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 .
Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes.
BACKGROUND Cardiovascular morbidity is a major burden in patients with type 2 diabetes . In the Steno-2 Study , we compared the effect of a targeted , intensified , multifactorial intervention with that of conventional treatment on modifiable risk factors for cardiovascular disease in patients with type 2 diabetes and microalbuminuria . METHODS The primary end point of this open , parallel trial was a composite of death from cardiovascular causes , nonfatal myocardial infa rct ion , nonfatal stroke , revascularization , and amputation .  Eighty patients were r and omly assigned to receive conventional treatment in accordance with national guidelines and 80 to receive intensive treatment , with a stepwise implementation of behavior modification and pharmacologic therapy that targeted hyperglycemia , hypertension , dyslipidemia , and microalbuminuria , along with secondary prevention of cardiovascular disease with aspirin . RESULTS The mean age of the patients was 55.1 years , and the mean follow-up was 7.8 years . The decline in glycosylated hemoglobin values , systolic and diastolic blood pressure , serum cholesterol and triglyceride levels measured after an overnight fast , and urinary albumin excretion rate were all significantly greater in the intensive-therapy group than in the conventional-therapy group . Patients receiving intensive therapy also had a significantly lower risk of cardiovascular disease ( hazard ratio , 0.47 ; 95 percent confidence interval , 0.24 to 0.73 ) , nephropathy ( hazard ratio , 0.39 ; 95 percent confidence interval , 0.17 to 0.87 ) , retinopathy ( hazard ratio , 0.42 ; 95 percent confidence interval , 0.21 to 0.86 ) , and autonomic neuropathy ( hazard ratio , 0.37 ; 95 percent confidence interval , 0.18 to 0.79 ) . CONCLUSIONS A target-driven , long-term , intensified intervention aim ed at multiple risk factors in patients with type 2 diabetes and microalbuminuria reduces the risk of cardiovascular and microvascular events by about 50 percent
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 .