Literature DB >> 32475169

COVID-19 and Diabetes: Could Diabetes Technology Research Help Pave the Way for Remote Healthcare?

Julia Fuchs1, Roman Hovorka1,2.   

Abstract

Entities:  

Keywords:  COVID-19; closed-loop; diabetes; diabetes technology; remote healthcare; telemedicine

Mesh：

Year:  2020        PMID： 32475169      PMCID： PMC7673188          DOI： 10.1177/1932296820929714

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


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  11 in total

Review 1.  Effect of artificial pancreas systems on glycaemic control in patients with type 1 diabetes: a systematic review and meta-analysis of outpatient randomised controlled trials.

Authors:  Alanna Weisman; Johnny-Wei Bai; Marina Cardinez; Caroline K Kramer; Bruce A Perkins
Journal:  Lancet Diabetes Endocrinol       Date:  2017-05-19       Impact factor: 32.069

Review 2.  Diabetes technology: improving care, improving patient-reported outcomes and preventing complications in young people with Type 1 diabetes.

Authors:  P Prahalad; M Tanenbaum; K Hood; D M Maahs
Journal:  Diabet Med       Date:  2018-02-16       Impact factor: 4.359

3.  The Impact of Continuous Glucose Monitoring on Markers of Quality of Life in Adults With Type 1 Diabetes: Further Findings From the DIAMOND Randomized Clinical Trial.

Authors:  William H Polonsky; Danielle Hessler; Katrina J Ruedy; Roy W Beck
Journal:  Diabetes Care       Date:  2017-04-07       Impact factor: 19.112

4.  Treatment satisfaction in the sensor-augmented pump therapy for A1C reduction 3 (STAR 3) trial.

Authors:  M Peyrot; R R Rubin
Journal:  Diabet Med       Date:  2013-04       Impact factor: 4.359

5.  CoYoT1 Clinic: Innovative Telemedicine Care Model for Young Adults with Type 1 Diabetes.

Authors:  Jennifer K Raymond; Cari L Berget; Kimberly A Driscoll; Kaitlin Ketchum; Cynthia Cain; John F Fred Thomas
Journal:  Diabetes Technol Ther       Date:  2016-05-19       Impact factor: 6.118

6.  Telemedicine diabetes consultations are cost-effective, and effects on essential diabetes treatment parameters are similar to conventional treatment: 7-year results from the Svendborg Telemedicine Diabetes Project.

Authors:  Klaus Levin; Jette R Madsen; Inge Petersen; Christina E Wanscher; Joergen Hangaard
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

Review 7.  Evaluating barriers to adopting telemedicine worldwide: A systematic review.

Authors:  Clemens Scott Kruse; Priyanka Karem; Kelli Shifflett; Lokesh Vegi; Karuna Ravi; Matthew Brooks
Journal:  J Telemed Telecare       Date:  2016-10-16       Impact factor: 6.184

Review 8.  Artificial pancreas treatment for outpatients with type 1 diabetes: systematic review and meta-analysis.

Authors:  Eleni Bekiari; Konstantinos Kitsios; Hood Thabit; Martin Tauschmann; Eleni Athanasiadou; Thomas Karagiannis; Anna-Bettina Haidich; Roman Hovorka; Apostolos Tsapas
Journal:  BMJ       Date:  2018-04-18

9.  Participants' Experiences of, and Views About, Daytime Use of a Day-and-Night Hybrid Closed-Loop System in Real Life Settings: Longitudinal Qualitative Study.

Authors:  Julia Lawton; Maxine Blackburn; David Rankin; Janet M Allen; Fiona M Campbell; Lalantha Leelarathna; Martin Tauschmann; Hood Thabit; Malgorzata E Wilinska; Daniela Elleri; Roman Hovorka
Journal:  Diabetes Technol Ther       Date:  2019-02-05       Impact factor: 6.118

10.  What Training, Support, and Resourcing Do Health Professionals Need to Support People Using a Closed-Loop System? A Qualitative Interview Study with Health Professionals Involved in the Closed Loop from Onset in Type 1 Diabetes (CLOuD) Trial.

Authors:  Barbara Kimbell; David Rankin; Nicole L Ashcroft; Lidiya Varghese; Janet M Allen; Charlotte K Boughton; Fiona Campbell; Atrayee Ghatak; Tabitha Randell; Rachel E J Besser; Nicola Trevelyan; Roman Hovorka; Julia Lawton
Journal:  Diabetes Technol Ther       Date:  2020-03-06       Impact factor: 6.118
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  6 in total

1.  How to Best Protect People With Diabetes From the Impact of SARS-CoV-2: Report of the International COVID-19 and Diabetes Summit.

Authors:  Jennifer Y Zhang; Trisha Shang; David Ahn; Kong Chen; Gerard Coté; Juan Espinoza; Carlos E Mendez; Elias K Spanakis; Bithika Thompson; Amisha Wallia; Lauren E Wisk; David Kerr; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-01-21

2.  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

3.  The Impact of Telemonitoring on Improving Glycemic and Metabolic Control in Previously Lost-to-Follow-Up Patients with Type 2 Diabetes Mellitus: A Single-Center Interventional Study in the United Arab Emirates.

Authors:  Muhammad Hamed Farooqi; Dima Kamal Abdelmannan; Manal Mubarak Al Buflasa; Moataz Abdalla Abbas Hamed; Maxon Xavier; Tessa Joyce Santos Cadiz; Faisal Amir Nawaz
Journal:  Int J Clin Pract       Date:  2022-04-20       Impact factor: 3.149

4.  Shaping Workflows in Digital and Remote Diabetes Care During the COVID-19 Pandemic: A Service Design Approach.

Authors:  Katarina Braune; Karina Boss; Jessica Schmidt-Herzel; Katarzyna Anna Gajewska; Axel Thieffry; Lilian Schulze; Barbara Posern; Klemens Raile
Journal:  JMIR Mhealth Uhealth       Date:  2020-12-08       Impact factor: 4.773

5.  Telemedicine experiences at a pediatric endocrinology clinic during the COVID-19 pandemic.

Authors:  Yasemin Denkboy Ongen; Erdal Eren; Kadriye Cansu Sahin; Meltem Buhur Pirimoglu; Halil Saglam; Omer Tarim
Journal:  Ir J Med Sci       Date:  2021-06-07       Impact factor: 2.089

6.  User-Centered Design of A Novel Risk Prediction Behavior Change Tool Augmented With an Artificial Intelligence Engine (MyDiabetesIQ): A Sociotechnical Systems Approach.

Authors:  Cathy Shields; Scott G Cunningham; Deborah J Wake; Evridiki Fioratou; Doogie Brodie; Sam Philip; Nicholas T Conway
Journal:  JMIR Hum Factors       Date:  2022-02-08
  6 in total

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