HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Kwon, H.-S. Articles by Yoon, K.-H. Search for Related Content PubMed PubMed Citation Articles by Kwon, H.-S. Articles by Yoon, K.-H. Social Bookmarking                What's this?

Establishment of Blood Glucose Monitoring System Using the Internet

¹ Department of Internal Medicine, The Catholic University of Korea, Seoul, Korea
² College of Nursing, The Catholic University of Korea, Seoul, Korea
³ Department of Preventive Medicine, The Catholic University of Korea, Seoul, Korea

Address correspondence and reprint requests to Kun-Ho Yoon, MD, Division of Endocrinology and Metabolism, Department of Internal Medicine, The Catholic University of Korea, Kangnam St. Mary’s Hospital, 505 Banpo-Dong, Seocho-Ku Seoul, Korea, 137-701. E-mail: yoonk{at}catholic.ac.kr

OBJECTIVE—The Internet is used worldwide as a communication tool. To improve the quality of diabetes control, we investigated the effectiveness of an Internet-based blood glucose monitoring system (IBGMS) on controlling the changes in HbA_1c levels.

RESEARCH DESIGN AND METHODS—We conducted a randomized clinical trial involving 110 patients who visited the outpatient clinic at the Kangnam St. Mary’s Hospital for 3 months. The study subjects were treated with IBGMS for 12 weeks, and the control group received the usual outpatient management over the same period. HbA_1c and other laboratory tests were performed twice, once at the beginning of the study and again at the end of the study.

RESULTS—The test results from the beginning of the study established that there were no significant differences between the two groups with respect to age, sex, diabetes duration, BMI, blood pressure, HbA_1c, and other laboratory data. On follow-up examination 12 weeks later, HbA_1c levels were significantly decreased from 7.59 to 6.94% within the intervention group (P < 0.001). At the end of the study, HbA_1c levels in the intervention group were significantly lower than in the control group after adjusting the baseline HbA_1c (6.94 vs. 7.62%; P < 0.001, respectively). Among patients with baseline HbA_1c <7.0%, the patients in the intervention group had lower HbA_1c than those in the control group (6.38 vs. 6.99%; P < 0.05). Among the patients with a baseline HbA_1c 7.0%, the difference between the two groups appeared more obvious: HbA_1c levels at the end of the study were 8.12%.

CONCLUSIONS—This new IBGMS resulted in a significant reduction of HbA_1c during the study period. We propose that this IBGMS be used as a method for improving diabetes control.

Abbreviations: IBGMS, Internet-based blood glucose monitoring system

CiteULike    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				L. McAndrew, S. H. Schneider, E. Burns, and H. Leventhal Does Patient Blood Glucose Monitoring Improve Diabetes Control?: A Systematic Review of the Literature The Diabetes Educator, November 1, 2007; 33(6): 991 - 1010. [Abstract] [Full Text] [PDF]

				C. Kim, H. Kim, J. Nam, M. Cho, J. Park, E. Kang, C. Ahn, B. Cha, E. Lee, S. Lim, et al. Internet Diabetic Patient Management Using a Short Messaging Service Automatically Produced by a Knowledge Matrix System Diabetes Care, November 1, 2007; 30(11): 2857 - 2858. [Full Text] [PDF]

				J.-H. Cho, S.-A. Chang, H.-S. Kwon, Y.-H. Choi, S.-H. Ko, S.-D. Moon, S.-J. Yoo, K.-H. Song, H.-S. Son, H.-S. Kim, et al. Long-Term Effect of the Internet-Based Glucose Monitoring System on HbA1c Reduction and Glucose Stability: A 30-month follow-up study for diabetes management with a ubiquitous medical care system Diabetes Care, December 1, 2006; 29(12): 2625 - 2631. [Abstract] [Full Text] [PDF]

				K. G. Shojania, S. R. Ranji, K. M. McDonald, J. M. Grimshaw, V. Sundaram, R. J. Rushakoff, and D. K. Owens Effects of quality improvement strategies for type 2 diabetes on glycemic control: a meta-regression analysis. JAMA, July 26, 2006; 296(4): 427 - 440. [Abstract] [Full Text] [PDF]

				C. D. Saudek, R. L. Derr, and R. R. Kalyani Assessing Glycemia in Diabetes Using Self-monitoring Blood Glucose and Hemoglobin A1c JAMA, April 12, 2006; 295(14): 1688 - 1697. [Abstract] [Full Text] [PDF]

				C.-T. Liu, Y.-T. Yeh, T.-I Lee, and Y.-C. Li Observations on Online Services for Diabetes Management Diabetes Care, November 1, 2005; 28(11): 2807a - 2808a. [Full Text] [PDF]

				J. Chodosh, S. C. Morton, W. Mojica, M. Maglione, M. J. Suttorp, L. Hilton, S. Rhodes, and P. Shekelle Meta-Analysis: Chronic Disease Self-Management Programs for Older Adults Ann Intern Med, September 20, 2005; 143(6): 427 - 438. [Abstract] [Full Text] [PDF]

				G. T. McMahon, H. E. Gomes, S. Hickson Hohne, T. M.-J. Hu, B. A. Levine, and P. R. Conlin Web-Based Care Management in Patients With Poorly Controlled Diabetes Diabetes Care, July 1, 2005; 28(7): 1624 - 1629. [Abstract] [Full Text] [PDF]