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 .
Cluster-Randomized Trial of a Mobile Phone Personalized Behavioral Intervention for Blood Glucose Control
OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year
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 .