human
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: OBJECTIVE This study was design ed to evaluate the impact of a teleassistance system on the metabolic control of type 2 diabetes patients . RESEARCH DESIGN AND METHODS We conducted a 1-year controlled parallel-group trial comparing patients r and omized ( 1 ) to an intervention group , assigned to a teleassistance system using real-time transmission of blood glucose results , with immediate reply when necessary , and telephone consultations , or ( 2 ) to a control group , being regularly followed-up at their healthcare center . Study subjects were type 2 diabetes patients > 30 years of age followed in the primary care setting . RESULTS A total of 328 type 2 diabetes patients were recruited from 35 family practice s in the province of Málaga , Spain . There was a reduction in hemoglobin A1c after 12 months from 7.62 + /- 1.60 % to 7.40 + /- 1.43 % ( P = 0.027 ) in the intervention group and from 7.44 + /- 1.31 % to 7.35 + /- 1.38 % ( P = 0.303 ) in the control group . The difference in the change between groups was not statistically significant . There was also a significant decrease in systolic and diastolic blood pressure , total cholesterol , low-density lipoprotein cholesterol , and body mass index in the intervention group . In the control group , the only significant decline was in low-density lipoprotein cholesterol . CONCLUSIONS A teleassistance system using real-time transmission of blood glucose results with an option to make telephone consultations is feasible in the primary care setting as a support tool for family physicians in their follow-up of type 2 diabetes patients Sustained improvement in blood glucose control is the only treatment outcome which will reduce or eliminate the long term complications of diabetes mellitus . We have design ed and evaluated an electronic information system which facilitates this task . The system is voice-interactive , physician directed and affords , to remote patients , 24 h access via touch-tone telephone . Accordingly , patients access the system each day to report self-measured blood glucose levels or hypoglycaemic symptoms together with dietary changes , planned exercise , stress , illness or other lifestyle events . In turn they receive immediate advice with respect to medication dosing changes , and other pertinent feedback . Preliminary system beta-testing for safety and efficacy was performed for one year in an open study of 204 patients derived from two independent , health-care environments . Among the two testing centres , over 60,000 telephone cells were received by the computer systems during the start-up year . Safety and efficacy expectations were met . In addition , prevalence of diabetes related crises ( hyperglycaemia or hypoglycaemia ) fell approximately 3-fold . Glycated haemoglobin fell significantly ( 1.0 - 1.3 % ) in patients actively using the system . In control groups of patients not actively using the system , there were no improvements in metabolic control while body weights were stable in all groups . The new system was safe and effective in our h and s and empowered our health professionals to provide improved diabetes care BACKGROUND Telehome care has been proposed as a solution to the challenges of providing effective and affordable care for patients with diabetes . METHODS A total of 100 adult patients with type 2 diabetes-divided between insulin and noninsulin requiring-was enrolled in a r and omized , controlled trial aim ed at investigating the effects of telehome monitoring . The experimental group ( n = 50 ) received an in-home wireless glucose monitor and transmitter , whereas the control group ( n = 50 ) was instructed to follow the conventional arrangement . RESULTS There was an overall reduction in HbA1c values in both experimental and control groups after 6 months . A significant difference in HbA1c values between the groups was observed only among the noninsulin-requiring patients ( decline from 6.95 % ± 0.82 % to 6.66 % ± 0.86 % in IB vs. 7.21 % ± 2.02 % to 7.2 % ± 1.86 % in IIB ; p = 0.02 ) . The experimental group reported considerably less hyperglycemic and hypoglycemic events . The profile of the patient who benefited the most from telemonitoring consisted of older , more educated patient who had acquired the disease relatively recently , and who spends most of the time at home . The experimental group had higher overall scores on quality of life measures and sense of control over diabetes . There was a positive association between educational attainment and ability to use the telemonitoring system without help ( p = 0.045 ) . CONCLUSIONS Although not conclusive because of the small sample and short observation period , the study suggests that telehome monitoring is an effective tool in controlling type 2 diabetes in a primary care setting OBJECTIVE To assess the effects of web-based care management on glucose and blood pressure control over 12 months in patients