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 .
Development and reach of a web-based cognitive behavioural therapy programme to reduce symptoms of depression and diabetes-specific distress.
OBJECTIVES There is an urgent need for more effective and efficient depression treatments in diabetes . We developed a diabetes-specific version of the Dutch web-based ' Coping with Depression ' ( CWD ) course . Here , we report on the development , reach , patients ' reasons for choosing our intervention and their characteristics . METHODS The CWD programme was amended for use in diabetes patients with co-morbid depression . Data were collected using a telephone interview , self-report question naires , and medical records . RESULTS Adding diabetes-specific topics to an effective web-based depression programme result ed in an 8-lesson intervention ( " www.diabetergestemd.nl " ) , with minimal guidance by coaches . In the framework of a r and omised trial , the intervention attracted serious interest of 540 patients . After screening , 255 depressed diabetes patients were enrolled . Less than half had a history of depression treatment ; 80 % reported the diabetes-specific approach to be an important reason for signing up . CONCLUSION We successfully developed a diabetes-specific version of the web-based CWD course , which attracted a large group of patients . Our results affirm the importance of addressing diabetes-specific issues in the context of depression treatment . PRACTICE IMPLICATION S Our intervention could be implemented on a large scale at low costs , and may serve as a model on how to develop other illness-specific online self-help interventions
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 .