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: 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 Type 2 diabetes mellitus is a worldwide challenge . Practice guidelines promote structured self-monitoring of blood glucose ( SMBG ) for informing health care providers about glycemic control and providing patient feedback to increase knowledge , self-efficacy , and behavior change .  Paired glucose testing — pairs of glucose results obtained before and after a meal or physical activity — is a method of structured SMBG . However , frequent access to glucose data to interpret values and recommend actions is challenging . A complete feedback loop— data collection and interpretation combined with feedback to modify treatment — has been associated with improved outcomes , yet there remains limited integration of SMBG feedback in diabetes management . Incorporating telehealth remote monitoring and asynchronous electronic health record ( EHR ) feedback from certified diabetes educators (CDEs)—specialists in glucose pattern management — employ the complete feedback loop to improve outcomes . Objective The purpose of this study was to evaluate a telehealth remote monitoring intervention using paired glucose testing and asynchronous data analysis in adults with type 2 diabetes . The primary aim was change in glycated hemoglobin (A1c)—a measure of overall glucose management — between groups after 6 months . The secondary aims were change in self-reported Summary of Diabetes Self-Care Activities ( SDSCA ) , Diabetes Empowerment Scale , and Diabetes Knowledge Test . Methods A 2-group r and omized clinical trial was conducted comparing usual care to telehealth remote monitoring with paired glucose testing and asynchronous virtual visits .  Participants were aged 30 - 70 years , not using insulin with A1c levels between 7.5 % and 10.9 % ( 58 - 96 mmol/mol ) . The telehealth remote monitoring tablet computer transmitted glucose data and facilitated a complete feedback loop to educate participants , analyze actionable glucose data , and provide feedback . Data from paired glucose testing were analyzed asynchronously using computer-assisted pattern analysis and were shared with patients via the EHR weekly . CDEs called participants monthly to discuss paired glucose testing trends and treatment changes . Separate mixed-effects models were used to analyze data . Results Participants ( N=90 ) were primarily white ( 64 % , 56/87 ) , mean age 58 ( SD 11 ) years , mean body mass index 34.1 ( SD 6.7 ) kg/m2 , with diabetes for mean 8.2 ( SD 5.4 ) years , and a mean A1c of 8.3 % ( SD 1.1 ; 67 mmol/mol ) . Both groups lowered A1c with an estimated average decrease of 0.70 percentage points in usual care group and 1.11 percentage points in the treatment group with a significant difference of 0.41 percentage points at 6 months ( SE 0.08 , t159=–2.87 , P=.005 ) . Change in medication ( SE 0.21 , t157=–3.37 , P=.009 ) was significantly associated with lower A1c level . The treatment group significantly improved on the SDSCA subscales carbohydrate spacing ( P=.04 ) , monitoring glucose ( P=.001 ) , and foot care ( P=.02 ) . Conclusions An eHealth model incorporating a complete feedback loop with telehealth remote monitoring and paired glucose testing with asynchronous data analysis significantly improved A1c levels compared to usual care . Trial Registration Clinical trials.gov NCT01715649 ; https://www . clinical trials.gov/ct2/show/NCT01715649 ( Archived by WebCite at http://www.webcitation.org/6ZinLl8D0 ) 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 BACKGROUND Cardiovascular disease ( CVD ) and diabetes account for one-third of the mortality difference between African American and white patients . We evaluated the effect of a CVD risk reduction intervention in African Americans with diabetes . METHODS We r and omized 359 African Americans with type 2 diabetes to receive usual care or a nurse telephone intervention .  The 12-month intervention provided monthly self-management support and quarterly medication management facilitation . Co primary outcomes were changes in systolic blood pressure ( SBP ) , hemoglobin A1c ( HbA1c ) , and low-density lipoprotein cholesterol ( LDL-C ) over 12 months . We estimated between-intervention group differences over time using linear mixed-effects models . The secondary outcome was self-reported medication adherence . RESULTS The sample was 72 % female ; 49 % had low health literacy , and 37 % had annual income < $ 10,000 . Model-based estimates for mean baseline SBP , HbA1c , and LDL-C were 136.8 mm Hg ( 95 % CI 135.0 - 138.6 ) , 8.0 % ( 95 % CI 7.8 - 8.2 ) , and 99.1 mg/dL ( 95 % CI 94.7 - 103.5 ) , respectively . Intervention patients received 9.9 ( SD 3.0 ) intervention calls on average . Primary providers replied to 76 % of nurse medication management facilitation contacts , 18 % of these result ed in medication changes . There were no between-group differences over time for SBP ( P = .11 ) , HbA1c ( P = .66 ) , or LDL-C ( P = .79 ) . Intervention patients were more likely than those receiving usual care to report improved medication adherence ( odds ratio 4.4 , 95 % CI 1.8 - 10.6 , P = .0008 ) , but adherent patients did not exhibit relative improvement in primary outcomes . CONCLUSIONS This intervention improved self-reported medication adherence but not CVD risk factor control among African Americans with diabetes . Further research is needed to determine how to maximally impact CVD risk factors in African American patients OBJECTIVE —The purpose of this study was to determine whether implementation of a multicomponent organizational intervention can produce significant change in diabetes care and outcomes in community primary care practice s. RESEARCH DESIGN AND METHODS —This was a group-r and omized , controlled clinical trial evaluating the practical effectiveness of a multicomponent intervention ( TRANSLATE )  in 24 practice s. The intervention included implementation of an electronic diabetes registry , visit reminders , and patient-specific physician alerts . A site coordinator facilitated previsit planning and a monthly review of performance with a local physician champion . The principle outcomes were the percentage of patients achieving target values for the composite of systolic blood pressure ( SBP ) < 130 mmHg , LDL cholesterol < 100 mg/dl , and A1C < 7.0 % at baseline and 12 months . Six process measures were also followed . RESULTS —Over 24 months , 69,965 visits from 8,405 adult patients with type 2 diabetes were recorded from 238 health care providers in 24 practice s from 17 health systems .  Diabetes process measures increased significantly more in intervention than in control practice s , giving net increases as follows : foot examinations 35.0 % ( P < 0.0.001 ) ; annual eye examinations 25.9 % ( P < 0.001 ) ; renal testing 28.5 % ( P < 0.001 ) ; A1C testing 8.1%(P < 0.001 ) ; blood pressure monitoring 3.5 % ( P = 0.05 ) ; and LDL testing 8.6 % ( P < 0.001 ) . Mean A1C adjusted for age , sex , and comorbidity decreased significantly in intervention practice s ( P < 0.02 ) . At 12 months , intervention practice s had significantly greater improvement in achieving recommended clinical values for SBP , A1C , and LDL than control clinics ( P = 0.002 ) . CONCLUSIONS — Introduction of a multicomponent organizational intervention in the primary care setting significantly increases the percentage of type 2 diabetic patients achieving recommended clinical outcomes OBJECTIVE Web-based diabetes management can be used to provide frequent interactions between patients and providers and thus result in improved glycemic control . METHODS In a single-center , prospect i ve feasibility study , 16 poorly controlled patients with either type 1 or 2 diabetes mellitus were enrolled to assess the impact of using MyCareTeam , a web-based diabetes management application , for diabetes management . Patients were asked to transfer their blood glucose data electronically , maintain exercise logs , and communicate with their provider via MyCareTeam . The provider gave clinical interventions to optimize blood glucose control and provided feedback via MyCareTeam . Diabetes , nutrition , and exercise information was also available via MyCareTeam . RESULTS A significant reduction of over 2.22 % points in hemoglobin A1C was seen for the total patient population . Differences between moderate/heavy users ( n = 8) versus light/never users ( n = 8) of MyCareTeam were evaluated for intergroup differences based upon utilization . Moderate/heavy users had a significant 6-month A1C reduction of 3.15 percentage points compared with a reduction of 1.28 percentage points in light/never users . Other secondary end points were improved as well , including systolic blood pressure , diastolic blood pressure , total cholesterol , high-density lipoprotein , low-density lipoprotein , and triglycerides . However , as expected , body mass index levels increased because of aggressive diabetes management with insulin therapy . CONCLUSIONS These results demonstrate a significant treatment effect from the MyCareTeam application . A larger r and omized control trial is under way at the Boston Veterans Administration Healthcare System . If these results are confirmed as expected , then web-based diabetes management may prove to be the link to achieving target American Diabetes Association glycemic goals in patients with poorly controlled diabetes OBJECTIVE To improve quality and efficiency of care for elderly patients with type 2 diabetes , we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare ( u-healthcare ) service , which is an individualized health management system using advanced medical information technology . RESEARCH DESIGN AND METHODS We conducted a 6-month r and omized , controlled clinical trial involving 144 patients aged > 60 years . Participants were r and omly assigned to receive routine care ( control , n = 48 ) , to the self-monitored blood glucose ( SMBG  , n = 47 ) group , or to the u-healthcare group ( n = 49 ) . The primary end point was the 
    Output:
    
agent
In addition , the more CCM-incorporated the information technology-based interventions were , the more improvements there were in HbA1c levels .
CONCLUSIONS Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes .
