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 .
Web-Based Depression Treatment for Type 1 and Type 2 Diabetic Patients
OBJECTIVE Comorbid depression is common in patients with type 1 and type 2 diabetes , adversely affecting quality of life , diabetes outcomes , and mortality . Depression can be effectively treated with cognitive behavior therapy ( CBT ) . The Internet is a new and attractive method for delivering CBT intervention on a large scale at relatively low costs . This study evaluated the effectiveness of Web-based CBT for depression treatment in adults with type 1 or type 2 diabetes , with minimal guidance . RESEARCH DESIGN AND METHODS A r and omized controlled trial was conducted in the Netherl and s in 255 adult diabetic patients with elevated depressive symptoms . Primary outcomes were depressive symptoms . Secondary outcomes were diabetes-specific emotional distress and glycemic control . Assessment s were at baseline , after treatment , and at the 1-month follow-up . RESULTS The Web-based CBT was effective in reducing depressive symptoms by intention-to-treat analyses ( P = 0.04 , d = 0.29 ; clinical improvement 41 % vs. 24 % P < 0.001 ) and by per- protocol analyses ( P < 0.001 , d = 0.70 ; clinical improvement , 56 % vs. 24 % P < 0.001 ) . The intervention reduced diabetes-specific emotional distress ( P = 0.03 ) but had no beneficial effect on glycemic control ( P > 0.05 ) . CONCLUSIONS Web-based CBT depression treatment is effective in reducing depressive symptoms in adults with type 1 and type 2 diabetes . In addition , the intervention reduces diabetes-specific emotional distress in depressed patients
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 .