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 .
Home telehealth reduces healthcare costs.
The aim of this study was to determine whether home telehealth , when integrated with the health facility 's electronic medical record system , reduces healthcare costs and improves quality -of-life outcomes relative to usual home healthcare services for elderly high re source users with complex co-morbidities . Study patients were identified through the medical center 's data base . Intervention patients received home telehealth units that used st and ard phone lines to communicate with the hospital . FDA -approved peripheral devices monitored vital signs and valid question naires were used to evaluate quality -of-life outcomes . Out-of-range data triggered electronic alerts to nurse case managers . ( No live video or audio was incorporated in either direction . ) Templated progress notes facilitated seamless data entry into the patient 's electronic medical record . Participants ( n = 104 ) with complex heart failure , chronic lung disease , and /or diabetes mellitus were r and omly assigned to an intervention or control group for 6 - 12 months . Parametric and nonparametric analyses were performed to compare outcomes for ( 1 ) subjective and objective quality -of-life measures , ( 2 ) health re source use , and ( 3 ) costs . In contrast to the control group , scores for home telehealth subjects showed a statistically significant decrease at 6 months for bed-days-of-care ( p < 0.0001 ) , urgent clinic/emergency room visits ( p = 0.023 ) , and A1C levels ( p < 0.0001 ) ; at 12 months for cognitive status ( p < 0.028 ) ; and at 3 months for patient satisfaction ( p < 0.001 ) . Functional levels and patient-rated health status did not show a significant difference for either group . Integrating home telehealth with the healthcare institution 's electronic data base significantly reduces re source use and improves cognitive status , treatment compliance , and stability of chronic disease for homebound elderly with common complex co-morbidities
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 .