Literature DB >> 23844569

Impact of the "Diabetes Interactive Diary" telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes.

Maria Chiara Rossi1, Antonio Nicolucci, Giuseppe Lucisano, Fabio Pellegrini, Paolo Di Bartolo, Valerio Miselli, Roberto Anichini, Giacomo Vespasiani.   

Abstract

BACKGROUND: Telemedicine systems based on mobile phones represent new promising educational tools. The "Diabetes Interactive Diary" (DID) is a carbohydrate/bolus calculator promoting the patient-physician communication via short message service. This study aimed to compare the efficacy of the DID versus usual care on metabolic control, hypoglycemia, and quality of life. PATIENTS AND METHODS: Patients with type 1 diabetes on a basal:bolus regimen with insulin glargine and insulin glulisine, not previously educated on carbohydrate (CHO) counting, were randomized to DID (Group A; n=63) or traditional education (Group B; n=64). Generalized hierarchical linear regression models for repeated measures were applied to compare changes between groups. Incidence of hypoglycemia was compared using Poisson regression models.
RESULTS: Of 127 patients (age, 36.9±10.5 years; diabetes duration, 16.3±9.3 years), 15 (11.8%) dropped out. After 6 months, hemoglobin A1c (HbA1c) levels decreased by -0.49±0.11 in Group A and -0.48±0.11 in Group B (P=0.73). Group A showed a 86% lower risk of grade 2 hypoglycemia than Group B. Compared with usual care, DID improved the "perceived frequency of hyperglycemic episodes" scale of the Diabetes Treatment Satisfaction Questionnaire and the "social relations" and the "fear of hypoglycemia" dimensions of the Diabetes Specific Quality of Life Scale. Results obtained with DID markedly differ among patients and centers.
CONCLUSIONS: DID is no more effective than traditional CHO counting education in reducing HbA1c levels. DID reduces the risk of moderate/severe hypoglycemia and improves quality of life. A better understanding of patients' and healthcare professionals' attitudes associated with an effective care supported by technology is essential to avoid waste of resources.

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Year:  2013        PMID: 23844569     DOI: 10.1089/dia.2013.0021

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


  27 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.  Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials.

Authors:  Labib Imran Faruque; Natasha Wiebe; Arash Ehteshami-Afshar; Yuanchen Liu; Neda Dianati-Maleki; Brenda R Hemmelgarn; Braden J Manns; Marcello Tonelli
Journal:  CMAJ       Date:  2016-10-31       Impact factor: 8.262

3.  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

4.  Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized Trial.

Authors:  Stein Olav Skrøvseth; Eirik Årsand; Fred Godtliebsen; Ragnar M Joakimsen
Journal:  Diabetes Technol Ther       Date:  2015-03-09       Impact factor: 6.118

Review 5.  Evidence-based Mobile Medical Applications in Diabetes.

Authors:  Andjela Drincic; Priya Prahalad; Deborah Greenwood; David C Klonoff
Journal:  Endocrinol Metab Clin North Am       Date:  2016-10-08       Impact factor: 4.741

Review 6.  The empirical evidence for the telemedicine intervention in diabetes management.

Authors:  Rashid L Bashshur; Gary W Shannon; Brian R Smith; Maria A Woodward
Journal:  Telemed J E Health       Date:  2015-03-25       Impact factor: 3.536

7.  An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes.

Authors:  Qing Ye; Uzma Khan; Suzanne A Boren; Eduardo J Simoes; Min Soon Kim
Journal:  J Diabetes Sci Technol       Date:  2018-02-01

Review 8.  App-Based Insulin Calculators: Current and Future State.

Authors:  Leslie Eiland; Meghan McLarney; Thiyagarajan Thangavelu; Andjela Drincic
Journal:  Curr Diab Rep       Date:  2018-10-04       Impact factor: 4.810

Review 9.  Rapid Evidence Review of Mobile Applications for Self-management of Diabetes.

Authors:  Stephanie Veazie; Kara Winchell; Jennifer Gilbert; Robin Paynter; Ilya Ivlev; Karen B Eden; Kerri Nussbaum; Nicole Weiskopf; Jeanne-Marie Guise; Mark Helfand
Journal:  J Gen Intern Med       Date:  2018-05-08       Impact factor: 5.128

10.  Investigation on carbohydrate counting method in type 1 diabetic patients.

Authors:  Osman Son; Belgin Efe; Nazan Erenoğlu Son; Aysen Akalin; Nur Kebapçi
Journal:  Biomed Res Int       Date:  2014-08-17       Impact factor: 3.411

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