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: Background To determine whether an internet-based mentoring program can improve glycemic control in subjects with type 1 diabetes mellitus ( T1DM ) . Methods Subjects with T1DM on intensive insulin therapy and with hemoglobin A1c ( HbA1c ) ≥8.0 % were r and omized to mentored ( glucometer transmission with feedback from mentors ) or control ( glucometer transmission without feedback ) groups and were examined for 12 weeks . Five mentors were interviewed and selected , of which two were T1DM patients themselves and three were parents with at least one child diagnosed with T1DM since more than 5 years ago . Results A total of 57 T1DM adult subjects with a mean duration after being diagnosed with diabetes of 7.4 years were recruited from Samsung Medical Center . Unfortunately , the mentored group failed to show significant improvements in HbA1c levels or other outcomes , including the quality of life , after completion of the study . However , the mentored group monitored their blood glucose ( 1.41 vs. 0.30 ) and logged into our website ( http://ubisens.co.kr/ ) more frequently ( 20.59 times vs. 5.07 times ) than the control group . Conclusion A 12-week internet-based mentoring program for T1DM patients with inadequate glycemic control did not prove to be superior to the usual follow-up . However , the noted increase in the subjects ' frequency of blood glucose monitoring may lead to clinical benefits AIMS To assess Sweet Talk , a text-messaging support system design ed to enhance self-efficacy , facilitate uptake of intensive insulin therapy and improve glycaemic control in paediatric patients with Type 1 diabetes . METHODS One hundred and twenty-six patients fulfilled the eligibility criteria ; Type 1 diabetes for > 1 year , on conventional insulin therapy , aged 8 - 18 years . Ninety-two patients were r and omized to conventional insulin therapy  ( n = 28 ) , conventional therapy and Sweet Talk ( n = 33 ) or  intensive insulin therapy and Sweet Talk ( n = 31 ) . Goal - setting at clinic visits was reinforced by daily text-messages from the Sweet Talk software system , containing personalized goal -specific prompts and messages tailored to patients ' age , sex and insulin regimen . RESULTS HbA(1c ) did not change in patients on conventional therapy without or with Sweet Talk ( 10.3 + /- 1.7 vs. 10.1 + /- 1.7 % ) , but improved in patients r and omized to intensive therapy and Sweet Talk ( 9.2 + /- 2.2 % , 95 % CI -1.9 , -0.5 , P < 0.001 ) . Sweet Talk was associated with improvement in diabetes self-efficacy  ( conventional therapy 56.0 + /- 13.7 , conventional therapy plus Sweet Talk 62.1 + /- 6.6 , 95 % CI + 2.6 , + 7.5 , P = 0.003 ) and self-reported adherence  ( conventional therapy 70.4 + /- 20.0 , conventional therapy plus Sweet Talk 77.2 + /- 16.1 , 95 % CI + 0.4 , + 17.4 , P = 0.042 ) . When surveyed , 82 % of patients felt that Sweet Talk had improved their diabetes self-management and 90 % wanted to continue receiving messages . CONCLUSIONS Sweet Talk was associated with improved self-efficacy and adherence ; engaging a classically difficult to reach group of young people . While Sweet Talk alone did not improve glycaemic control , it may have had a role in supporting the introduction of intensive insulin therapy . Scheduled , tailored text messaging offers an innovative means of supporting adolescents with diabetes and could be adapted for other health-care setting s and chronic diseases 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 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 OBJECTIVE To evaluate a clinic-based multimedia intervention for diabetes education targeting individuals with low health literacy levels in a diverse population . RESEARCH DESIGN AND METHODS Five public clinics in Chicago , Illinois , participated in the study with computer kiosks installed in waiting room areas . Two hundred forty-four subjects with diabetes were r and omized to receive either supplemental computer multimedia use ( intervention ) or st and ard of care only ( control ) . The intervention includes audio/video sequences to communicate information , provide psychological support , and promote diabetes self-management skills without extensive text or complex navigation .  HbA(1c ) ( A1C ) , BMI , blood pressure , diabetes knowledge , self-efficacy , self-reported medical care , and perceived susceptibility of complications were evaluated at baseline and 1 year . Computer usage patterns and implementation barriers were also examined . RESULTS Complete 1-year data were available for 183 subjects ( 75 % ) . Overall , there were no significant differences in change in A1C , weight , blood pressure , knowledge , self-efficacy , or self-reported medical care between intervention and control groups . However , there was an increase in perceived susceptibility to diabetes complications in the intervention group . This effect was greatest among subjects with lower health literacy . Within the intervention group , time spent on the computer was greater for subjects with higher health literacy . CONCLUSIONS Access to multimedia lessons result ed in an increase in perceived susceptibility to diabetes complications , particularly in subjects with lower health literacy . Despite measures to improve informational access for individuals with lower health literacy , there was relatively less use of the computer among these participants 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 proportion of patients achieving A1C < 7 % without hypoglycemia at 6 months . U-healthcare system refers to an individualized medical service in which medical instructions are given through the patient ’s mobile phone . Patients receive a glucometer with a public switched telephone network-connected cradle that automatically transfers test results to a hospital-based server 
    Output:
    
agent
The narrative synthesis provided mixed effects of CHITs on other clinical , psychosocial , behavioral , and knowledge outcomes .
