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 .
Impact of automated calls with nurse follow-up on diabetes treatment outcomes in a Department of Veterans Affairs Health Care System: a randomized controlled trial.
OBJECTIVE We evaluated automated telephone disease management ( ATDM ) with telephone nurse follow-up as a strategy for improving diabetes treatment processes and outcomes in Department of Veterans Affairs ( VA ) clinics . We also compared the results with those of a prior ATDM trial conducted in a county health care system . RESEARCH DESIGN AND METHODS A total of 272 VA patients with diabetes using hypoglycemic medications were r and omized . During the 1-year study period , intervention patients received biweekly ATDM health assessment and self-care education calls , and a nurse educator followed up with patients based on their ATDM assessment reports . Telephone surveys were used to measure patients ' self-care , symptoms , and satisfaction with care . Outpatient service use was evaluated using electronic data bases and self-reports , and glycemic control was measured by HbA1c and serum glucose testing . RESULTS At 12 months , intervention patients reported more frequent glucose self-monitoring and foot inspections than patients receiving usual care and were more likely to be seen in podiatry and diabetes specialty clinics . Intervention patients also were more likely than control patients to have had a cholesterol test . Among patients with baseline HbA1c levels > or = 8 % , mean end-point values were lower among intervention patients than control patients ( 8.7 vs. 9.2 % , respectively ; P = 0.04 ) . Among intervention and control patients with baseline values > or = 9 % , mean end-point values were 9.1 and 10.2 % , respectively ( P = 0.04 ) . At follow-up , intervention patients reported fewer symptoms of poor glycemic control than control patients and greater satisfaction with their health care . CONCLUSIONS This intervention improved the quality of VA diabetes care . Intervention effects for most end points replicated findings from the prior county clinic trial , although intervention-control differences in the current study were smaller because of the relatively good self-care and health status among the current study 's enrollees
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 .