No clinical ly relevant impact was observed on low-density lipoprotein levels and blood pressure , but there was evidence that the cost of care was lower
***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: 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 Type 2 diabetes mellitus is a worldwide challenge . Practice guidelines promote structured self-monitoring of blood glucose ( SMBG ) for informing health care providers about glycemic control and providing patient feedback to increase knowledge , self-efficacy , and behavior change .  Paired glucose testing — pairs of glucose results obtained before and after a meal or physical activity — is a method of structured SMBG . However , frequent access to glucose data to interpret values and recommend actions is challenging . A complete feedback loop— data collection and interpretation combined with feedback to modify treatment — has been associated with improved outcomes , yet there remains limited integration of SMBG feedback in diabetes management . Incorporating telehealth remote monitoring and asynchronous electronic health record ( EHR ) feedback from certified diabetes educators (CDEs)—specialists in glucose pattern management — employ the complete feedback loop to improve outcomes . Objective The purpose of this study was to evaluate a telehealth remote monitoring intervention using paired glucose testing and asynchronous data analysis in adults with type 2 diabetes . The primary aim was change in glycated hemoglobin (A1c)—a measure of overall glucose management — between groups after 6 months . The secondary aims were change in self-reported Summary of Diabetes Self-Care Activities ( SDSCA ) , Diabetes Empowerment Scale , and Diabetes Knowledge Test . Methods A 2-group r and omized clinical trial was conducted comparing usual care to telehealth remote monitoring with paired glucose testing and asynchronous virtual visits .  Participants were aged 30 - 70 years , not using insulin with A1c levels between 7.5 % and 10.9 % ( 58 - 96 mmol/mol ) . The telehealth remote monitoring tablet computer transmitted glucose data and facilitated a complete feedback loop to educate participants , analyze actionable glucose data , and provide feedback . Data from paired glucose testing were analyzed asynchronously using computer-assisted pattern analysis and were shared with patients via the EHR weekly . CDEs called participants monthly to discuss paired glucose testing trends and treatment changes . Separate mixed-effects models were used to analyze data . Results Participants ( N=90 ) were primarily white ( 64 % , 56/87 ) , mean age 58 ( SD 11 ) years , mean body mass index 34.1 ( SD 6.7 ) kg/m2 , with diabetes for mean 8.2 ( SD 5.4 ) years , and a mean A1c of 8.3 % ( SD 1.1 ; 67 mmol/mol ) . Both groups lowered A1c with an estimated average decrease of 0.70 percentage points in usual care group and 1.11 percentage points in the treatment group with a significant difference of 0.41 percentage points at 6 months ( SE 0.08 , t159=–2.87 , P=.005 ) . Change in medication ( SE 0.21 , t157=–3.37 , P=.009 ) was significantly associated with lower A1c level . The treatment group significantly improved on the SDSCA subscales carbohydrate spacing ( P=.04 ) , monitoring glucose ( P=.001 ) , and foot care ( P=.02 ) . Conclusions An eHealth model incorporating a complete feedback loop with telehealth remote monitoring and paired glucose testing with asynchronous data analysis significantly improved A1c levels compared to usual care . Trial Registration Clinical trials.gov NCT01715649 ; https://www . clinical trials.gov/ct2/show/NCT01715649 ( Archived by WebCite at http://www.webcitation.org/6ZinLl8D0 ) 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 BACKGROUND Cardiovascular disease ( CVD ) and diabetes account for one-third of the mortality difference between African American and white patients . We evaluated the effect of a CVD risk reduction intervention in African Americans with diabetes . METHODS We r and omized 359 African Americans with type 2 diabetes to receive usual care or a nurse telephone intervention .  The 12-month intervention provided monthly self-management support and quarterly medication management facilitation . Co primary outcomes were changes in systolic blood pressure ( SBP ) , hemoglobin A1c ( HbA1c ) , and low-density lipoprotein cholesterol ( LDL-C ) over 12 months . We estimated between-intervention group differences over time using linear mixed-effects models . The secondary outcome was self-reported medication adherence . RESULTS The sample was 72 % female ; 49 % had low health literacy , and 37 % had annual income < $ 10,000 . Model-based estimates for mean baseline SBP , HbA1c , and LDL-C were 136.8 mm Hg ( 95 % CI 135.0 - 138.6 ) , 8.0 % ( 95 % CI 7.8 - 8.2 ) , and 99.1 mg/dL ( 95 % CI 94.7 - 103.5 ) , respectively . Intervention patients received 9.9 ( SD 3.0 ) intervention calls on average . Primary providers replied to 76 % of nurse medication management facilitation contacts , 18 % of these result ed in medication changes . There were no between-group differences over time for SBP ( P = .11 ) , HbA1c ( P = .66 ) , or