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 Effect of the Internet-Based Glucose Monitoring System on HbA1c Reduction and Glucose Stability
OBJECTIVE —To investigate the long-term effectiveness of the Internet-based glucose monitoring system ( IBGMS ) on glucose control in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS —We conducted a prospect i ve , r and omized , controlled trial in 80 patients with type 2 diabetes for 30 months . The intervention group was treated with the IBGMS , while the control group made conventional office visits only . HbA1c ( A1C ) was performed at 3-month intervals . For measuring of the stability of glucose control , the SD value of A1C levels for each subject was used as the A1C fluctuation index ( HFI ) . RESULTS —The mean A1C and HFI were significantly lower in the intervention group ( n = 40 ) than in the control group ( n = 40 ) . ( A1C [ mean ± SD ] 6.9 ± 0.9 vs. 7.5 ± 1.0 % , P = 0.009 ; HFI 0.47 ± 0.23 vs. 0.78 ± 0.51 , P = 0.001 ; intervention versus control groups , respectively ) . Patients in the intervention group with a basal A1C ≥7 % ( n = 27 ) had markedly lower A1C levels than corresponding patients in the control group during the first 3 months and maintained more stable levels throughout the study ( P = 0.022 ) . Control patients with a basal A1C < 7 % ( n = 15 ) showed the characteristic bimodal distribution of A1C levels , whereas the A1C levels in the intervention group remained stable throughout the study with low HFI . CONCLUSIONS —Long-term use of the IBGMS has proven to be superior to conventional diabetes care systems based on office visits for controlling blood glucose and achieving glucose stability
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 .