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 — Indirect evidence shows that alerting users with clinical decision support systems seems to change behavior more than requiring users to actively initiate the system . However , r and omized trials comparing these methods in a clinical setting are lacking . We studied the effect of both alerting and on-dem and decision support with respect to screening and treatment of dyslipidemia based on the guidelines of the Dutch College of General Practitioners . Methods and Results — In a clustered r and omized trial design , 38 Dutch general practice s ( 77 physicians ) and 87 886 of their patients ( 39 433 men 18 to 70 years of age and 48 453 women 18 to 75 years of age ) who used the ELIAS electronic health record participated . Each practice was assigned to receive alerts , on-dem and support , or no intervention . We measured the percentage of patients screened and treated after 12 months of follow-up . In the alerting group , 65 % of the patients requiring screening were screened ( relative risk versus control=1.76 ; 95 % confidence interval , 1.41 to 2.20 ) compared with 35 % of patients in the on-dem and group ( relative risk versus control=1.28 ; 95 % confidence interval , 0.98 to 1.68 ) and 25 % of patients in the control group . In the alerting group , 66 % of patients requiring treatment were treated ( relative risk versus control=1.40 ; 95 % confidence interval , 1.15 to 1.70 ) compared with 40 % of patients ( relative risk versus control=1.19 ; 95 % confidence interval , 0.94 to 1.50 ) in the on-dem and group and 36 % of patients in the control group . Conclusion — The alerting version of the clinical decision support systems significantly improved screening and treatment performance for dyslipidemia by general practitioners 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 To investigate whether an internet based , nurse led vascular risk factor management programme promoting self management on top of usual care is more effective than usual care alone in reducing vascular risk factors in patients with clinical ly manifest vascular disease . Design Prospect i ve r and omised controlled trial . Setting Multicentre trial in secondary and tertiary healthcare setting . Participants 330 patients with a recent clinical manifestation of atherosclerosis in the coronary , cerebral , or peripheral arteries and with at least two treatable risk factors not at goal . Intervention Personalised website with an overview and actual status of patients ’ risk factors and mail communication via the website with a nurse practitioner for 12 months ; the intervention combined self management support , monitoring of disease control , and drug treatment . Main outcome measures The primary endpoint was the relative change in Framingham heart risk score after 1 year . Secondary endpoints were absolute changes in the levels of risk factors and the differences between groups in the change in proportion of patients reaching treatment goals for each risk factor . Results Participants ’ mean age was 59.9 ( SD 8.4 ) years , and most patients ( n=246 ; 75 % ) were male . After 1 year , the relative change in Framingham heart risk score of the intervention group compared with the usual care group was −14 % ( 95 % confidence interval −25 % to −2 % ) . At baseline , the Framingham heart risk score was higher in the intervention group than in the usual care group ( 16.1 ( SD 10.6 ) v 14.0 ( 10.5 ) ) , so the outcome was adjusted for the separate variables of the Framingham heart risk score and for the baseline Framingham heart risk score . This produced a relative change of −12 % ( −22 % to −3 % ) in Framingham heart risk score for the intervention group compared with the usual care group adjusted for the separate variables of the score and −8 % ( −18 % to 2 % ) adjusted for the baseline score . Of the individual risk factors , a difference between groups was observed in low density lipoprotein cholesterol ( −0.3 , −0.5 to −0.1 , mmol/L ) and smoking ( −7.7 % , −14.9 % to −0.4 % ) . Some other risk factors tended to improve ( body mass index , triglycerides , systolic blood pressure , renal function ) or tended to worsen ( glucose concentration , albuminuria ) . Conclusion An internet based , nurse led treatment programme on top of usual care for vascular risk factors had a small effect on lowering vascular risk and on lowering of some vascular risk factors in patients with vascular disease . Trial registration Clinical trials NCT00785031 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 Primary nonadherence occurs when new prescriptions are not dispensed . Little is known about how to reduce primary nonadherence . We performed a r and omized controlled trial to evaluate an automated system to decrease primary nonadherence to statins for lowering cholesterol . METHODS Adult members of Kaiser Permanente Southern California with no history of statin use within the past year who did not fill a statin prescription after 1 to 2 weeks were passively enrolled . The intervention group received automated telephone calls followed 1 week later by letters for continued nonadherence ; the control group received no outreach . The primary outcome was a statin dispensed up to 2 weeks after delivery of the letter . Secondary outcomes included refills at intervals up to 1 year . Intervention effectiveness was determined by intent-to-treat analysis and Fisher exact test . Subgroups were examined using logistic regression . RESULTS There were 2606 participants in the intervention group and 2610 in the control group .  