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 .
Rethink Organization to iMprove Education and Outcomes (ROMEO)
OBJECTIVE A trial was performed to establish whether our group care model for lifestyle intervention in type 2 diabetes can be exported to other clinics . RESEARCH DESIGN AND METHODS This study was a 4-year , two-armed , multicenter controlled trial in 13 hospital-based diabetes clinics in Italy ( current controlled trials no. IS RCT N19509463 ) . A total of 815 non – insulin-treated patients aged < 80 years with ≥1 year known diabetes duration were r and omized to either group or individual care . RESULTS After 4 years , patients in group care had lower A1C , total cholesterol , LDL cholesterol , triglycerides , systolic and diastolic blood pressure , BMI , and serum creatinine and higher HDL cholesterol ( P < 0.001 , for all ) than control subjects receiving individual care , despite similar pharmacological prescriptions . Health behaviors , quality of life , and knowledge of diabetes had become better in group care patients than in control subjects ( P < 0.001 , for all ) . CONCLUSIONS The favorable clinical , cognitive , and psychological outcomes of group care can be reproduced in different clinical setting
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 .