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 .
Long-term effects and costs of brief behavioural dietary intervention for patients with diabetes delivered from the medical office.
This study evaluated the 12-month follow-up results and costs of a personalized , medical office-based intervention focused on behavioral issues related to dietary self-management . Two hundred and six adults having diabetes attending an internal medicine outpatient clinic visit were r and omized to either Usual Care or to Brief Intervention . The single session intervention involved touchscreen computer-assisted assessment that provided immediate feedback on key barriers to dietary self-management , goal setting and problem-solving counselling . Follow-up components included phone calls and videotape intervention relevant to each participant . Brief Intervention produced significantly greater improvement than Usual Care on multiple measures of change in dietary behaviour ( e.g. , covariate adjusted difference of 2.2 % of calories from fat ; p = 0.023 ) and on serum cholesterol levels ( covariate adjusted difference of 15 mg/dl ; p = 0.002 ) at 12-month follow-up . There were also significant differences favouring intervention on patient satisfaction ( p < 0.02 ) but not on HbA1c levels . The costs of intervention ( $ 137 per patient ) were modest relative to many commonly used practice
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 .