Literature DB >> 33106043

Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020.

Timm Roos1, Sabine Hochstadt2, Winfried Keuthage3, Jens Kröger4, Andreas Lueg5, Hansjörg Mühlen6, Lisa Schütte7, Nikolaus Scheper8, Dominic Ehrmann1, Norbert Hermanns1, Lutz Heinemann9, Bernhard Kulzer1.   

Abstract

BACKGROUND: New diagnostic and therapeutic technologies are increasingly changing the treatment of people with diabetes (PWD), along with increased usage of digital tools. To date, however, there is little data to which level and how diabetologists and PWD implement digitalization. Also, not much is known about the view of diabetologists on the current status and future developments in this respect.
METHOD: In an online survey, diabetologists working in clinics and practices across Germany provided responses regarding their view on digitalization and the adoption of new technologies in diabetology to 56 questions. These comments reflect the opinion of several experts about the current importance and use of specific digital/technological topics.
RESULTS: Overall, 326 diabetologists took part in the survey. They reported a positive attitude (75.8%) toward new technologies and digitalization, and they see more advantages rather than disadvantages. Younger age of the diabetologists was significantly associated with a more positive attitude (r = -0.176; P < .01), and there was no gender effect (P = .738). On average, in each practice, 5.5% of PWD are using an insulin pump for therapy, 4.8% a real-time continuous glucose monitoring system, 16.9% an intermittent scanning continuous glucose monitoring system, and 0.3% an automated insulin delivery (AID) system. With respect to digitalization, the three most important current topics are software for glucose data analysis (average rank on a scale from one to six, with one being the most important: 2.4), compatibility with other systems (2.9), and AID systems (3.8)).
CONCLUSIONS: This survey, which is going to be repeated annually, showed that the diabetologists who participated predominantly have a positive attitude toward new technologies and digital applications and were aware of the associated advantages. However, perceived disadvantages need to be addressed to enable wider adoption of new technologies and digital solutions.

Entities:  

Keywords:  AID; diabetes technology; digitalization; insulin pumps; iscCGM; rtCGM

Mesh:

Substances:

Year:  2020        PMID: 33106043      PMCID: PMC8875052          DOI: 10.1177/1932296820965553

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


  20 in total

Review 1.  Digital health technology and mobile devices for the management of diabetes mellitus: state of the art.

Authors:  Rongzi Shan; Sudipa Sarkar; Seth S Martin
Journal:  Diabetologia       Date:  2019-04-08       Impact factor: 10.122

Review 2.  A Review of Technology-Assisted Interventions for Diabetes Prevention.

Authors:  Shira Grock; Jeong-Hee Ku; Julie Kim; Tannaz Moin
Journal:  Curr Diab Rep       Date:  2017-09-23       Impact factor: 4.810

Review 3.  Diabetes and technology in 2030: a utopian or dystopian future?

Authors:  D Kerr; C Axelrod; C Hoppe; D C Klonoff
Journal:  Diabet Med       Date:  2018-02-09       Impact factor: 4.359

Review 4.  Standards of medical care for type 2 diabetes in China 2019.

Authors:  Weiping Jia; Jianping Weng; Dalong Zhu; Linong Ji; Juming Lu; Zhiguang Zhou; Dajin Zou; Lixin Guo; Qiuhe Ji; Li Chen; Liming Chen; Jingtao Dou; Xiaohui Guo; Hongyu Kuang; Ling Li; Qifu Li; Xiaoying Li; Jing Liu; Xingwu Ran; Lixin Shi; Guangyao Song; Xinhua Xiao; Liyong Yang; Zhigang Zhao
Journal:  Diabetes Metab Res Rev       Date:  2019-05-29       Impact factor: 4.876

5.  Effectiveness of Digital Interventions for Improving Glycemic Control in Persons with Poorly Controlled Type 2 Diabetes: A Systematic Review, Meta-analysis, and Meta-regression Analysis.

Authors:  Mihiretu M Kebede; Hajo Zeeb; Manuela Peters; Thomas L Heise; Claudia R Pischke
Journal:  Diabetes Technol Ther       Date:  2018-09-26       Impact factor: 6.118

6.  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

7.  Making sense of a new technology in clinical practice: a qualitative study of patient and physician perspectives.

Authors:  Regitze A S Pals; Ulla M Hansen; Clea B Johansen; Christian S Hansen; Marit E Jørgensen; Jesper Fleischer; Ingrid Willaing
Journal:  BMC Health Serv Res       Date:  2015-09-22       Impact factor: 2.655

8.  Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Bráulio Cezar Bonoto; Vânia Eloisa de Araújo; Isabella Piassi Godói; Lívia Lovato Pires de Lemos; Brian Godman; Marion Bennie; Leonardo Mauricio Diniz; Augusto Afonso Guerra Junior
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-01       Impact factor: 4.773

9.  A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study.

Authors:  Angela Ym Leung; Xin Yi Xu; Pui Hing Chau; Yee Tak Esther Yu; Mike Kt Cheung; Carlos Kh Wong; Daniel Yt Fong; Janet Yh Wong; Cindy Lk Lam
Journal:  JMIR Mhealth Uhealth       Date:  2018-05-24       Impact factor: 4.773

Review 10.  Utility of Real-Time and Retrospective Continuous Glucose Monitoring in Patients with Type 2 Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials.

Authors:  Satoshi Ida; Ryutaro Kaneko; Kazuya Murata
Journal:  J Diabetes Res       Date:  2019-01-15       Impact factor: 4.011

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  2 in total

Review 1.  Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes.

Authors:  Norbert Hermanns; Dominic Ehrmann; Amit Shapira; Bernhard Kulzer; Andreas Schmitt; Lori Laffel
Journal:  Diabetologia       Date:  2022-04-05       Impact factor: 10.460

2.  Associations of Time in Range and Other Continuous Glucose Monitoring-Derived Metrics With Well-Being and Patient-Reported Outcomes: Overview and Trends.

Authors:  Dominic Ehrmann; Lilli Priesterroth; Andreas Schmitt; Bernhard Kulzer; Norbert Hermanns
Journal:  Diabetes Spectr       Date:  2021-05-25
  2 in total

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