LDL-C ( P = .79 ) . Intervention patients were more likely than those receiving usual care to report improved medication adherence ( odds ratio 4.4 , 95 % CI 1.8 - 10.6 , P = .0008 ) , but adherent patients did not exhibit relative improvement in primary outcomes . CONCLUSIONS This intervention improved self-reported medication adherence but not CVD risk factor control among African Americans with diabetes . Further research is needed to determine how to maximally impact CVD risk factors in African American patients OBJECTIVE —The purpose of this study was to determine whether implementation of a multicomponent organizational intervention can produce significant change in diabetes care and outcomes in community primary care practice s. RESEARCH DESIGN AND METHODS —This was a group-r and omized , controlled clinical trial evaluating the practical effectiveness of a multicomponent intervention ( TRANSLATE )  in 24 practice s. The intervention included implementation of an electronic diabetes registry , visit reminders , and patient-specific physician alerts . A site coordinator facilitated previsit planning and a monthly review of performance with a local physician champion . The principle outcomes were the percentage of patients achieving target values for the composite of systolic blood pressure ( SBP ) < 130 mmHg , LDL cholesterol < 100 mg/dl , and A1C < 7.0 % at baseline and 12 months . Six process measures were also followed . RESULTS —Over 24 months , 69,965 visits from 8,405 adult patients with type 2 diabetes were recorded from 238 health care providers in 24 practice s from 17 health systems .  Diabetes process measures increased significantly more in intervention than in control practice s , giving net increases as follows : foot examinations 35.0 % ( P < 0.0.001 ) ; annual eye examinations 25.9 % ( P < 0.001 ) ; renal testing 28.5 % ( P < 0.001 ) ; A1C testing 8.1%(P < 0.001 ) ; blood pressure monitoring 3.5 % ( P = 0.05 ) ; and LDL testing 8.6 % ( P < 0.001 ) . Mean A1C adjusted for age , sex , and comorbidity decreased significantly in intervention practice s ( P < 0.02 ) . At 12 months , intervention practice s had significantly greater improvement in achieving recommended clinical values for SBP , A1C , and LDL than control clinics ( P = 0.002 ) . CONCLUSIONS — Introduction of a multicomponent organizational intervention in the primary care setting significantly increases the percentage of type 2 diabetic patients achieving recommended clinical outcomes OBJECTIVE Web-based diabetes management can be used to provide frequent interactions between patients and providers and thus result in improved glycemic control . METHODS In a single-center , prospect i ve feasibility study , 16 poorly controlled patients with either type 1 or 2 diabetes mellitus were enrolled to assess the impact of using MyCareTeam , a web-based diabetes management application , for diabetes management . Patients were asked to transfer their blood glucose data electronically , maintain exercise logs , and communicate with their provider via MyCareTeam . The provider gave clinical interventions to optimize blood glucose control and provided feedback via MyCareTeam . Diabetes , nutrition , and exercise information was also available via MyCareTeam . RESULTS A significant reduction of over 2.22 % points in hemoglobin A1C was seen for the total patient population . Differences between moderate/heavy users ( n = 8) versus light/never users ( n = 8) of MyCareTeam were evaluated for intergroup differences based upon utilization . Moderate/heavy users had a significant 6-month A1C reduction of 3.15 percentage points compared with a reduction of 1.28 percentage points in light/never users . Other secondary end points were improved as well , including systolic blood pressure , diastolic blood pressure , total cholesterol , high-density lipoprotein , low-density lipoprotein , and triglycerides . However , as expected , body mass index levels increased because of aggressive diabetes management with insulin therapy . CONCLUSIONS These results demonstrate a significant treatment effect from the MyCareTeam application . A larger r and omized control trial is under way at the Boston Veterans Administration Healthcare System . If these results are confirmed as expected , then web-based diabetes management may prove to be the link to achieving target American Diabetes Association glycemic goals in patients with poorly controlled diabetes OBJECTIVE To improve quality and efficiency of care for elderly patients with type 2 diabetes , we introduced elderly-friendly strategies to the clinical decision support system (CDSS)-based ubiquitous healthcare ( u-healthcare ) service , which is an individualized health management system using advanced medical information technology . RESEARCH DESIGN AND METHODS We conducted a 6-month r and omized , controlled clinical trial involving 144 patients aged > 60 years . Participants were r and omly assigned to receive routine care ( control , n = 48 ) , to the self-monitored blood glucose ( SMBG  , n = 47 ) group , or to the u-healthcare group ( n = 49 ) . The primary end point was the 
    Output:
    