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 .
Medicare payments, healthcare service use, and telemedicine implementation costs in a randomized trial comparing telemedicine case management with usual care in medically underserved participants with diabetes mellitus (IDEATel)
Objective To determine whether a diabetes case management telemedicine intervention reduced healthcare expenditures , as measured by Medicare cl aims , and to assess the costs of developing and implementing the telemedicine intervention . Design We studied 1665 participants in the Informatics for Diabetes Education and Telemedicine ( IDEATel ) , a r and omized controlled trial comparing telemedicine case management of diabetes to usual care . Participants were aged 55 years or older , and resided in federally design ated medically underserved areas of New York State . Measurements We analyzed Medicare cl aims payments for each participant for up to 60 study months from date of r and omization , until their death , or until December 31 , 2006 ( whichever happened first ) . We also analyzed study expenditures for the telemedicine intervention over six budget years ( February 28 , 2000- February 27 , 2006 ) . Results Mean annual Medicare payments ( SE ) were similar in the usual care and telemedicine groups , $ 9040 ( $ 386 ) and $ 9669 ( $ 443 ) per participant , respectively ( p>0.05 ) . Sensitivity analyses , including stratification by censored status , adjustment by enrollment site , and semi-parametric weighting by probability of dropping-out , rendered similar results . Over six budget years 28 821 participant/months of telemedicine intervention were delivered , at an estimated cost of $ 622 per participant/month . Conclusion Telemedicine case management was not associated with a reduction in Medicare cl aims in this medically underserved population . The cost of implementing the telemedicine intervention was high , largely representing special purpose hardware and software costs required at the time . Lower implementation costs will need to be achieved using lower cost technology in order for telemedicine case management to be more widely used
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 .