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 .
Automated telephone reminder messages can assist electronic diabetes care
Summary Telephone reminder systems have been used to assist in the treatment of many chronic diseases . However , it is unclear if these systems can increase medication and appointment adherence in patients with diabetes without direct patient – provider telephone contact . We tested the feasibility of using an automated telephone reminder system ( ATRS ) to deliver reminder messages to 253 adults with diabetes enrolled in a r and omized controlled trial . Eighty-four percent of the patients were able to register using voice recognition and at least one reminder was delivered to 95 % of registered patients over a period of 7.5 months . None of the demographic features studied predicted a patient 's ability to enrol or to receive reminder calls . At the end of the study , 63 % of patients indicated that they wished to continue to receive ATRS calls . The level of system use as determined by the number of received reminder calls was not associated with a change in the number of physician visits or diabetes-related laboratory tests during follow-up . The clinical benefits and sustainability of ATRS remain unproven , but our results indicate that an automated reminder system can be effective for providing messages to a large group of older patients with diabetes
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 .