Literature DB >> 32905711

The Digital/Virtual Diabetes Clinic: The Future Is Now-Recommendations from an International Panel on Diabetes Digital Technologies Introduction.

Moshe Phillip1,2, Richard M Bergenstal3, Kelly L Close4, Thomas Danne5, Satish K Garg6, Lutz Heinemann7, Irl B Hirsch8, Boris P Kovatchev9, Lori M Laffel10, Viswanathan Mohan11, Christopher G Parkin12, Tadej Battelino13.   

Abstract

The increasing prevalence of diabetes, combined with a growing global shortage of health care professionals (HCP), necessitates the need to develop new approaches to diabetes care delivery to expand access to care, lessen the burden on people with diabetes, improve efficiencies, and reduce the unsustainable financial liability on health systems and payers. Use of digital diabetes technologies and telehealth protocols within a digital/virtual diabetes clinic has the potential to address these challenges. However, several issues must be resolved to move forward. In February 2020, organizers of the Advanced Technologies & Treatments for Diabetes Annual Conference convened an international panel of HCP, researchers, patient advocates, and industry representatives to review the status of digital diabetes technologies, characterize deficits in current technologies, and identify issues for consideration. Since that meeting, the importance of using telehealth and digital diabetes technologies has been demonstrated amid the global coronavirus disease (COVID-19) pandemic. This article summarizes the panel's discussion of the opportunities, obstacles, and requisites for advancing the use of these technologies as a standard of care for the management of diabetes.

Entities:  

Keywords:  AGP; Connected devices; Digital tools; Telemedicine; Type 1 diabetes; Type 2 diabetes

Mesh:

Year:  2020        PMID: 32905711      PMCID: PMC8098767          DOI: 10.1089/dia.2020.0375

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


  63 in total

Review 1.  Poor glycaemic control in type 2 diabetes: a conspiracy of disease, suboptimal therapy and attitude.

Authors:  T M Wallace; D R Matthews
Journal:  QJM       Date:  2000-06

2.  Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes.

Authors:  Sue A Brown; Boris P Kovatchev; Dan Raghinaru; John W Lum; Bruce A Buckingham; Yogish C Kudva; Lori M Laffel; Carol J Levy; Jordan E Pinsker; R Paul Wadwa; Eyal Dassau; Francis J Doyle; Stacey M Anderson; Mei Mei Church; Vikash Dadlani; Laya Ekhlaspour; Gregory P Forlenza; Elvira Isganaitis; David W Lam; Craig Kollman; Roy W Beck
Journal:  N Engl J Med       Date:  2019-10-16       Impact factor: 91.245

3.  Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial.

Authors:  Jan Bolinder; Ramiro Antuna; Petronella Geelhoed-Duijvestijn; Jens Kröger; Raimund Weitgasser
Journal:  Lancet       Date:  2016-09-12       Impact factor: 79.321

4.  The Silver Lining to COVID-19: Avoiding Diabetic Ketoacidosis Admissions with Telehealth.

Authors:  Anne L Peters; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2020-05-05       Impact factor: 6.118

5.  A Digital-First Model of Diabetes Care.

Authors:  Joseph A Cafazzo
Journal:  Diabetes Technol Ther       Date:  2019-06       Impact factor: 6.118

6.  Effect of sensor-augmented insulin pump therapy and automated insulin suspension vs standard insulin pump therapy on hypoglycemia in patients with type 1 diabetes: a randomized clinical trial.

Authors:  Trang T Ly; Jennifer A Nicholas; Adam Retterath; Ee Mun Lim; Elizabeth A Davis; Timothy W Jones
Journal:  JAMA       Date:  2013-09-25       Impact factor: 56.272

7.  Initiation of insulin treatment after 70 years of age: patient status 2 years later.

Authors:  F Elgrably; D Costagliola; A J Chwalow; P Varenne; G Slama; G Tchobroutsky
Journal:  Diabet Med       Date:  1991-10       Impact factor: 4.359

8.  Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Sahar Salehi; Alireza Olyaeemanesh; Mohammadreza Mobinizadeh; Ensieh Nasli-Esfahani; Hossein Riazi
Journal:  J Diabetes Metab Disord       Date:  2020-01-10

Review 9.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

10.  Continuous glucose monitoring in pregnant women with type 1 diabetes (CONCEPTT): a multicentre international randomised controlled trial.

