Literature DB >> 24528195

The efficiency of telemedicine to optimize metabolic control in patients with type 1 diabetes mellitus: Telemed study.

Enric Esmatjes1, Margarida Jansà, Daria Roca, Natalia Pérez-Ferre, Laura del Valle, Sergio Martínez-Hervás, Marisol Ruiz de Adana, Francisca Linares, Ricardo Batanero, Federico Vázquez, Ramon Gomis, Oriol de Solà-Morales.   

Abstract

OBJECTIVE: This study evaluated the impact of an Internet-based telematic system on the economic and clinical management of patients with type 1 diabetes mellitus. RESEARCH DESIGN AND METHODS: This 6-month prospective, randomized, comparative, open, multicenter study included patients with type 1 diabetes >18 years old treated with multiple insulin doses and with a glycated hemoglobin (HbA1c) level of >8%. We compared an intervention group (IG) (two face-to-face and five telematic appointments) with a control group (CG) (seven face-to-face appointments). The variables studied were (1) patient and healthcare team costs, (2) metabolic control, (3) knowledge of diabetes, (4) quality of life, and (5) self-care treatment adherence.
RESULTS: Of the 154 patients included, 118 (76.6%) completed the study (IG, 54; CG, 64). The time used by the CG to follow the program was 823±645 min versus 353±222 min in the IG (P<0.0001). Compared with the CG, the IG required less healthcare time from the professionals (288±105 min vs. 232±89 min; P<0.001). HbA1c improved in both groups (IG, 9.2±1.5% [77.0±17.0 mmol/mol] vs. 8.7±1.5% [71.6±17.0 mmol/mol] [P<0.001]; CG, 9.2±0.9% [77.0±10.0 mmol/mol] vs. 8.6±0.9% [70.5±10.0 mmol/mol] [P<0.001], as did knowledge and self-care treatment adherence.
CONCLUSIONS: The use of interactive telematic appointments in subjects with type 1 diabetes and inadequate metabolic control is an efficient strategy, providing results comparable to those of face-to-face appointments in relation to improvement in glycemic control, knowledge acquisition, and self-care treatment adherence, with a significant reduction in the time used, especially by patients.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24528195     DOI: 10.1089/dia.2013.0313

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


  15 in total

Review 1.  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

2.  Monthly Video-Consultation for Children With Type 1 Diabetes Using a Continuous Glucose Monitoring System: Design of ViDiKi, a Multimethod Intervention Study to Evaluate the Benefit of Telemedicine.

Authors:  Fabian-Simon Frielitz; Esther Müller-Godeffroy; Joachim Hübner; Nora Eisemann; Jana Dördelmann; Ingo Menrath; Alexander Katalinic; Olaf Hiort; Simone von Sengbusch
Journal:  J Diabetes Sci Technol       Date:  2019-07-17

Review 3.  Impact of Telehealth Care among Adults Living with Type 2 Diabetes in Primary Care: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Authors:  Natalie Robson; Hassan Hosseinzadeh
Journal:  Int J Environ Res Public Health       Date:  2021-11-19       Impact factor: 3.390

4.  Rural Telehealth Visits in the Management of Type 1 Diabetes.

Authors:  Leslie A Eiland; Andjela Drincic
Journal:  J Diabetes Sci Technol       Date:  2021-10-12

Review 5.  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

6.  Design, construction, and implementation of an online platform for patients with type 1 diabetes: EncoDiab.

Authors:  Dácil Alvarado-Martel; Francesca Cañas; Rebeca Velasco; Nuria Alcubierre; Laura López-Ríos; Ferran Rius; Francisco Javier Nóvoa; Armando Carrillo; Marta Hernández; Ana María Wägner; Dídac Mauricio
Journal:  Patient Prefer Adherence       Date:  2015-06-15       Impact factor: 2.711

7.  Automated integration of continuous glucose monitor data in the electronic health record using consumer technology.

Authors:  Rajiv B Kumar; Nira D Goren; David E Stark; Dennis P Wall; Christopher A Longhurst
Journal:  J Am Med Inform Assoc       Date:  2016-03-27       Impact factor: 4.497

Review 8.  Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies.

Authors:  Shaun W H Lee; Leanne Ooi; Yin K Lai
Journal:  Front Pharmacol       Date:  2017-05-30       Impact factor: 5.810

9.  Challenges with Patient Adoption of Automated Integration of Blood Glucose Meter Data in the Electronic Health Record.

Authors:  Jake Weatherly; Saniya Kishnani; Tandy Aye
Journal:  Diabetes Technol Ther       Date:  2019-07-29       Impact factor: 6.118

Review 10.  Interventions to improve patients' compliance with therapies aimed at lowering glycated hemoglobin (HbA1c) in type 1 diabetes: systematic review and meta-analyses of randomized controlled clinical trials of psychological, telecare, and educational interventions.

Authors:  Luciana Verçoza Viana; Marilia Brito Gomes; Lenita Zajdenverg; Elizabeth Joao Pavin; Mirela Jobim Azevedo
Journal:  Trials       Date:  2016-02-17       Impact factor: 2.279

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.