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 .
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 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 .