Literature DB >> 19132851

Interactive diary for diabetes: A useful and easy-to-use new telemedicine system to support the decision-making process in type 1 diabetes.

Maria C E Rossi1, Antonio Nicolucci, Fabio Pellegrini, Daniela Bruttomesso, Paolo Di Bartolo, Giuseppe Marelli, Michela Dal Pos, Marianna Galetta, David Horwitz, Giacomo Vespasiani.   

Abstract

BACKGROUND: Widespread use of carbohydrate (CHO) counting is limited by its complex educational needs, but a telemedicine system could simplify the patients' training.
METHODS: The Diabetes Interactive Diary (DID) was set up on patients' mobile phones and allowed to record the blood glucose values and quantify the total CHO intake during a meal, by choosing the specific food and the amount ingested from a list of pictures. It also suggested the most appropriate insulin bolus in relation to the patient's CHO/insulin ratio. Data were sent to the physician by Short Message Service (also known as text message). Two pilot studies were carried out to investigate the feasibility and acceptability of the system and its effectiveness in improving metabolic control.
RESULTS: In the first study, 50 patients were involved in a survey with questionnaires administered before and 12 weeks after the start of the DID. The system was considered by almost all the patients as easy to use and very helpful. CHO counting and insulin bolus calculation were ranked as the most useful functions. In the second study, 41 consecutive patients using DID under routine clinical practice conditions were evaluated after a median of 9 months of follow-up. DID was associated with a nonstatistically significant reduction in fasting blood glucose (FBG), postprandial glucose (PPG), and hemoglobin A1c levels. FBG and PPG coefficient of variation (CV) values were significantly reduced: FBG-CV decreased by 6.7% (95% confidence interval -11.9, -1.6; P = 0.02), while PPG-CV decreased by 11.5% (95% confidence interval -19.3, -3.7; P = 0.01). No patients reported serious hypoglycemic episodes requiring medical intervention.
CONCLUSIONS: DID can represent a useful, safe, and easy-to-use tool to help the patient with type 1 diabetes promote dietary freedom. Adjustment of insulin doses according to CHO intake allowed the reduction of glucose variability, increasingly recognized as an important, independent risk factor for cardiovascular events.

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Year:  2009        PMID: 19132851     DOI: 10.1089/dia.2008.0020

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


  22 in total

Review 1.  Mobile intervention design in diabetes: review and recommendations.

Authors:  Shelagh A Mulvaney; Lee M Ritterband; Lindsay Bosslet
Journal:  Curr Diab Rep       Date:  2011-12       Impact factor: 4.810

Review 2.  Digital health interventions for the prevention of cardiovascular disease: a systematic review and meta-analysis.

Authors:  R Jay Widmer; Nerissa M Collins; C Scott Collins; Colin P West; Lilach O Lerman; Amir Lerman
Journal:  Mayo Clin Proc       Date:  2015-04       Impact factor: 7.616

3.  Bolus Calculator Safety Mandates a Need for Standards.

Authors:  John Walsh; Guido Freckmann; Ruth Roberts; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2016-12-20

4.  Applying the Concept of Nutrient-Profiling to Promote Healthy Eating and Raise Individuals' Awareness of the Nutritional Quality of their Food.

Authors:  Mayda A Alrige; Samir Chatterjee; Ernie Medina; Jeje Nuval
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Authors:  Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

Review 6.  A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management.

Authors:  Youfa Wang; Hong Xue; Yaqi Huang; Lili Huang; Dongsong Zhang
Journal:  Adv Nutr       Date:  2017-05-15       Impact factor: 8.701

Review 7.  Bolus calculators.

Authors:  Signe Schmidt; Kirsten Nørgaard
Journal:  J Diabetes Sci Technol       Date:  2014-05-19

Review 8.  mHealth for diabetes support: a systematic review of apps available on the Italian market.

Authors:  Maria Grazia Rossi; Sarah Bigi
Journal:  Mhealth       Date:  2017-05-04

Review 9.  The impact of mobile monitoring technologies on glycosylated hemoglobin in diabetes: a systematic review.

Authors:  Justine Baron; Hayley McBain; Stanton Newman
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

10.  Diabetes Interactive Diary: a new telemedicine system enabling flexible diet and insulin therapy while improving quality of life: an open-label, international, multicenter, randomized study.

Authors:  Maria C E Rossi; Antonio Nicolucci; Paolo Di Bartolo; Daniela Bruttomesso; Angela Girelli; Francisco J Ampudia; David Kerr; Antonio Ceriello; Carmen De La Questa Mayor; Fabio Pellegrini; David Horwitz; Giacomo Vespasiani
Journal:  Diabetes Care       Date:  2009-10-06       Impact factor: 19.112

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