Authors:  Denice S Feig; Lois E Donovan; Rosa Corcoy; Kellie E Murphy; Stephanie A Amiel; Katharine F Hunt; Elizabeth Asztalos; Jon F R Barrett; J Johanna Sanchez; Alberto de Leiva; Moshe Hod; Lois Jovanovic; Erin Keely; Ruth McManus; Eileen K Hutton; Claire L Meek; Zoe A Stewart; Tim Wysocki; Robert O'Brien; Katrina Ruedy; Craig Kollman; George Tomlinson; Helen R Murphy
Journal:  Lancet       Date:  2017-09-15       Impact factor: 79.321

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  14 in total

1.  [COULD THE COVID-19 PANDEMIC BE AN OPPORTUNITY FOR IMPROVEMENT OF OUR CARE, TRAINING AND RESEARCH ACTIVITIES?]

Authors:  Javier Escalada; Antonio Pérez
Journal:  Endocrinol Diabetes Nutr       Date:  2021-01-27

2.  Virtual visits and the use of continuous glucose monitoring for diabetes care in the era of COVID-19.

Authors:  Patricia Underwood; Jennifer Hibben; Jolynn Gibson; Monica DiNardo
Journal:  J Am Assoc Nurse Pract       Date:  2021-12-14       Impact factor: 1.165

3.  Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Type 1 Diabetes: the Pilot 4T Study.

Authors:  Priya Prahalad; Victoria Y Ding; Dessi P Zaharieva; Ananta Addala; Ramesh Johari; David Scheinker; Manisha Desai; Korey Hood; David M Maahs
Journal:  J Clin Endocrinol Metab       Date:  2022-03-24       Impact factor: 5.958

4.  Clinical Outcomes of Remote Training for Advanced Diabetes Technologies During the COVID-19 Pandemic.

Authors:  Lutgarda Bozzetto; Raffaele De Angelis; Ilaria Calabrese; Clemente Giglio; Giovanni Annuzzi
Journal:  J Diabetes Sci Technol       Date:  2021-10-09

Review 5.  Pediatric Endocrinology in the Time of COVID-19: Considerations for the Rapid Implementation of Telemedicine and Management of Pediatric Endocrine Conditions.

Authors:  Molly O Regelmann; Rushika Conroy; Evgenia Gourgari; Anshu Gupta; Ines Guttmann-Bauman; Ryan Heksch; Manmohan K Kamboj; Sowmya Krishnan; Amit Lahoti; Kristal Matlock
Journal:  Horm Res Paediatr       Date:  2021-01-22       Impact factor: 2.852

6.  COULD THE COVID-19 PANDEMIC BE AN OPPORTUNITY FOR IMPROVEMENT OF OUR CARE, TRAINING AND RESEARCH ACTIVITIES?

Authors:  Javier Escalada; Antonio Pérez
Journal:  Endocrinol Diabetes Nutr (Engl Ed)       Date:  2021-02       Impact factor: 1.417

7.  Telemedicine and COVID-19 pandemic: The perfect storm to mark a change in diabetes care. Results from a world-wide cross-sectional web-based survey.

Authors:  Elisa Giani; Klemen Dovc; Tiago Jeronimo Dos Santos; Agata Chobot; Katarina Braune; Roque Cardona-Hernandez; Carine De Beaufort; Andrea E Scaramuzza
Journal:  Pediatr Diabetes       Date:  2021-11-16       Impact factor: 4.866

8.  Population-level management of type 1 diabetes via continuous glucose monitoring and algorithm-enabled patient prioritization: Precision health meets population health.

Authors:  Johannes O Ferstad; Jacqueline J Vallon; Daniel Jun; Angela Gu; Anastasiya Vitko; Dianelys P Morales; Jeannine Leverenz; Ming Yeh Lee; Brianna Leverenz; Christos Vasilakis; Esli Osmanlliu; Priya Prahalad; David M Maahs; Ramesh Johari; David Scheinker
Journal:  Pediatr Diabetes       Date:  2021-09-01       Impact factor: 3.409

9.  Hemoglobin A1c Patterns of Youth With Type 1 Diabetes 10 Years Post Diagnosis From 3 Continents.

Authors:  Jennifer L Sherr; Anke Schwandt; Helen Phelan; Mark A Clements; Reinhard W Holl; Paul Z Benitez-Aguirre; Kellee M Miller; Joachim Woelfle; Thomas Dover; David M Maahs; Elke Fröhlich-Reiterer; Maria E Craig
Journal:  Pediatrics       Date:  2021-08       Impact factor: 9.703

Review 10.  Telemonitoring, Telemedicine and Time in Range During the Pandemic: Paradigm Change for Diabetes Risk Management in the Post-COVID Future.

Authors:  Thomas Danne; Catarina Limbert; Manel Puig Domingo; Stefano Del Prato; Eric Renard; Pratik Choudhary; Alexander Seibold
Journal:  Diabetes Ther       Date:  2021-08-02       Impact factor: 2.945

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