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 .
Brief, Computer-Assisted Diabetes Dietary Self-Management Counseling: Effects on Behavior, Physiologic Outcomes, and Quality of Life
Objectives .The objective of this work was to evaluate the reach , effectiveness , adoption , and implementation of a brief behavioral dietary intervention and 2 supplemental components of diabetes self-management support : telephone follow-up calls and community re sources enhancement . Design and Subjects . This was a 2 × 2 r and omized , controlled trial investigating the incremental effects of telephone follow-up and community re sources enhancement with 320 adult type 2 diabetes out patients . Methods .Key outcomes included behavioral ( dietary patterns , fat intake ) , physiologic ( HbA1C , lipids ) , and quality -of-life/patient satisfaction measures and were collected at baseline and 3- and 6-month follow-up . Results .Despite high reach ( 76 % patient participation ) , excellent adoption ( all 12 primary care practice s approached participated ) , and good implementation , there were few outcome differences among treatment conditions . There was significant improvement across conditions in most outcomes in each category at both follow-ups . Conclusions .A brief , computer-assisted , dietary goal – setting intervention basic treatment condition was moderately successful in producing dietary improvements but less so in producing biologic or quality -of-life outcomes . Additions of follow-up phone calls or a community re sources enhancement component did not produce incremental improvements over this basic intervention
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 .