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Recently, we generated a new multidisciplinary ubiquitous healthcare system by upgrading our clinical decision supporting system (CDSS) rule engine, and integrating a physical activity-monitoring device and dietary feedback into a comprehensive package. We hypothesize that individualized multidisciplinary u-healthcare service combined with exercise monitoring and dietary feedback will result in better glucose control with less hypoglycemia in an elderly population.
The use of telemedicine (also known as connected health, e-health, or telehealth) has been proven to be beneficial in chronic disease management. Now, the classic concept of telemedicine has been evolving to ubiquitous (u)-healthcare system with advanced information technologies which provides real-time individualized feedback using a monitoring device attached to the internet or a mobile phone system.
A few studies showed that adopting a u-healthcare system helped patients improve their blood glucose control and reduced hypoglycemia or weight gain. In a previous study, supervised telemonitoring was effective for blood pressure control in hypertensive patients in primary care settings. A recent study showed that telemonitoring with pharmacist's help achieved better blood pressure control compared with usual care during 12 months of intervention.
A clinical decision support system (CDSS) is the key to this system, building up an individualized CDSS rule engine is the crux of the u-healthcare system because current glucose control status, antidiabetic medications, lifestyle, and severity of hypoglycemia vary between individual patients.
Recently, our u-healthcare team generated a new multidisciplinary u-healthcare system by upgrading the CDSS rule engine, and integrating a physical activity-monitoring device and dietary feedback into a comprehensive package. With this integrated system, we investigate the effect of individualized multidisciplinary u-healthcare service combined with exercise monitoring and dietary feedback on glucose control with less hypoglycemia in Korean elderly population.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Self-Monitoring of Blood Glucose | No Intervention | measurement of their blood glucose level using a glucometer at least eight times a week | |
| U-healthcare | Experimental | individualized multidisciplinary u-healthcare service combined with exercise monitoring and dietary feedback on glucose control |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| U-healthcare | Device | use of a public switched telephone network (PSTN)-connected glucometer to measure their blood glucose level at the same frequency as the SMBG group |
|
| Measure | Description | Time Frame |
|---|---|---|
| proportion of patients achieving the target of HbA1c <7% without hypoglycemia | The primary endpoint of the present study was the proportion of patients achieving the target of HbA1c <7% without hypoglycemia at 6 months. | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Hypoglycemia | Numbers of hypoglycemic events | 6 months |
| Obesity index | Changes of BMI and Waist circumference | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Soo Lim, MD, PhD | SNUBH | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| SNUBH | Seongnam-si | Gyeonggi-do | 463-707 | South Korea |
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| Lifestyle | Changes of caloric intake and exercise | 6 months |