Conclusions The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes .
However , their effectiveness did not remain consistent over time and in other patient 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: Background To determine whether an internet-based mentoring program can improve glycemic control in subjects with type 1 diabetes mellitus ( T1DM ) . Methods Subjects with T1DM on intensive insulin therapy and with hemoglobin A1c ( HbA1c ) ≥8.0 % were r and omized to mentored ( glucometer transmission with feedback from mentors ) or control ( glucometer transmission without feedback ) groups and were examined for 12 weeks . Five mentors were interviewed and selected , of which two were T1DM patients themselves and three were parents with at least one child diagnosed with T1DM since more than 5 years ago . Results A total of 57 T1DM adult subjects with a mean duration after being diagnosed with diabetes of 7.4 years were recruited from Samsung Medical Center . Unfortunately , the mentored group failed to show significant improvements in HbA1c levels or other outcomes , including the quality of life , after completion of the study . However , the mentored group monitored their blood glucose ( 1.41 vs. 0.30 ) and logged into our website ( http://ubisens.co.kr/ ) more frequently ( 20.59 times vs. 5.07 times ) than the control group . Conclusion A 12-week internet-based mentoring program for T1DM patients with inadequate glycemic control did not prove to be superior to the usual follow-up . However , the noted increase in the subjects ' frequency of blood glucose monitoring may lead to clinical benefits AIMS To assess Sweet Talk , a text-messaging support system design ed to enhance self-efficacy , facilitate uptake of intensive insulin therapy and improve glycaemic control in paediatric patients with Type 1 diabetes . METHODS One hundred and twenty-six patients fulfilled the eligibility criteria ; Type 1 diabetes for > 1 year , on conventional insulin therapy , aged 8 - 18 years . Ninety-two patients were r and omized to conventional insulin therapy  ( n = 28 ) , conventional therapy and Sweet Talk ( n = 33 ) or  intensive insulin therapy and Sweet Talk ( n = 31 ) . Goal - setting at clinic visits was reinforced by daily text-messages from the Sweet Talk software system , containing personalized goal -specific prompts and messages tailored to patients ' age , sex and insulin regimen . RESULTS HbA(1c ) did not change in patients on conventional therapy without or with Sweet Talk ( 10.3 + /- 1.7 vs. 10.1 + /- 1.7 % ) , but improved in patients r and omized to intensive therapy and Sweet Talk ( 9.2 + /- 2.2 % , 95 % CI -1.9 , -0.5 , P < 0.001 ) . Sweet Talk was associated with improvement in diabetes self-efficacy  ( conventional therapy 56.0 + /- 13.7 , conventional therapy plus Sweet Talk 62.1 + /- 6.6 , 95 % CI + 2.6 , + 7.5 , P = 0.003 ) and self-reported adherence  ( conventional therapy 70.4 + /- 20.0 , conventional therapy plus Sweet Talk 77.2 + /- 16.1 , 95 % CI + 0.4 , + 17.4 , P = 0.042 ) . When surveyed , 82 % of patients felt that Sweet Talk had improved their diabetes self-management and 90 % wanted to continue receiving messages . CONCLUSIONS Sweet Talk was associated with improved self-efficacy and adherence ; engaging a classically difficult to reach group of young people . While Sweet Talk alone did not improve glycaemic control , it may have had a role in supporting the introduction of intensive insulin therapy . Scheduled , tailored text messaging offers an innovative means of supporting adolescents with diabetes and could be adapted for other health-care setting s and chronic diseases 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 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 OBJECTIVE To evaluate a clinic-based multimedia intervention for diabetes education targeting individuals with low health literacy levels in a diverse population . RESEARCH DESIGN AND METHODS Five public clinics in Chicago , Illinois , participated in the study with computer kiosks installed in waiting room areas . Two hundred forty-four subjects with diabetes were r and omized to receive either supplemental computer multimedia use ( intervention ) or st and ard of care only ( control ) . The intervention includes audio/video sequences to communicate information , provide psychological support , and promote diabetes self-management skills without extensive text or complex navigation .  HbA(1c ) ( A1C ) , BMI , blood pressure , diabetes knowledge , self-efficacy , self-reported medical care , and perceived susceptibility of complications were evaluated at baseline and 1 year . Computer usage patterns and implementation barriers were also examined . RESULTS Complete 1-year data were available for 183 subjects ( 75 % ) . Overall , there were no significant differences in change in A1C , weight , blood pressure , knowledge , self-efficacy , or self-reported medical care between intervention and control groups . However , there was an increase in perceived susceptibility to diabetes complications in the intervention group . This effect was greatest among subjects with lower health literacy . Within the intervention group , time spent on the computer was greater for subjects with higher health literacy . CONCLUSIONS Access to multimedia lessons result ed in an increase in perceived susceptibility to diabetes complications , particularly in subjects with lower health literacy . Despite measures to improve informational access for individuals with lower health literacy , there was relatively less use of the computer among these participants 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 proportion of patients achieving A1C < 7 % without hypoglycemia at 6 months . U-healthcare system refers to an individualized medical service in which medical instructions are given through the patient ’s mobile phone . Patients receive a glucometer with a public switched telephone network-connected cradle that automatically transfers test results to a hospital-based server 
    Output:
    