Statins were dispensed to 42.3 % of intervention participants and 26.0 % of control participants ( absolute difference , 16.3 % ; P < .001 ) . The relative risk for the intervention vs control group was 1.63 ( 95 % CI , 1.50 - 1.76 ) . Intervention effectiveness varied slightly by age ( P = .045 ) but was effective across all age strata . Differences in the frequency of statin dispensations persisted up to 1 year ( P < .001 ) . CONCLUSIONS The intervention was effective in reducing primary nonadherence to statin medications . Because of low marginal costs for outreach , this strategy appears feasible for reducing primary nonadherence . This approach may generalize well to other medications and chronic conditions PURPOSE Dyslipidemia treatment dramatically decreases coronary heart disease risk in diabetes , yet only a minority of these patients are screened or achieve optimal low-density lipoprotein ( LDL ) cholesterol levels . Our aim was to increase the percentage of diabetic patients in whom lipid management was achieved through electronic and direct educational detailing . METHODS The study cohort comprised 884 diabetic patients at 12 primary care practice s. Practice sites were r and omized to one of three intervention groups : electronic educational detailing , direct ( face-to-face ) educational detailing , or control . Direct and electronic detailing were performed over a 12-month period . All sites were notified of our goal to enhance lipid testing among diabetic patients . Chart abstract ion was performed 15 months after the start of the intervention . For the entire population ( n=884 ) , the proportion of patients with lipid testing was calculated , and changes from pre- to postintervention were compared across groups . We compared pre- and postintervention LDL-cholesterol changes between groups using least square means to account for site variation . RESULTS Favorable provider actions increased significantly with the intervention ( + 22 % compared with + 6 % in controls , P=.01 ) . By logistic regression , electronic detailing increased the likelihood of lipid testing ( odds ratio 3.0 , confidence interval 1.6 - 5.7 ) , as did direct detailing ( odds ratio 1.8 , confidence interval 0.9 - 3.7 ) in patients with no preintervention LDL test ( n=432 ) . Lipid testing tended to increase to a greater extent at intervention sites ( + 23 % for the combination of electronic and direct detailing vs + 11 % for controls , P=.06 ) . CONCLUSIONS Brief educational detailing either through direct or electronic communication favorably impacts provider behavior regarding dyslipidemia care for diabetic patients Background Elevated low-density lipoprotein ( LDL ) cholesterol is a leading risk factor for cardiovascular disease . Despite the availability of proven interventions to lower LDL cholesterol , their use remains subobtimal . Many websites provide interactive , tailored advice on cardiovascular risk in an attempt to help bridge this evidence - practice gap , yet there is little evidence that provision of such a tool is effective in changing practice . Objectives The objective was to define the effects on use of  cholesterol-lowering interventions of a consumer-targeted tailored advice website . Methods This was a prospect i ve , double-blind , r and omized controlled trial open to any adult Australian with access to the Internet . A total of 2099 participants were r and omized . Of these , 45 % were male , the mean age of all participants was 56 , and 1385 ( 66 % ) self-reported hypercholesterolemia . Follow-up information was obtained for 1945 ( 93 % ) . Participants completed a brief online question naire . Individuals assigned to intervention received immediate , fully automated , personally tailored advice ( based on current guidelines ) regarding the need for commencement of statin therapy , increased statin therapy in those already on treatment , and nondrug intervention strategies . Control group participants were directed to static Web pages providing general information about cholesterol management . Results The primary outcome was the proportion of participants that commenced or increased use of prescribed cholesterol-lowering therapy 
    Output:
    
agent
There was mixed evidence that provider-level computerized decision support improves outcomes .