with poorly controlled diabetes . RESEARCH DESIGN AND METHODS For this study , 104 patients with diabetes and HbA(1c ) ( A1C ) > or = 9.0 % who received their care at a Department of Veterans Affairs medical center were recruited . All participants completed a  diabetes education class  and were r and omized to continue with their usual care ( n = 52 ) or receive web-based care management ( n = 52 ) . The web-based group received a notebook computer , glucose and blood pressure monitoring devices , and access to a care management website . The website provided educational modules , accepted uploads from monitoring devices , and had an internal messaging system for patients to communicate with the care manager . RESULTS Participants receiving web-based care management had lower A1C over 12 months ( P < 0.05 ) when compared with education and usual care . Persistent website users had greater improvement in A1C when compared with intermittent users ( -1.9 vs. -1.2 % ; P = 0.051 ) or education and usual care ( -1.4 % ; P < 0.05 ) . A larger number of website data uploads was associated with a larger decline in A1C ( highest tertile -2.1 % , lowest tertile -1.0 % ; P < 0.02 ) . Hypertensive participants in the web-based group had a greater reduction in systolic blood pressure ( P < 0.01 ) . HDL cholesterol rose and triglycerides fell in the web-based group ( P < 0.05 ) . CONCLUSIONS Web-based care management may be a useful adjunct in the care of patients with poorly controlled diabetes Online patient portals , which provide patients with personal information and facilitate electronic doctor-patient communication , can help patients manage chronic diseases . These systems will be most beneficial if they have broad and durable appeal . In a r and omized trial , we compared a portal providing generic diabetes self-management information to one providing personalized information ( Diabetes-STAR ) . We assessed ( 1 ) the characteristics of patient-users  and ( 2 ) whether including personalized content promotes sustained use OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year BACKGROUND Blood glucose monitoring is an important component of diabetes self-management for individuals with insulin-treated diabetes . Although patient-maintained logbooks are routinely used , glucose values may be inaccurately recorded or not recorded at all . Electronic logbooks may help overcome such problems . We conducted a r and omized , controlled trial ( RCT ) to compare glycemic control in insulin-treated participants using  integrated glucose meters and electronic logbooks ( Electronic Group ) with participants using conventional meters and paper logbooks ( Paper Group ) , and to determine persistence of glycemic improvements during long-term observational follow-up . METHODS After a 4-week run-in , adult and pediatric participants ( n = 205 ) with stable hemoglobin A(1C ) ( A1C ) > or=8.0 % were r and omized , and their logbook data and A1C were monitored every 4 weeks for 16 weeks . After the RCT , patients selected their monitoring systems and resumed usual care . The four result ing subgroups , defined by whether patients continued or changed monitoring systems , were reassessed after 26 - 65 weeks . RESULTS During the RCT , mean A1C decreased -0.27 % in the Paper Group and -0.35 % in the Electronic Group . Repeated- measures analysis revealed that the mean decrease was significantly greater in the Electronic than the Paper Group ( P = 0.022 ) . From r and omization through observational follow-up , participants consistently using integrated meters/logbooks had an A1C decrease of -0.36 % ( P = 0.008 ) , whereas participants using conventional meters/logbooks throughout or switching meters returned to pre-enrollment A1C levels . CONCLUSIONS Compared to conventional monitoring systems , use of an integrated meter and electronic logbook result ed in modest , but significant and sustained , improvement in A1C in insulin-treated patients with suboptimal glycemic control during an RCT and observational follow-up BACKGROUND Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness . METHODS The authors conducted a r and omized , controlled trial comparing telemedicine case management to usual care , with blinding of those obtaining outcome data , in 1,665 Medicare recipients with diabetes , aged 55 years or greater , and living in federally design ated medically underserved areas of New York State . The primary endpoints were HgbA1c , blood pressure , and low-density lipoprotein ( LDL ) cholesterol levels . RESULTS In the intervention group ( n = 844 ) , mean HgbA1c improved over one year from 7.35 % to 6.97 % and from 8.35 % to 7.42 % in the subgroup with baseline HgbA1c > or = 7 % ( n = 353 ) . In the usual care group ( n = 821 ) mean HgbA1c improved over one year from 7.42 % to 7.17 % . Adjusted net reductions ( one-year minus baseline mean values in each group , compared between groups ) favoring the intervention were as follows : HgbA1c , 0.18 % ( p = 0.006 ) , systolic and diastolic blood pressure , 3.4 ( p = 0.001 ) and 1.9 mm Hg ( p < 0.001 ) , and LDL cholesterol , 9.5 mg/dL ( p < 0.001 ) . In the subgroup with baseline HgbA1c > or = 7 % , net adjusted reduction in HgbA1c favoring the intervention group was 0.32 % ( p = 0.002 ) . Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dL. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York . CONCLUSION Telemedicine case management improved glycemic control , blood pressure levels , and total and LDL cholesterol levels at one year of follow-up BACKGROUND Our objective was to test the effect of physicians providing brief health lifestyle counseling to patients with type 2 diabetes mellitus during usual care visits . METHODS We conducted a r and omized controlled trial of a 12-month intervention at 2 large community health centers , enrolling 310 patients with a body mass index ( calculated as weight in kilograms divided by height in meters squared ) of 25 or greater . In the intervention group , self-management goals for nutrition and physical activity were set using a tailored computer program . Goals were then review ed at each clinic visit by physicians . The control group received only printed health education material s. The main outcome measures included change in physical activity and body weight . RESULTS In the intervention group , recommended levels of physical activity increased from 26 % at baseline to 53 % at 12 months ( P < .001 ) compared with controls ( 30 
    Output:
    
agent
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
***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: OBJECTIVE This study was design ed to evaluate the impact of a teleassistance system on the metabolic control of type 2 diabetes patients . RESEARCH DESIGN AND METHODS We conducted a 1-year controlled parallel-group trial comparing patients r and omized ( 1 ) to an intervention group , assigned to a teleassistance system using real-time transmission of blood glucose results , with immediate reply when necessary , and telephone consultations , or ( 2 ) to a control group , being regularly followed-up at their healthcare center . Study subjects were type 2 diabetes patients > 30 years of age followed in the primary care setting . RESULTS A total of 328 type 2 diabetes patients were recruited from 35 family practice s in the province of Málaga , Spain . There was a reduction in hemoglobin A1c after 12 months from 7.62 + /- 1.60 % to 7.40 + /- 1.43 % ( P = 0.027 ) in the intervention group and from 7.44 + /- 1.31 % to 7.35 + /- 1.38 % ( P = 0.303 ) in the control group . The difference in the change between groups was not statistically significant . There was also a significant decrease in systolic and diastolic blood pressure , total cholesterol , low-density lipoprotein cholesterol , and body mass index in the intervention group . In the control group , the only significant decline was in low-density lipoprotein cholesterol . CONCLUSIONS A teleassistance system using real-time transmission of blood glucose results with an option to make telephone consultations is feasible in the primary care setting as a support tool for family physicians in their follow-up of type 2 diabetes patients Sustained improvement in blood glucose control is the only treatment outcome which will reduce or eliminate the long term complications of diabetes mellitus . We have design ed and evaluated an electronic information system which facilitates this task . The system is voice-interactive , physician directed and affords , to remote patients , 24 h access via touch-tone telephone . Accordingly , patients access the system each day to report self-measured blood glucose levels or hypoglycaemic symptoms together with dietary changes , planned exercise , stress , illness or other lifestyle events . In turn they receive immediate advice with respect to medication dosing changes , and other pertinent feedback . Preliminary system beta-testing for safety and efficacy was performed for one year in an open study of 204 patients derived from two independent , health-care environments . Among the two testing centres , over 60,000 telephone cells were received by the computer systems during the start-up year . Safety and efficacy expectations were met . In addition , prevalence of diabetes related crises ( hyperglycaemia or hypoglycaemia ) fell approximately 3-fold . Glycated haemoglobin fell significantly ( 1.0 - 1.3 % ) in patients actively using the system . In control groups of patients not actively using the system , there were no improvements in metabolic control while body weights were stable in all groups . The new system was safe and effective in our h and s and empowered our health professionals to provide improved diabetes care BACKGROUND Telehome care has been proposed as a solution to the challenges of providing effective and affordable care for patients with diabetes . METHODS A total of 100 adult patients with type 