The narrative synthesis provided mixed effects of CHITs on other clinical , psychosocial , behavioral , and knowledge outcomes .
Conclusions The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes .
However , their effectiveness did not remain consistent over time and in other patient outcomes .
Objective To reveal the effects of consumer-oriented health information technologies ( CHITs ) on patient outcomes in diabetes management over time through systematic review and meta- analysis .
Multifactorial intervention in diabetes care using real-time monitoring and tailored feedback in type 2 diabetes
Aims In 2011 , we demonstrated that an individualized health management system employing advanced medical information technology , design ated ubiquitous (u)-healthcare , was helpful in achieving glycemic control without hypoglycemia in patients with diabetes . Following this , we generated a new multidisciplinary u-healthcare system by upgrading our clinical decision support system ( CDSS ) rule engine and integrating a physical activity-monitoring device and dietary feedback into a comprehensive package . Methods In a r and omized , controlled clinical trial , patients with type 2 diabetes aged over 60 years were assigned r and omly to a self-monitored blood glucose ( SMBG ) group  ( N = 50 ) or u-healthcare group ( N = 50 ) for 6 months . The primary endpoint was the proportion of patients achieving glycated hemoglobin ( HbA1c ) < 7 % without hypoglycemia . Changes in body composition and lipid profiles were also investigated . The u-healthcare group was educated to use a specially design ed glucometer and an activity monitor that automatically transferred test results to a hospital-based server . An automated CDSS rule engine generated and sent patient-specific messages about  glucose , diet , and physical activity to their mobile phones and a Web site . Results After 6 months of follow-up , the HbA1c level was significantly decreased in the u-healthcare group [ 8.0 ± 0.7 % ( 64.2 ± 8.8 mmol/mol ) to 7.3 ± 0.9 % ( 56.7 ± 9.9 mmol/mol ) ] compared with the SMBG group [ 8.1 ± 0.8 % ( 64.9 ± 9.1 mmol/mol ) to 7.9 ± 1.2 % ( 63.2 ± 12.3 mmol/mol ) ] ( P < 0.01 ) . The proportion of patients with HbA1c < 7 % without hypoglycemia was greater in the u-healthcare group ( 26 % ) than in the SMBG group ( 12 % ; P < 0.05 ) . Body fat mass decreased and lipid profiles improved in the u-healthcare group but not in the SMBG group . Conclusion This u-healthcare service provided effective management for older patients with type 2 diabetes ( Clinical Trial . Gov : NCT01137058 )
The narrative synthesis provided mixed effects of CHITs on other clinical , psychosocial , behavioral , and knowledge outcomes .
Conclusions The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes .
However , their effectiveness did not remain consistent over time and in other patient outcomes .
Objective To reveal the effects of consumer-oriented health information technologies ( CHITs ) on patient outcomes in diabetes management over time through systematic review and meta- analysis .