benefits of CGM usage under daily life conditions would be of help to convince healthcare systems to cover the costs of CGM systems. In view of the ongoing improvements in established needle-type CGM systems, the fact that new CGM technology will come to the market soon (e.g., implantable sensors), that CGM-like systems are quite successfully at least in certain markets (like the flash glucose monitoring systems), and that the first artificial pancreas systems will come to the market in the next few years, there is a need to make sure that this major improvement in diabetes therapy becomes more widely available for patients with diabetes, for which better reimbursement is essential.

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Year:  2016        PMID: 26784130      PMCID: PMC4717510          DOI: 10.1089/dia.2015.0296

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  15 in total

1.  Effectiveness of sensor-augmented insulin-pump therapy in type 1 diabetes.

Authors:  Richard M Bergenstal; William V Tamborlane; Andrew Ahmann; John B Buse; George Dailey; Stephen N Davis; Carol Joyce; Tim Peoples; Bruce A Perkins; John B Welsh; Steven M Willi; Michael A Wood
Journal:  N Engl J Med       Date:  2010-06-29       Impact factor: 91.245

2.  Prevention of hypoglycemia by using low glucose suspend function in sensor-augmented pump therapy.

Authors:  Thomas Danne; Olga Kordonouri; Martin Holder; Holger Haberland; Sven Golembowski; Kerstin Remus; Sara Bläsig; Tanja Wadien; Susanne Zierow; Reinhard Hartmann; Andreas Thomas
Journal:  Diabetes Technol Ther       Date:  2011-08-09       Impact factor: 6.118

3.  Sensor-augmented pump therapy lowers HbA(1c) in suboptimally controlled Type 1 diabetes; a randomized controlled trial.

Authors:  J Hermanides; K Nørgaard; D Bruttomesso; C Mathieu; A Frid; C M Dayan; P Diem; C Fermon; I M E Wentholt; J B L Hoekstra; J H DeVries
Journal:  Diabet Med       Date:  2011-10       Impact factor: 4.359

4.  Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline.

Authors:  David C Klonoff; Bruce Buckingham; Jens S Christiansen; Victor M Montori; William V Tamborlane; Robert A Vigersky; Howard Wolpert
Journal:  J Clin Endocrinol Metab       Date:  2011-10       Impact factor: 5.958

5.  The cost-effectiveness of continuous glucose monitoring in type 1 diabetes.

Authors:  Elbert S Huang; Michael O'Grady; Anirban Basu; Aaron Winn; Priya John; Joyce Lee; David Meltzer; Craig Kollman; Lori Laffel; William Tamborlane; Stuart Weinzimer; Tim Wysocki
Journal:  Diabetes Care       Date:  2010-03-23       Impact factor: 17.152

6.  Sensor-augmented insulin pump therapy: results of the first randomized treat-to-target study.

Authors:  Irl B Hirsch; Jill Abelseth; Bruce W Bode; Jerome S Fischer; Francine R Kaufman; John Mastrototaro; Christopher G Parkin; Howard A Wolpert; Bruce A Buckingham
Journal:  Diabetes Technol Ther       Date:  2008-10       Impact factor: 6.118

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

Review 8.  Continuous glucose monitoring systems for type 1 diabetes mellitus.

Authors:  Miranda Langendam; Yoeri M Luijf; Lotty Hooft; J Hans Devries; Aart H Mudde; Rob J P M Scholten
Journal:  Cochrane Database Syst Rev       Date:  2012-01-18

9.  Effect of continuous glucose monitoring on hypoglycemia in type 1 diabetes.

Authors:  Tadej Battelino; Moshe Phillip; Natasa Bratina; Revital Nimri; Per Oskarsson; Jan Bolinder
Journal:  Diabetes Care       Date:  2011-02-19       Impact factor: 19.112

10.  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
View more
  10 in total

Review 1.  Continuous Glucose Monitoring and Global Reimbursement: An Update.

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

Review 2.  Interdisciplinary approach to compensation of hypoglycemia in diabetic patients with chronic heart failure.

Authors:  Yana Anfinogenova; Elena V Grakova; Maria Shvedova; Kristina V Kopieva; Alexander T Teplyakov; Sergey V Popov
Journal:  Heart Fail Rev       Date:  2018-05       Impact factor: 4.214

Review 3.  Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes.

Authors:  Guillermo E Umpierrez; Boris P Kovatchev
Journal:  Am J Med Sci       Date:  2018-10-02       Impact factor: 2.378

4.  Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications.

Authors:  Martina Vettoretti; Giacomo Cappon; Giada Acciaroli; Andrea Facchinetti; Giovanni Sparacino
Journal:  J Diabetes Sci Technol       Date:  2018-05-22

5.  Glucose-sensitive silicone hydrogel contact lens toward tear glucose monitoring.

Authors:  Ramachandram Badugu; Edward Albert Reece; Joseph R Lakowicz
Journal:  J Biomed Opt       Date:  2018-05       Impact factor: 3.170

6.  Clinical Practice Recommendations on the Routine Use of Eversense, the First Long-Term Implantable Continuous Glucose Monitoring System.

Authors:  Dorothee Deiss; Agnieszka Szadkowska; Debbie Gordon; Akhila Mallipedhi; Ingrid Schütz-Fuhrmann; Eva Aguilera; Corina Ringsell; Christophe De Block; Concetta Irace
Journal:  Diabetes Technol Ther       Date:  2019-04-25       Impact factor: 6.118

7.  Enhancing Choices Regarding the Administration of Insulin Among Patients With Diabetes Requiring Insulin Across Countries and Implications for Future Care.

Authors:  Ileana Mardare; Stephen M Campbell; Johanna C Meyer; Israel Abebrese Sefah; Amos Massele; Brian Godman
Journal:  Front Pharmacol       Date:  2022-01-14       Impact factor: 5.810

8.  Factors Associated with Adherence to Self-Monitoring of Blood Glucose Among Young People with Type 1 Diabetes in China: A Cross-Sectional Study.

Authors:  Wencong Lv; Jiaxin Luo; Qing Long; Jundi Yang; Xin Wang; Jia Guo
Journal:  Patient Prefer Adherence       Date:  2021-12-14       Impact factor: 2.711

9.  Underestimation of hypoglycaemia using patients' diaries compared with downloaded glucometer data: an ITAS post hoc analysis.

Authors:  Raffaella Buzzetti; Riccardo C Bonadonna; Andrea Giaccari; Gianluca Perseghin; Domenico Cucinotta; Carmine Fanelli; Angelo Avogaro; Gianluca Aimaretti; Monica Larosa; Ilaria Pacchetti; Geremia B Bolli
Journal:  Diabetes Obes Metab       Date:  2021-10-22       Impact factor: 6.408

10.  Performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home.

Authors:  H Blauw; A C van Bon; R Koops; J H DeVries
Journal:  Diabetes Obes Metab       Date:  2016-04-25       Impact factor: 6.577

  10 in total

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