Semi-automatic Response System(SARS)in Type 2 Diabetes

Study Overview
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Brief Summary
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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.

Official Title
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Seoul St. Mary's Hospital College of Medicine The Catholic University of Korea, Seoul, Korea

Conditions
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Diabetes Mellitus

Intervention / Treatment
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* Other: Internet


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 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. Exclusion Criteria: 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

Ages Eligible for Study
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Minimum Age: 20 Years
Maximum Age: 70 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Treatment
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: Internet<br>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<br>* 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.<br>* Other names: clinical decision-supporting system;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| physicians' labour time and frequency of contact with the online communication system required for reviewing the patients' information and sending recommendations |  | 24 weeks | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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semi-automatic response system (SARS), Diabetes Mellitus, Internet, ubiquitous health care system