2 diabetes-divided between insulin and noninsulin requiring-was enrolled in a r and omized , controlled trial aim ed at investigating the effects of telehome monitoring . The experimental group ( n = 50 ) received an in-home wireless glucose monitor and transmitter , whereas the control group ( n = 50 ) was instructed to follow the conventional arrangement . RESULTS There was an overall reduction in HbA1c values in both experimental and control groups after 6 months . A significant difference in HbA1c values between the groups was observed only among the noninsulin-requiring patients ( decline from 6.95 % ± 0.82 % to 6.66 % ± 0.86 % in IB vs. 7.21 % ± 2.02 % to 7.2 % ± 1.86 % in IIB ; p = 0.02 ) . The experimental group reported considerably less hyperglycemic and hypoglycemic events . The profile of the patient who benefited the most from telemonitoring consisted of older , more educated patient who had acquired the disease relatively recently , and who spends most of the time at home . The experimental group had higher overall scores on quality of life measures and sense of control over diabetes . There was a positive association between educational attainment and ability to use the telemonitoring system without help ( p = 0.045 ) . CONCLUSIONS Although not conclusive because of the small sample and short observation period , the study suggests that telehome monitoring is an effective tool in controlling type 2 diabetes in a primary care setting OBJECTIVE To assess the effects of web-based care management on glucose and blood pressure control over 12 months in patients with poorly controlled diabetes . RESEARCH DESIGN AND METHODS For this study , 104 patients with diabetes and HbA(1c ) ( A1C ) > or = 9.0 % who received their care at a Department of Veterans Affairs medical center were recruited . All participants completed a  diabetes education class  and were r and omized to continue with their usual care ( n = 52 ) or receive web-based care management ( n = 52 ) . The web-based group received a notebook computer , glucose and blood pressure monitoring devices , and access to a care management website . The website provided educational modules , accepted uploads from monitoring devices , and had an internal messaging system for patients to communicate with the care manager . RESULTS Participants receiving web-based care management had lower A1C over 12 months ( P < 0.05 ) when compared with education and usual care . Persistent website users had greater improvement in A1C when compared with intermittent users ( -1.9 vs. -1.2 % ; P = 0.051 ) or education and usual care ( -1.4 % ; P < 0.05 ) . A larger number of website data uploads was associated with a larger decline in A1C ( highest tertile -2.1 % , lowest tertile -1.0 % ; P < 0.02 ) . Hypertensive participants in the web-based group had a greater reduction in systolic blood pressure ( P < 0.01 ) . HDL cholesterol rose and triglycerides fell in the web-based group ( P < 0.05 ) . CONCLUSIONS Web-based care management may be a useful adjunct in the care of patients with poorly controlled diabetes Online patient portals , which provide patients with personal information and facilitate electronic doctor-patient communication , can help patients manage chronic diseases . These systems will be most beneficial if they have broad and durable appeal . In a r and omized trial , we compared a portal providing generic diabetes self-management information to one providing personalized information ( Diabetes-STAR ) . We assessed ( 1 ) the characteristics of patient-users  and ( 2 ) whether including personalized content promotes sustained use OBJECTIVE To test whether adding mobile application coaching and patient/provider web portals to community primary care compared with st and ard diabetes management would reduce glycated hemoglobin levels in patients with type 2 diabetes . RESEARCH DESIGN AND METHODS A cluster-r and omized clinical trial , the Mobile Diabetes Intervention Study , r and omly assigned 26 primary care practice s to one of three stepped treatment groups or a control group ( usual care ) . A total of 163 patients were enrolled and included in analysis . The primary outcome was change in glycated hemoglobin levels over a 1-year treatment period . Secondary outcomes were changes in patient-reported diabetes symptoms , diabetes distress , depression , and other clinical ( blood pressure ) and laboratory ( lipid ) values . Maximal treatment was a mobile- and web-based self-management patient coaching system and provider decision support . Patients received automated , real-time educational and behavioral messaging in response to individually analyzed blood glucose values , diabetes medications , and lifestyle behaviors communicated by mobile phone . Providers received quarterly reports summarizing patient ’s glycemic control , diabetes medication management , lifestyle behaviors , and evidence -based treatment options . RESULTS The mean declines in glycated hemoglobin