Literature DB >> 19580356

Telemedicine influence on the follow-up of type 2 diabetes patients.

María I Rodríguez-Idígoras1, Jesús Sepúlveda-Muñoz, Ramón Sánchez-Garrido-Escudero, José L Martínez-González, José L Escolar-Castelló, Isabel M Paniagua-Gómez, Rosa Bernal-López, María V Fuentes-Simón, Daniel Garófano-Serrano.   

Abstract

OBJECTIVE: This study was designed to evaluate the impact of a teleassistance system on the metabolic control of type 2 diabetes patients. RESEARCH DESIGN AND METHODS: We conducted a 1-year controlled parallel-group trial comparing patients randomized (1) to an intervention group, assigned to a teleassistance system using real-time transmission of blood glucose results, with immediate reply when necessary, and telephone consultations, or (2) to a control group, being regularly followed-up at their healthcare center. Study subjects were type 2 diabetes patients >30 years of age followed in the primary care setting.
RESULTS: A total of 328 type 2 diabetes patients were recruited from 35 family practices in the province of Málaga, Spain. There was a reduction in hemoglobin A1c after 12 months from 7.62 +/- 1.60% to 7.40 +/- 1.43% (P = 0.027) in the intervention group and from 7.44 +/- 1.31% to 7.35 +/- 1.38% (P = 0.303) in the control group. The difference in the change between groups was not statistically significant. There was also a significant decrease in systolic and diastolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, and body mass index in the intervention group. In the control group, the only significant decline was in low-density lipoprotein cholesterol.
CONCLUSIONS: A teleassistance system using real-time transmission of blood glucose results with an option to make telephone consultations is feasible in the primary care setting as a support tool for family physicians in their follow-up of type 2 diabetes patients.

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Year:  2009        PMID: 19580356     DOI: 10.1089/dia.2008.0114

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


  26 in total

Review 1.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

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.  Guideline of the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019.

Authors:  Marcelo Antônio Cartaxo Queiroga Lopes; Gláucia Maria Moraes de Oliveira; Antonio Luiz Pinho Ribeiro; Fausto J Pinto; Helena Cramer Veiga Rey; Leandro Ioschpe Zimerman; Carlos Eduardo Rochitte; Fernando Bacal; Carisi Anne Polanczyk; Cidio Halperin; Edson Correia Araújo; Evandro Tinoco Mesquita; José Airton Arruda; Luis Eduardo Paim Rohde; Max Grinberg; Miguel Moretti; Paulo Ricardo Avancini Caramori; Roberto Vieira Botelho; Andréa Araújo Brandão; Ludhmila Abrahão Hajjar; Alexandre Fonseca Santos; Alexandre Siciliano Colafranceschi; Ana Paula Beck da Silva Etges; Bárbara Campos Abreu Marino; Bruna Stella Zanotto; Bruno Ramos Nascimento; Cesar Rocha Medeiros; Daniel Vitor de Vasconcelos Santos; Daniela Matos Arrowsmith Cook; Eduardo Antoniolli; Erito Marques de Souza Filho; Fábio Fernandes; Fabio Gandour; Francisco Fernandez; Germano Emilio Conceição Souza; Guilherme de Souza Weigert; Iran Castro; Jamil Ribeiro Cade; José Albuquerque de Figueiredo Neto; Juliano de Lara Fernandes; Marcelo Souza Hadlich; Marco Antonio Praça Oliveira; Maria Beatriz Alkmim; Maria Cristina da Paixão; Maurício Lopes Prudente; Miguel A S Aguiar Netto; Milena Soriano Marcolino; Monica Amorim de Oliveira; Osvaldo Simonelli; Pedro A Lemos Neto; Priscila Raupp da Rosa; Renato Minelli Figueira; Roberto Caldeira Cury; Rodrigo Coelho Almeida; Sandra Regina Franco Lima; Silvio Henrique Barberato; Thiago Inocêncio Constancio; Wladimir Fernandes de Rezende
Journal:  Arq Bras Cardiol       Date:  2019-11       Impact factor: 2.000

Review 4.  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

5.  [Comparing the perspectives of primary care doctors in the Canary Islands and Alberta (Canada)].

Authors:  Vinita Mahtani-Chugani; Asunción López-Hijazo; Donna Manca; Emilio Sanz-Alvarez
Journal:  Aten Primaria       Date:  2012-01-04       Impact factor: 1.137

6.  A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the Clinical User-Experience Evaluation (CUE).

Authors:  Sakib Jalil; Trina Myers; Ian Atkinson
Journal:  J Med Syst       Date:  2015-02-13       Impact factor: 4.460

7.  Diabetes telehealth and computerized decision support systems: a sound system with a human touch is needed.

Authors:  Inger Holmström
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 8.  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

Review 9.  Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C.

Authors:  Deborah A Greenwood; Heather M Young; Charlene C Quinn
Journal:  J Diabetes Sci Technol       Date:  2014-02-21

Review 10.  Effectiveness and safety of patient activation interventions for adults with type 2 diabetes: systematic review, meta-analysis, and meta-regression.

Authors:  Shari D Bolen; Apoorva Chandar; Corinna Falck-Ytter; Carl Tyler; Adam T Perzynski; Alida M Gertz; Paulette Sage; Steven Lewis; Maurine Cobabe; Ying Ye; Michelle Menegay; Donna M Windish
Journal:  J Gen Intern Med       Date:  2014-04-15       Impact factor: 5.128

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