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 .
Evaluating the impact of mobile telephone technology on type 2 diabetic patients' self-management: the NICHE pilot study.
RATIONALE , AIMS AND OBJECTIVES Utilizing information technology , such as Internet and cellphones , holds great promise in enhancing diabetic care . Yet few studies have examined the impact of cellphone technology on type 2 diabetics ' self-care . The primary aim of the study is to examine the feasibility of utilizing this technology to assist with diabetes self-care in a clinic population as well as its impact on clinical outcomes . METHODS Thirty patients with a diagnosis of type 2 diabetes at two Community Health Centers were r and omized to intervention or control . Intervention patients participated in a brief intervention and received tailored daily messages via cellphone prompting them to enhance their diabetic self-care behaviour .  Patients at the control site continued with their st and ard diabetes self-management .  RESULTS A mean improvement in HbA1c levels was apparent ( -0.1 , SD = 0.3 % ; P = 0.1534 ) in the intervention group , compared with a mean deterioration in the control ( 0.3 , SD = 1.0 % ; P = 0.3813 ) , yet without statistical significance . Self-efficacy scores improved significantly in the intervention group ( -0.5 , SD = 0.6 ; P = 0.0080 ) compared with no improvement in the control ( 0.0 , SD = 1.0 ; P = 0.9060 ) . Participants encountered numerous technological barriers when attempting to adhere to the intervention protocol . CONCLUSION The results indicate the intervention had a positive impact on some clinical outcome and self-efficacy . Although the technology appears feasible in a clinical setting technology must be made more user-friendly before a larger phase II trial is conducted
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 .