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 .
A Ubiquitous Chronic Disease Care system using cellular phones and the internet.
AIMS The rapidly increasing prevalence of chronic diseases is an important challenge to healthcare systems worldwide . To improve the quality and efficiency of chronic disease care , we investigated the effectiveness and applicability of the Ubiquitous Chronic Disease Care ( UCDC ) system using cellular phones and the internet for overweight patients with both Type 2 diabetes and hypertension . METHODS We conducted a r and omized , controlled clinical trial over 3 months that included 123 patients at a university hospital and a community public health centre . RESULTS After 12 weeks , there were significant improvements in HbA(1c ) in the intervention group ( 7.6 + /- 0.9 % to 7.1 + /- 0.8 % , P < 0.001 ) compared with the control group ( 7.4 + /- 0.9 % to 7.6 + /- 1.0 % , P = 0.03 ) . Furthermore , we observed a significant reduction in systolic and diastolic blood pressure , as well as improvements in total cholesterol , low-density lipoprotein-cholesterol and triglyceride levels in the intervention group . Furthermore , there was a significant increase in adiponectin levels in the intervention group compared with the control group , although high-sensitivity C-reactive protein and interleukin-6 levels did not change in either group . CONCLUSIONS The novel UCDC system presented in this paper improved multiple metabolic parameters simultaneously in overweight patients with both Type 2 diabetes and hypertension
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 .