In addition , the more CCM-incorporated the information technology-based interventions were , the more improvements there were in HbA1c levels .
CONCLUSIONS Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes .
No clinical ly relevant impact was observed on low-density lipoprotein levels and blood pressure , but there was evidence that the cost of care was lower
BACKGROUND Information technology-based interventions are increasingly being used to manage health care .
However , there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes .
OBJECTIVE The objective of this study was to conduct a systematic review and meta- analysis of clinical trials , assessing the impact of information technology on changes in the levels of hemoglobin A1c ( HbA1c ) and mapping the interventions with chronic care model ( CCM ) elements .
Improved Glycemic Control Without Hypoglycemia in Elderly Diabetic Patients Using the Ubiquitous Healthcare Service, a New Medical Information System
OBJECTIVE To improve quality and efficiency of care for elderly patients with type 2 diabetes , we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare ( u-healthcare ) service , which is an individualized health management system using advanced medical information technology . RESEARCH DESIGN AND METHODS We conducted a 6-month r and omized , controlled clinical trial involving 144 patients aged > 60 years . Participants were r and omly assigned to receive routine care ( control , n = 48 ) , to the self-monitored blood glucose ( SMBG  , n = 47 ) group , or to the u-healthcare group ( n = 49 ) . The primary end point was the proportion of patients achieving A1C < 7 % without hypoglycemia at 6 months . U-healthcare system refers to an individualized medical service in which medical instructions are given through the patient ’s mobile phone . Patients receive a glucometer with a public switched telephone network-connected cradle that automatically transfers test results to a hospital-based server . Once the data are transferred to the server , an automated system , the CDSS rule engine , generates and sends patient-specific messages by mobile phone . RESULTS After 6 months of follow-up , the mean A1C level was significantly decreased from 7.8 ± 1.3 % to 7.4 ± 1.0 % ( P < 0.001 ) in the u-healthcare group and from 7.9 ± 1.0 % to 7.7 ± 1.0 % ( P = 0.020 ) in the SMBG group , compared with 7.9 ± 0.8 % to 7.8 ± 1.0 % ( P = 0.274 ) in the control group . The proportion of patients with A1C < 7 % without hypoglycemia was 30.6 % in the u-healthcare group , 23.4 % in the SMBG group ( 23.4 % ) , and 14.0 % in the control group ( P < 0.05 ) . CONCLUSIONS The CDSS-based u-healthcare service achieved better glycemic control with less hypoglycemia than SMBG and routine care and may provide effective and safe diabetes management in the elderly diabetic patients
In addition , the more CCM-incorporated the information technology-based interventions were , the more improvements there were in HbA1c levels .
CONCLUSIONS Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes .
No clinical ly relevant impact was observed on low-density lipoprotein levels and blood pressure , but there was evidence that the cost of care was lower
BACKGROUND Information technology-based interventions are increasingly being used to manage health care .
However , there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes .
OBJECTIVE The objective of this study was to conduct a systematic review and meta- analysis of clinical trials , assessing the impact of information technology on changes in the levels of hemoglobin A1c ( HbA1c ) and mapping the interventions with chronic care model ( CCM ) elements .