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 .
Clinic-based support to help overweight patients with type 2 diabetes increase physical activity and lose weight.
BACKGROUND Our objective was to test the effect of physicians providing brief health lifestyle counseling to patients with type 2 diabetes mellitus during usual care visits . METHODS We conducted a r and omized controlled trial of a 12-month intervention at 2 large community health centers , enrolling 310 patients with a body mass index ( calculated as weight in kilograms divided by height in meters squared ) of 25 or greater . In the intervention group , self-management goals for nutrition and physical activity were set using a tailored computer program . Goals were then review ed at each clinic visit by physicians . The control group received only printed health education material s. The main outcome measures included change in physical activity and body weight . RESULTS In the intervention group , recommended levels of physical activity increased from 26 % at baseline to 53 % at 12 months ( P < .001 ) compared with controls ( 30 % to 37 % ; P= .27 ) , and 32 % of patients in the intervention group lost 6 or more pounds at 12 months compared with 18.9 % of controls ( odds ratio , 2.2 ; P= .006 ) . CONCLUSION A brief intervention to increase the dialogue between patients and health care providers about behavioral goals can lead to increased physical activity and weight loss
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 .