Literature DB >> 19246607

Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system.

Jae-Hyoung Cho1, Hye-Chung Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Kun-Ho Yoon.   

Abstract

A mobile phone with a glucometer integrated into the battery pack (the 'Diabetes Phone') was launched in Korea in 2003. We compared its effect on management of type 2 diabetes to the Internet-based glucose monitoring system (IBGMS), which had been studied previously. We conducted a randomized trial involving 69 patients for three months. Participants were assigned to an Internet group or a phone group. The phone group communicated with medical staff through the mobile phone only. Their glucose-monitoring data were automatically transferred to individual, web-based charts and they received medical recommendations by short message service. The Internet group used the IBGMS. There were no significant differences between the groups at baseline. After three months' intervention, HbA(1c) levels of both groups had decreased significantly, from 7.6% to 6.9% for the Internet group and from 8.3% to 7.1% for the phone group (P < 0.01). Levels of patient satisfaction and adherence to medical advice were similar. Mobile, bidirectional communication between doctors and patients using the diabetes phone was as effective for glucose control as the previously-studied Internet-based monitoring system and it was good for patient satisfaction and adherence.

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Year:  2009        PMID: 19246607     DOI: 10.1258/jtt.2008.080412

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  65 in total

1.  Service design attributes affecting diabetic patient preferences of telemedicine in South Korea.

Authors:  Hayoung Park; Yucheong Chon; Jongsu Lee; Ie-Jung Choi; Kun-Ho Yoon
Journal:  Telemed J E Health       Date:  2011-06-01       Impact factor: 3.536

Review 2.  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 3.  Text messaging as a tool for behavior change in disease prevention and management.

Authors:  Heather Cole-Lewis; Trace Kershaw
Journal:  Epidemiol Rev       Date:  2010-03-30       Impact factor: 6.222

4.  Mobile phone-based video messages for diabetes self-care support.

Authors:  Amanda M Bell; Stephanie J Fonda; M Susan Walker; Virginia Schmidt; Robert A Vigersky
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

5.  Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches.

Authors:  Md Faisal Kabir; Daniel Schulman; Abu S Abdullah
Journal:  J Med Syst       Date:  2019-06-12       Impact factor: 4.460

6.  Feasibility and effectiveness of an automated telehealth intervention to improve illness self-management in people with serious psychiatric and medical disorders.

Authors:  Sarah I Pratt; Stephen J Bartels; Kim T Mueser; John A Naslund; Rosemarie Wolfe; Heather S Pixley; Louis Josephson
Journal:  Psychiatr Rehabil J       Date:  2013-12

7.  Long-Term Engagement with Health-Management Technology: a Dynamic Process in Diabetes.

Authors:  Predrag Klasnja; Logan Kendall; Wanda Pratt; Katherine Blondon
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

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

9.  Ubiquitous Diabetes Management System via Interactive Communication Based on Information Technologies: Clinical Effects and Perspectives.

Authors:  Jae-Hyoung Cho; Hun-Sung Kim; Jae-Hoon Han; Jin-Hee Lee; Jeong-Ah Oh; Yoon-Hee Choi; Kun-Ho Yoon
Journal:  Korean Diabetes J       Date:  2010-10-31

10.  The use of mobile phones as a data collection tool: a report from a household survey in South Africa.

Authors:  Mark Tomlinson; Wesley Solomon; Yages Singh; Tanya Doherty; Mickey Chopra; Petrida Ijumba; Alexander C Tsai; Debra Jackson
Journal:  BMC Med Inform Decis Mak       Date:  2009-12-23       Impact factor: 2.796

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