Literature DB >> 26938489

Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China.

Hun-Sung Kim1,2, Chenglin Sun3, So Jung Yang1, Lin Sun3, Fei Li3, In Young Choi1, Jae-Hyoung Cho2, Guixia Wang3, Kun-Ho Yoon1,2.   

Abstract

OBJECTIVE: Large amounts of time and effort are needed to implement an Internet-based glucose monitoring system (IBGMS) in the clinical setting. This study was designed using research experience that was developed while implementing an IBGMS in Korea, and the research platform was modified to evaluate the efficacy of an IBGMS in controlling blood sugar in the Chinese population.
METHODS: A randomized, open-label, parallel group design was used to evaluate the efficacy of an IBGMS among Chinese subjects with type 2 diabetes. Over a 6-month period, 182 subjects were evaluated in the IBGMS (n = 92) or control (n = 90) groups.
RESULTS: After 3 months, the control group's HbA1c levels were reduced from 8.0% ± 0.8% to 7.3% ± 1.2% (p < 0.001) and the IBGMS group experienced a reduction from 7.9% ± 0.8% to 6.9% ± 0.7% (p < 0.001); the IBGMS group's end value was significantly lower (p = 0.014). The intragroup changes in the control and IBGMS groups were significant at the 3-month (p = 0.002) and 6-month (p < 0.01) follow-ups. Over this period, the HbA1c levels in the control group increased slightly (7.3% ± 1.1% to 7.4% ± 1.3%, p = 0.605), and the HbA1c levels in the IBGMS group decreased slightly (6.9% ± 0.7% to 6.7% ± 0.7%, p = 0.081).
CONCLUSIONS: The IBGMS was effective in improving blood sugar levels among patients with diabetes. Therefore, IBGMS experience can be effectively transferred between institutions and countries.

Entities:  

Keywords:  Diabetes mellitus; Internet-based glucose monitoring system (IBGMS); mobile health; telehealth

Mesh:

Substances:

Year:  2016        PMID: 26938489     DOI: 10.1089/tmj.2015.0170

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  16 in total

1.  Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea.

Authors:  Hun-Sung Kim; Yoo Jin Jeong; Sun Jung Baik; So Jung Yang; Tong Min Kim; Hyunah Kim; Hyunyong Lee; Seung-Hwan Lee; Jae Hyoung Cho; In-Young Choi; Kun-Ho Yoon
Journal:  Appl Clin Inform       Date:  2016-09-28       Impact factor: 2.342

Review 2.  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

3.  Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis.

Authors:  Sahar Salehi; Alireza Olyaeemanesh; Mohammadreza Mobinizadeh; Ensieh Nasli-Esfahani; Hossein Riazi
Journal:  J Diabetes Metab Disord       Date:  2020-01-10

4.  Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea.

Authors:  Hun Sung Kim; So Jung Yang; Yoo Jin Jeong; Young Eun Kim; Seok Won Hong; Jae Hyoung Cho
Journal:  Diabetes Metab J       Date:  2017-06       Impact factor: 5.376

5.  Comparison of three meta-analytic methods using data from digital interventions on type 2 diabetes.

Authors:  Mihiretu M Kebede; Manuela Peters; Thomas L Heise; Claudia R Pischke
Journal:  Diabetes Metab Syndr Obes       Date:  2018-12-19       Impact factor: 3.168

Review 6.  Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes.

Authors:  Yilin Yoshida; Suzanne A Boren; Jesus Soares; Mihail Popescu; Stephen D Nielson; Richelle J Koopman; Diana R Kennedy; Eduardo J Simoes
Journal:  Curr Diab Rep       Date:  2019-04-27       Impact factor: 4.810

7.  Evaluation of the Efficacy of the Hospital Glycemic Management System for Patients with Malignant Tumors and Hyperglycemia.

Authors:  Juan Jiang; Danlan Pu; Renzhi Hu; Mingyang Hu; Qinan Wu
Journal:  Diabetes Metab Syndr Obes       Date:  2021-06-16       Impact factor: 3.168

Review 8.  Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes.

Authors:  Yilin Yoshida; Suzanne A Boren; Jesus Soares; Mihail Popescu; Stephen D Nielson; Eduardo J Simoes
Journal:  Curr Diab Rep       Date:  2018-10-18       Impact factor: 4.810

Review 9.  Impact and efficacy of mobile health intervention in the management of diabetes and hypertension: a systematic review and meta-analysis.

Authors:  Yaqian Mao; Wei Lin; Junping Wen; Gang Chen
Journal:  BMJ Open Diabetes Res Care       Date:  2020-09

10.  Health system interventions for adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis.

Authors:  David Flood; Jessica Hane; Matthew Dunn; Sarah Jane Brown; Bradley H Wagenaar; Elizabeth A Rogers; Michele Heisler; Peter Rohloff; Vineet Chopra
Journal:  PLoS Med       Date:  2020-11-12       Impact factor: 11.613

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