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 .
The effects of a web-based intervention on the physical outcomes associated with diabetes among adults age 60 and older: a randomized trial.
BACKGROUND The emergence of the World Wide Web in the last decade has made it feasible for the Internet to be a vehicle for chronic disease management . METHODS A r and omized controlled trial ( n = 62 ) testing the effects of a 6-month web-based intervention plus usual care , compared with usual care alone , among adults 60 years of age and older with diabetes . The outcomes were hemoglobin A1c ( HbA1c ) , blood pressure , weight , cholesterol , and high-density lipoprotein ( HDL ) levels . RESULTS A multivariate analysis of covariance controlling for all baseline outcome variables , age , gender , and number of years with diabetes showed significant ( P = 0.001 ) reductions in HbA1c , weight , and cholesterol level and significant improvement in HDL levels in the intervention versus the control group . CONCLUSIONS Findings show a web-based intervention was effective in improving HbA1c , weight , cholesterol , and HDL levels at a 6-month follow-up . Future research is needed to investigate the long-term effectiveness of web-based 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 .