Semi-automatic Response System(SARS)in Type 2 Diabetes (SARS)
|ClinicalTrials.gov Identifier: NCT01058733|
Recruitment Status : Completed
First Posted : January 29, 2010
Last Update Posted : January 29, 2010
- 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.
- 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.
|Condition or disease||Intervention/treatment||Phase|
|Diabetes Mellitus||Other: Internet||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||79 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||None (Open Label)|
|Official Title:||Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea, Seoul, Korea|
|Study Start Date :||October 2006|
|Actual Primary Completion Date :||May 2007|
|Actual Study Completion Date :||May 2007|
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.
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 Name: clinical decision-supporting system
- physicians' labour time and frequency of contact with the online communication system required for reviewing the patients' information and sending recommendations [ Time Frame: 24 weeks ]
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01058733
|Korea, Republic of|
|Seoul St. Mary's Hospital|
|Seoul, Korea, Republic of, 137-701|
|Principal Investigator:||Kun-Ho Yoon||Seoul St. Mary's Hospital, Seoul, Korea|