There was no evidence of improvement in depression , quality of life , blood pressure , serum lipids , or weight .
There was no evidence of significant adverse effects .
CONCLUSIONS Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control , and this effect was larger in the mobile phone subgroup .
There was no evidence of benefit for other biological , cognitive , behavioral , or emotional outcomes
OBJECTIVE Structured patient education programs can reduce the risk of diabetes-related complications .
However , people appear to have difficulties attending face-to-face education and alternatives are needed .
This review looked at the impact of computer-based diabetes self-management interventions on health status , cardiovascular risk factors , and quality of life of adults with type 2 diabetes .
A randomized, controlled trial of an automated wireless messaging system for diabetes.
BACKGROUND Aggressive management of blood glucose reduces future diabetes-related complications , but this is difficult to achieve . METHODS This r and omized , controlled study tested the effect of using a wireless two-way pager-based automated messaging system to improve diabetes control through facilitated self-management . The system sent health-related messages to patients , with automatic forwarding of urgent patient responses to the health care team . RESULTS Participants in both the experimental ( pager ) and the control groups experienced an average hemoglobin A1c decrease of 0.1 - 0.3 % . More patients in the pager group were  normotensive  , and more felt that their health care was better by the end of the study . A total of 79 % of participants enjoyed using the pager , and 68 % wanted to continue using the system . CONCLUSIONS Utilizing a wireless , automated messaging system in clinical practice is a feasible , low-cost , interactive way to facilitate diabetes self-management , which is acceptable to patients . While providing a convenient way for patients and providers to communicate , this system can support automated recording and ready retrieval of these real-time interactions
There was no evidence of improvement in depression , quality of life , blood pressure , serum lipids , or weight .
There was no evidence of significant adverse effects .
CONCLUSIONS Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control , and this effect was larger in the mobile phone subgroup .
There was no evidence of benefit for other biological , cognitive , behavioral , or emotional outcomes
OBJECTIVE Structured patient education programs can reduce the risk of diabetes-related complications .
However , people appear to have difficulties attending face-to-face education and alternatives are needed .
This review looked at the impact of computer-based diabetes self-management interventions on health status , cardiovascular risk factors , and quality of life of adults with type 2 diabetes .