Abstract
We have demonstrated previously that an individualized health management system using advanced medical information technology, named ubiquitous (u)-healthcare, was helpful in achieving better glycemic control than routine care. Recently, we generated a new u-healthcare system using a voice inception technique for elderly diabetic patients to communicate information about their glucose control, physical activity, and diet more easily. In a randomized clinical trial, 70 diabetic patients aged 60-85 years were assigned randomly to a standard care group or u-healthcare group for 6 months. The primary end points were the changes in glycated hemoglobin (HbA1c) and glucose fluctuation assessed by the mean amplitude glycemic excursion (MAGE). Changes in body weight, lifestyle, and knowledge about diabetes were also investigated. After 6 months, the HbA1c levels decreased significantly in the u-healthcare group (from 8.6 ± 1.0% to 7.5 ± 0.6%) compared with the standard care group (from 8.7 ± 0.9% to 8.2 ± 1.1%, P < 0.01). The MAGE decreased more in the u-healthcare group than in the standard care group. Systolic blood pressure and body weight decreased and liver functions improved in the u-healthcare group, but not in the standard care group. The u-healthcare system with voice inception technique was effective in achieving glycemic control without hypoglycemia in elderly diabetic patients (Clinicaltrials.gov: NCT01891474).
