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 care management in patients with poorly controlled diabetes.
OBJECTIVE To assess the effects of web-based care management on glucose and blood pressure control over 12 months in patients with poorly controlled diabetes . RESEARCH DESIGN AND METHODS For this study , 104 patients with diabetes and HbA(1c ) ( A1C ) > or = 9.0 % who received their care at a Department of Veterans Affairs medical center were recruited . All participants completed a  diabetes education class  and were r and omized to continue with their usual care ( n = 52 ) or receive web-based care management ( n = 52 ) . The web-based group received a notebook computer , glucose and blood pressure monitoring devices , and access to a care management website . The website provided educational modules , accepted uploads from monitoring devices , and had an internal messaging system for patients to communicate with the care manager . RESULTS Participants receiving web-based care management had lower A1C over 12 months ( P < 0.05 ) when compared with education and usual care . Persistent website users had greater improvement in A1C when compared with intermittent users ( -1.9 vs. -1.2 % ; P = 0.051 ) or education and usual care ( -1.4 % ; P < 0.05 ) . A larger number of website data uploads was associated with a larger decline in A1C ( highest tertile -2.1 % , lowest tertile -1.0 % ; P < 0.02 ) . Hypertensive participants in the web-based group had a greater reduction in systolic blood pressure ( P < 0.01 ) . HDL cholesterol rose and triglycerides fell in the web-based group ( P < 0.05 ) . CONCLUSIONS Web-based care management may be a useful adjunct in the care of patients with poorly controlled diabetes
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 .