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 computer-tailored message on secondary prevention in type 2 diabetes: a randomized trial.
The purpose of this study was to test the effect of computer-generated , tailored feedback on the quality of chronic disease management for type 2 diabetes when provided to a patient prior to a scheduled physician visit . A st and -alone computer application was developed to provide tailored feedback aim ed at empowering patients to engage more actively in their diabetes management . Adults with type 2 diabetes ( n = 203 ) were r and omly assigned to groups receiving either efficacy ( positive ) messages ( n = 68 ) , risk ( negative ) messages ( n = 67 ) , or to a delayed treatment control group ( n = 68 ) . The intervention was delivered prior to a patient 's visit with his or her physician so that patients would have the opportunity to discuss the messages at the clinical appointment . Although there were no significant differences in the percentage of participants who received intensified care or routine tests between the control and intervention groups , we learned that more directive messaging may be needed to help patients effectively manage their diabetes . Patients may benefit from directive feedback , providing them with specific questions to ask their physician that can lead to improved care , rather than receiving general and educational informational messages
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 .