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 application of two computerized diabetes management systems: comparison with the log-book method.
In two consecutive studies the clinical application and suitability of two computer-assisted data management systems ( Camit and Cadmo ) were evaluated in a prospect i ve manner . In each study nineteen long-st and ing , stable insulin-dependent patients were r and omly assigned to one of two groups . In study I assessment of metabolic control and insulin dose adjustments were based either on the Camit S1 data analysis or on the conventional log-book method , whereas in study II the Camit S2 and the Cadmo simulation programs were evaluated . HbA1c values decreased significantly in both studies ( p < 0.05 ) . A clear decline in hypoglycemic events as well as a significant reduction of the percentage of glucose values below 4.0 mmol/l ( p < 0.005 ) and a marked increase ( p < 0.05 ) in the percentage of glucose levels in the target range ( 4.0 - 10.0 mmol/l ) were observed . We found both computerized assessment systems to be reliable and suitable for the assessment of blood glucose control and for insulin dose finding . The graphical and statistical presentation of the numerous glucose and insulin data allowed a better summary of blood glucose control and metabolic trends . More time could be spent for problem solving , which proved to be much less exhausting with the computer for the attending physician . Further studies should address the educational potential of computerized systems for the patient as well as for the physician
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 .