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 .
A randomized, controlled trial of an automated wireless messaging system for diabetes.
BACKGROUND Aggressive management of blood glucose reduces future diabetes-related complications , but this is difficult to achieve . METHODS This r and omized , controlled study tested the effect of using a wireless two-way pager-based automated messaging system to improve diabetes control through facilitated self-management . The system sent health-related messages to patients , with automatic forwarding of urgent patient responses to the health care team . RESULTS Participants in both the experimental ( pager ) and the control groups experienced an average hemoglobin A1c decrease of 0.1 - 0.3 % . More patients in the pager group were  normotensive  , and more felt that their health care was better by the end of the study . A total of 79 % of participants enjoyed using the pager , and 68 % wanted to continue using the system . CONCLUSIONS Utilizing a wireless , automated messaging system in clinical practice is a feasible , low-cost , interactive way to facilitate diabetes self-management , which is acceptable to patients . While providing a convenient way for patients and providers to communicate , this system can support automated recording and ready retrieval of these real-time interactions
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 .