Literature DB >> 11911170

What we can really expect from telemedicine in intensive diabetes treatment: results from 3-year study on type 1 pregnant diabetic women.

J M Wojcicki1, P Ladyzynski, J Krzymien, E Jozwicka, J Blachowicz, E Janczewska, K Czajkowski, W Karnafel.   

Abstract

Existing standards of the management of the diabetic patients are not efficient enough, and further improvement is needed. The major objective of this paper is to present and discuss the therapeutic effectiveness of an intensive care telematic system designed and applied for intensive treatment of pregnant type 1 diabetic women. The developed system operates automatically, every night transferring all the data recorded during the day in the patient's glucometer memory to a central clinical unit. In order to assess the efficiency of the designed and developed system, a 3-year randomized prospective clinical trial was conducted, using the study group and the control group, each consisting of 15 pregnant type 1 diabetic women. All patients were treated by the same diabetologist. In the presented analysis, two indices calculated weekly were used for the assessment of glycemic control: MBG represents mean blood glucose level, and the universal J-index is sensitive to the glycemic level and glycemic variations. The most important results from the study concern: (a) better glycemic control in the study group in comparison with the control group during the course of treatment, as assessed by the average differences of the MBG and J indices calculated weekly (n = 24) (deltaMBG = -3.2 +/- 4.3 mg/dL, p = 0.0016, deltaJ = -1.4 +/- 2.3, p = 0.0065); (b) much more similar results in glycemic control among members of the study group compared to each other, than among members of the control group compared to each other, as indicated by significantly lower variations of the applied glycemic control indices (SDMBG: 11.9 vs. 18.7 mg/dL, p = 0.0498; SDJ: 6.5 vs. 10.9, p = 0.0318); (c) the observed tendency of a better glycemic control for patients with a lower level of intelligence (IQ < 100) supported by the telematic system in comparison with all other assessed groups of patients. The last result was not statistically significant (p > 0.05). This telematic intensive care system improved the effectiveness of diabetes treatment during pregnancy. It also allows the diabetologist's strategy to be much more precise than if it were conducted without telematic support. This telematic system is inexpensive and simple in use.

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Year:  2001        PMID: 11911170     DOI: 10.1089/15209150152811207

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


  23 in total

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Authors:  Andrea Beratarrechea; Allison G Lee; Jonathan M Willner; Eiman Jahangir; Agustín Ciapponi; Adolfo Rubinstein
Journal:  Telemed J E Health       Date:  2013-11-08       Impact factor: 3.536

Review 2.  CGM, Pregnancy, and Remote Monitoring.

Authors:  Sarit Polsky; Rachel Garcetti
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

Review 3.  Techniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes.

Authors:  Foong Ming Moy; Amita Ray; Brian S Buckley; Helen M West
Journal:  Cochrane Database Syst Rev       Date:  2017-06-11

4.  Impact of a telemedicine system with automated reminders on outcomes in women with gestational diabetes mellitus.

Authors:  Carol J Homko; Larry C Deeb; Kimberly Rohrbacher; Wadia Mulla; Dimtrios Mastrogiannis; John Gaughan; William P Santamore; Alfred A Bove
Journal:  Diabetes Technol Ther       Date:  2012-04-18       Impact factor: 6.118

Review 5.  The role of telemedicine in the management of the pregnancy complicated by diabetes.

Authors:  Dimitrios S Mastrogiannis; Elena Igwe; Carol J Homko
Journal:  Curr Diab Rep       Date:  2013-02       Impact factor: 4.810

6.  Home telemonitoring for type 2 diabetes: an evidence-based analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2009-10-01

Review 7.  Diabetes care - insulin delivery in a changing world.

Authors:  Alan Marcus
Journal:  Medscape J Med       Date:  2008-05-20

8.  Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes.

Authors:  Lucy Mackillop; Lise Loerup; Katy Bartlett; Andrew Farmer; Oliver J Gibson; Jane E Hirst; Yvonne Kenworthy; Dev A Kevat; Jonathan C Levy; Lionel Tarassenko
Journal:  J Diabetes Sci Technol       Date:  2014-07-07

Review 9.  Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Da Tao; Tieyan Wang; Tieshan Wang; Shuang Liu; Xingda Qu
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

10.  Telemedical artificial pancreas: PARIS (Pancreas Artificial Telemedico Inteligente) research project.

Authors:  Alberto de Leiva; María Elena Hernando; M Rigla; I Capel; E Brugués; B Pons; L Erdozain; A Prados; R Corcoy; E J Gómez; G García-Sáez; I Martínez-Sarriegui; A Rodríguez-Herrero; C Pérez-Gandía; F del Pozo
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

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