There were three reported  deaths out of 3578 participants .Computer-based  diabetes self-management interventions currently have limited effectiveness .
Current interventions do not show adequate evidence for improving depression , health-related quality of life or weight .
AUTHORS ' CONCLUSIONS Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control and the effect was larger in the mobile phone subgroup .
There is no evidence to show benefits in other biological outcomes or any cognitive , behavioural or emotional outcomes
BACKGROUND Diabetes is one of the commonest chronic medical conditions , affecting around 347 million adults worldwide .
Structured patient education programmes reduce the risk of diabetes-related complications four-fold .
Internet-based self-management programmes have been shown to be effective for a number of long-term conditions , but it is unclear what are the essential or effective components of such programmes .
If computer-based self-management interventions improve outcomes in type 2 diabetes , they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition .
OBJECTIVES To assess the effects on health status and health-related quality of life of computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus .
Use of a real time continuous glucose monitoring system as a motivational device for poorly controlled type 2 diabetes.
OBJECTIVE The use of a real time continuous glucose monitoring system ( RT-CGM ) was studied as a behavior modification tool and the effectiveness of a RT-CGM in glucose control for patients with type 2 diabetes was determined . METHODS We conducted a prospect i ve , open-label , r and omized , controlled clinical trial in 65 patients with poorly controlled type 2 diabetes ( 8.0</=HbA1c</=10 % ) over a 3-month period . The intervention group was monitored monthly with a RT-CGM ( three days at a time for 3 months ) and the control group continued self-monitoring blood glucose ( SMBG ) at least four times a week for 3 months . RESULTS The HbA1c of the RT-CGM group was significantly reduced after 12 weeks compared with the SMBG group ( 9.1+/-1.0 % to 8.0+/-1.2 % vs. 8.7+/-0.7 % to 8.3+/-1.1 % , respectively ; P=0.004 ) . In the RT-CGM group , there was a significant reduction in total daily calorie intake , weight , body mass index ( BMI ) , and postpr and ial glucose level , and a significant increase in total exercise time per week after 3 months . CONCLUSIONS We demonstrated that the RT-CGM was useful in modifying a patient 's diet and exercise habits and could induce better glycemic control than SMBG for patients with type 2 diabetes
There were three reported  deaths out of 3578 participants .Computer-based  diabetes self-management interventions currently have limited effectiveness .
Current interventions do not show adequate evidence for improving depression , health-related quality of life or weight .
AUTHORS ' CONCLUSIONS Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control and the effect was larger in the mobile phone subgroup .
There is no evidence to show benefits in other biological outcomes or any cognitive , behavioural or emotional outcomes
BACKGROUND Diabetes is one of the commonest chronic medical conditions , affecting around 347 million adults worldwide .
Structured patient education programmes reduce the risk of diabetes-related complications four-fold .
Internet-based self-management programmes have been shown to be effective for a number of long-term conditions , but it is unclear what are the essential or effective components of such programmes .
If computer-based self-management interventions improve outcomes in type 2 diabetes , they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition .
OBJECTIVES To assess the effects on health status and health-related quality of life of computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus .