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 .
Effect of Computer-Generated Tailored Feedback on Glycemic Control in People With Diabetes in the Community
OBJECTIVE It is unknown whether computer-generated , patient-tailored feedback leads to improvements in glycemic control in people with type 2 diabetes . RESEARCH DESIGN AND METHODS We recruited people with type 2 diabetes aged ≥40 years with a glycated hemoglobin ( A1C ) ≥7 % , living in Hamilton , Canada , who were enrolled in a community-based program ( Diabetes Hamilton ) that provided regular evidence -based information and listings of community re sources design ed to facilitate diabetes self-management . After completing a question naire , participants were r and omly allocated to either receive or not receive periodic computer-generated , evidence -based feedback on the basis of their question naire responses and design ed to facilitate improved glycemic control and diabetes self-management . The primary outcome was a change in A1C after 1 year . RESULTS A total of 465 participants ( 50 % women , mean age 62 years , and mean A1C 7.83 % ) were r and omly assigned , and 12-month A1C values were available in 96 % of all participants , at which time the A1C level had decreased by an absolute amount of 0.24 and 0.15 % in the intervention and control groups , respectively . The difference in A1C reduction for the intervention versus control group was 0.09 % ( 95 % CI −0.08 to 0.26 ; P = 0.3 ) . No between-group differences in measures of quality of life , diabetes self-management behaviors , or clinical outcomes were observed . CONCLUSIONS Providing computer-generated tailored feedback to registrants of a generic , community-based program that supports diabetes self-management does not lead to lower A1C levels or a better quality of life than participation in the community-based program ( augmented by periodic A1C testing ) alone
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 .