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 .
Outcomes of a multifaceted physical activity regimen as part of a diabetes self-management intervention
Background :  Physical activity ( PA )  is important for management of diabetes , yet practical interventions that achieve sustained behavior change are rare . Purpose : The goals of this research were to evaluate the effectiveness of a multifaceted PA intervention for people with type 2 diabetes that emphasized participant choice in activity selection . Baseline activity patterns were examined to determine whether they predicted changes in PA at 2 months . Methods : Three hundred thirty-five participants were recruited from 42 primary care physicians and then r and omized to either a computer-assisted , tailored self-management intervention ( N = 174 ) or health risk appraisal with feedback control ( N = 161 ) . Primary outcome measures included the Community Healthy Activities Model Program for Seniors Question naire , diet , and psychosocial assessment s at baseline and 2 months . Results : For 301 participants who completed the 2-month follow-up , the intervention significantly improved all PA ( p < .01 ) and moderate PA ( metabolic equivalents > 3.0 , p < .01 ) relative to controls . Baseline cluster analyses grouped participant activity patterns into three categories . At 2 months , cluster assignment differentially predicted change in calories expended in moderate , rote , sport , and lifestyle PA . Conclusions : A computer-assisted , multifaceted approach to PA demonstrated improvement after 2 months . The results suggest that individuals are capable of adjusting their activity patterns to maximize their PA
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 .