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 .
Effects of a brief computer-assisted diabetes self-management intervention on dietary, biological and quality-of-life outcomes
Objective : There is a need for practical , efficient and broad-reaching diabetes self-management interventions that can produce changes in lifestyle behaviours such as healthy eating and weight loss . The objective of this study was to evaluate such a computer-assisted intervention . Methods : Type 2 diabetes primary care patients ( n=335 ) from fee-for-service and health maintenance organization setting s were r and omized to social cognitive theory-based tailored self-management ( TSM ) or computer-aided enhanced usual care ( UC ) .  Intervention consisted of computer-assisted self-management assessment and feedback , tailored goal - setting , barrier identification , and problem-solving , followed by health counsellor interaction and follow-up calls . Outcomes were changes in dietary behaviours ( fat and fruit/vegetable intake ) , haemoglobin A1c ( HbA1c ) , lipids , weight , quality of life , and depression . Results : TSM patients reduced dietary fat intake and weight significantly more than UC patients at the 2-month follow-up . Among patients having elevated levels of HbA1c , lipids or depression at baseline , there were consistent directional trends favouring intervention , but these differences did not reach significance . The intervention proved feasible and was implemented successfully by a variety of staff . Conclusions : This relatively low-intensity intervention appealed to a large , generally representative sample of patients , was well implemented , and produced improvement in targeted behaviours . Implication s of this practical clinical trial for dissemination are discussed
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 .