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 .
Clinical Evaluation of Decision Support System for Insulin-Dose Adjustment in IDDM
Objective We developed a wallet-sized learning memory decision support system that helps patients with insulin-dependent diabetes mellitus adjust their insulin dosages . Research Design and Methods To determine the efficacy of the support system , we design ed a r and omized clinical trial with patients participating in a program in a diabetes education center . Patients were assigned to two groups of 21 patients each . All patients performed self-monitoring of blood glucose ( SMBG ) and were treated with multiple daily injections of insulin . Each of the patients was examined over a 32-day period . The basic educational program , i.e. , practical advice in SMBG , diet , and exercise under homelike conditions , was identical in both groups . The only difference was that the first group used the computer for adjusting the insulin dose , whereas the second group received recommendations from the education team . Results The baseline HbA1 levels ( 9.8 ± 1.6 vs. 9.9 ± 1.6 % ) of both groups did not differ significantly . Mean blood glucose over the last 2 wk of the study was higher ( P < 0.01 ) in the second group ( 8.4 ± 1.4 vs. 9.2 ± 2.0 mM ) ; the frequencies of hypoglycemic episodes were not different ( 1.7 vs. 2.3 % ) . Conclusions Metabolic control and safety were comparable in both groups . Thus , patients may benefit from such a system at home where no support by diabetes educators is available
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 .