were 1.9 % in the maximal treatment group and 0.7 % in the usual care group , a difference of 1.2 % ( P = 0.001 ) over 12 months . Appreciable differences were not observed between groups for patient-reported diabetes distress , depression , diabetes symptoms , or blood pressure and lipid levels ( all P > 0.05 ) . CONCLUSIONS The combination of behavioral mobile coaching with blood glucose data , lifestyle behaviors , and patient self-management data individually analyzed and presented with evidence -based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year BACKGROUND Blood glucose monitoring is an important component of diabetes self-management for individuals with insulin-treated diabetes . Although patient-maintained logbooks are routinely used , glucose values may be inaccurately recorded or not recorded at all . Electronic logbooks may help overcome such problems . We conducted a r and omized , controlled trial ( RCT ) to compare glycemic control in insulin-treated participants using  integrated glucose meters and electronic logbooks ( Electronic Group ) with participants using conventional meters and paper logbooks ( Paper Group ) , and to determine persistence of glycemic improvements during long-term observational follow-up . METHODS After a 4-week run-in , adult and pediatric participants ( n = 205 ) with stable hemoglobin A(1C ) ( A1C ) > or=8.0 % were r and omized , and their logbook data and A1C were monitored every 4 weeks for 16 weeks . After the RCT , patients selected their monitoring systems and resumed usual care . The four result ing subgroups , defined by whether patients continued or changed monitoring systems , were reassessed after 26 - 65 weeks . RESULTS During the RCT , mean A1C decreased -0.27 % in the Paper Group and -0.35 % in the Electronic Group . Repeated- measures analysis revealed that the mean decrease was significantly greater in the Electronic than the Paper Group ( P = 0.022 ) . From r and omization through observational follow-up , participants consistently using integrated meters/logbooks had an A1C decrease of -0.36 % ( P = 0.008 ) , whereas participants using conventional meters/logbooks throughout or switching meters returned to pre-enrollment A1C levels . CONCLUSIONS Compared to conventional monitoring systems , use of an integrated meter and electronic logbook result ed in modest , but significant and sustained , improvement in A1C in insulin-treated patients with suboptimal glycemic control during an RCT and observational follow-up BACKGROUND Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness . METHODS The authors conducted a r and omized , controlled trial comparing telemedicine case management to usual care , with blinding of those obtaining outcome data , in 1,665 Medicare recipients with diabetes , aged 55 years or greater , and living in federally design ated medically underserved areas of New York State . The primary endpoints were HgbA1c , blood pressure , and low-density lipoprotein ( LDL ) cholesterol levels . RESULTS In the intervention group ( n = 844 ) , mean HgbA1c improved over one year from 7.35 % to 6.97 % and from 8.35 % to 7.42 % in the subgroup with baseline HgbA1c > or = 7 % ( n = 353 ) . In the usual care group ( n = 821 ) mean HgbA1c improved over one year from 7.42 % to 7.17 % . Adjusted net reductions ( one-year minus baseline mean values in each group , compared between groups ) favoring the intervention were as follows : HgbA1c , 0.18 % ( p = 0.006 ) , systolic and diastolic blood pressure , 3.4 ( p = 0.001 ) and 1.9 mm Hg ( p < 0.001 ) , and LDL cholesterol , 9.5 mg/dL ( p < 0.001 ) . In the subgroup with baseline HgbA1c > or = 7 % , net adjusted reduction in HgbA1c favoring the intervention group was 0.32 % ( p = 0.002 ) . Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dL. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York . CONCLUSION Telemedicine case management improved glycemic control , blood pressure levels , and total and LDL cholesterol levels at one year of follow-up BACKGROUND Our objective was to test the effect of physicians providing brief health lifestyle counseling to patients with type 2 diabetes mellitus during usual care visits . METHODS We conducted a r and omized controlled trial of a 12-month intervention at 2 large community health centers , enrolling 310 patients with a body mass index ( calculated as weight in kilograms divided by height in meters squared ) of 25 or greater . In the intervention group , self-management goals for nutrition and physical activity were set using a tailored computer program . Goals were then review ed at each clinic visit by physicians . The control group received only printed health education material s. The main outcome measures included change in physical activity and body weight . RESULTS In the intervention group , recommended levels of physical activity increased from 26 % at baseline to 53 % at 12 months ( P < .001 ) compared with controls ( 30 
    Output:
    