NCT01058733

Brief Summary

Background

  • Various kinds of interactive online communication systems have been introduced for long-term diabetes management, and their importance in managing patients is increasing. The investigators investigated the amount of physician time needed to maintain such a system, and the investigators developed software to maximise the cost effectiveness. Methods
  • The investigators conducted a prospective, randomised, controlled trial to investigate the efficacy and safety of a semi-automatic response system (SARS) for online glucose monitoring over a 24-week period of patients with type 2 diabetes. In the SARS group, the "SARS" software filtered the recorded self-monitoring of blood glucose data automatically to reduce the physicians' time, and the physicians managed patients regularly but only manually in the control (manual) group. The investigators measured the time spent by the physicians for online management and compared the HbA1c levels at enrolment and follow-up.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
79

participants targeted

Target at P25-P50 for not_applicable diabetes-mellitus

Timeline
Completed

Started Oct 2006

Shorter than P25 for not_applicable diabetes-mellitus

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2006

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 1, 2007

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 1, 2007

Completed
2.7 years until next milestone

First Submitted

Initial submission to the registry

January 28, 2010

Completed
1 day until next milestone

First Posted

Study publicly available on registry

January 29, 2010

Completed
Last Updated

January 29, 2010

Status Verified

May 1, 2007

Enrollment Period

7 months

First QC Date

January 28, 2010

Last Update Submit

January 28, 2010

Conditions

Keywords

semi-automatic response system (SARS)Diabetes MellitusInternetubiquitous health care system

Outcome Measures

Primary Outcomes (1)

  • physicians' labour time and frequency of contact with the online communication system required for reviewing the patients' information and sending recommendations

    24 weeks

Study Arms (1)

Internet

OTHER

New clinical decision-supporting system for glucose monitoring, SARS, which could identify glucose data recorded by patients and make some optimal decisions.The SARS engine assigned subjects to one of three levels according to the glucose control status and glucose control method.

Other: Internet

Interventions

new clinical decision-supporting system for glucose monitoring, SARS, which could identify glucose data recorded by patients and make some optimal decisions.The SARS engine assigned subjects to one of three levels according to the glucose control status and glucose control method.

Also known as: clinical decision-supporting system
Internet

Eligibility Criteria

Age20 Years - 70 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • men or women aged 20-70 years with type 2 diabetes
  • lasting more than one year who had used the online communication system for diabetes management at the web site https://www.bi odang.com for more than six months
  • baseline HbA1c level was 6-10%
  • Patients who able and willing to complete glucose-monitoring diaries on a web chart as instructed.

You may not qualify if:

  • patients who required intensive insulin therapy (multiple insulin injections or insulin pump therapy) or who were unwilling to use self-monitoring of blood glucose (SMBG)
  • acute metabolic complications of diabetes (e.g., diabetic ketoacidosis, hyperosmolar non-ketotic hyperglycaemia, lactic acidosis)
  • serum creatinine concentration \>2.0 mg/dl at screening
  • active liver disease or ALT or AST activities \>2.5 times the upper limit of normal
  • acute illness, chronic infection, heart failure of NYHA Class III or IV
  • recent myocardial infarction or stroke during the past six months
  • pregnancy or GDM, or any other factor likely to limit protocol compliance or reporting of adverse events

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Seoul St. Mary's Hospital

Seoul, Seoul, 137-701, South Korea

Location

Related Publications (5)

  • Kwon HS, Cho JH, Kim HS, Song BR, Ko SH, Lee JM, Kim SR, Chang SA, Kim HS, Cha BY, Lee KW, Son HY, Lee JH, Lee WC, Yoon KH. Establishment of blood glucose monitoring system using the internet. Diabetes Care. 2004 Feb;27(2):478-83. doi: 10.2337/diacare.27.2.478.

    PMID: 14747232BACKGROUND
  • Yoon KH, Lee JH, Kim JW, Cho JH, Choi YH, Ko SH, Zimmet P, Son HY. Epidemic obesity and type 2 diabetes in Asia. Lancet. 2006 Nov 11;368(9548):1681-8. doi: 10.1016/S0140-6736(06)69703-1.

    PMID: 17098087BACKGROUND
  • Kwon HS, Cho JH, Kim HS, Lee JH, Song BR, Oh JA, Han JH, Kim HS, Cha BY, Lee KW, Son HY, Kang SK, Lee WC, Yoon KH. Development of web-based diabetic patient management system using short message service (SMS). Diabetes Res Clin Pract. 2004 Dec;66 Suppl 1:S133-7. doi: 10.1016/j.diabres.2003.10.028.

    PMID: 15563964BACKGROUND
  • Cho JH, Chang SA, Kwon HS, Choi YH, Ko SH, Moon SD, Yoo SJ, Song KH, Son HS, Kim HS, Lee WC, Cha BY, Son HY, Yoon KH. 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. 2006 Dec;29(12):2625-31. doi: 10.2337/dc05-2371.

    PMID: 17130195BACKGROUND
  • Cho JH, Lee HC, Lim DJ, Kwon HS, Yoon KH. 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. J Telemed Telecare. 2009;15(2):77-82. doi: 10.1258/jtt.2008.080412.

    PMID: 19246607BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus

Interventions

Patient Portals

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Intervention Hierarchy (Ancestors)

Health Records, PersonalMedical RecordsRecordsData CollectionEpidemiologic MethodsInvestigative Techniques

Study Officials

  • Kun-Ho Yoon

    Seoul St. Mary's Hospital, Seoul, Korea

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER

Study Record Dates

First Submitted

January 28, 2010

First Posted

January 29, 2010

Study Start

October 1, 2006

Primary Completion

May 1, 2007

Study Completion

May 1, 2007

Last Updated

January 29, 2010

Record last verified: 2007-05

Locations