There was more evidence in support of patient-level tools that provide connectivity to the healthcare system , as well as system-level interventions that involve data base monitoring and outreach by central ized care teams .
R and omized controlled trials show wide variability in the effects of HIT on lipid management outcomes .
Evidence suggests that multilevel HIT approaches that target not only providers but include patients and systems approaches will be needed to improve lipid treatment , adherence and quality
***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 — Indirect evidence shows that alerting users with clinical decision support systems seems to change behavior more than requiring users to actively initiate the system . However , r and omized trials comparing these methods in a clinical setting are lacking . We studied the effect of both alerting and on-dem and decision support with respect to screening and treatment of dyslipidemia based on the guidelines of the Dutch College of General Practitioners . Methods and Results — In a clustered r and omized trial design , 38 Dutch general practice s ( 77 physicians ) and 87 886 of their patients ( 39 433 men 18 to 70 years of age and 48 453 women 18 to 75 years of age ) who used the ELIAS electronic health record participated . Each practice was assigned to receive alerts , on-dem and support , or no intervention . We measured the percentage of patients screened and treated after 12 months of follow-up . In the alerting group , 65 % of the patients requiring screening were screened ( relative risk versus control=1.76 ; 95 % confidence interval , 1.41 to 2.20 ) compared with 35 % of patients in the on-dem and group ( relative risk versus control=1.28 ; 95 % confidence interval , 0.98 to 1.68 ) and 25 % of patients in the control group . In the alerting group , 66 % of patients requiring treatment were treated ( relative risk versus control=1.40 ; 95 % confidence interval , 1.15 to 1.70 ) compared with 40 % of patients ( relative risk versus control=1.19 ; 95 % confidence interval , 0.94 to 1.50 ) in the on-dem and group and 36 % of patients in the control group . Conclusion — The alerting version of the clinical decision support systems significantly improved screening and treatment performance for dyslipidemia by general practitioners 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 To investigate whether an internet based , nurse led vascular risk factor management programme promoting self management on top of usual care is more effective than usual care alone in reducing vascular risk factors in patients with clinical ly manifest vascular disease . Design Prospect i ve r and omised controlled trial . Setting Multicentre trial in secondary and tertiary healthcare setting . Participants 330 patients with a recent clinical manifestation of atherosclerosis in the coronary , cerebral , or peripheral arteries and with at least two treatable risk factors not at goal . Intervention Personalised website with an overview and actual status of patients ’ risk factors and mail communication via the website with a nurse practitioner for 12 months ; the intervention combined self management support , monitoring of disease control , and drug treatment . Main outcome measures The primary endpoint was the relative change in Framingham heart risk score after 1 year . Secondary endpoints were absolute changes in the levels of risk factors and the differences between groups in the change in proportion of patients reaching treatment goals for each risk factor . Results Participants ’ mean age was 59.9 ( SD 8.4 ) years , and most patients ( n=246 ; 75 % ) were male . After 1 year , the relative change in Framingham heart risk score of the intervention group compared with the usual care group was −14 % ( 95 % confidence interval −25 % to −2 % ) . At baseline , the Framingham heart risk score was higher in the intervention group than in the usual care group ( 16.1 ( SD 10.6 ) v 14.0 ( 10.5 ) ) , so the outcome was adjusted for the separate variables of the Framingham heart risk score and for the baseline Framingham heart risk score . This produced a relative change of −12 % ( −22 % to −3 % ) in Framingham heart risk score for the intervention group compared with the usual care group adjusted for the separate variables of the score and −8 % ( −18 % to 2 % ) adjusted for the baseline score . Of the individual risk factors , a difference between groups was observed in low density lipoprotein cholesterol ( −0.3 , −0.5 to −0.1 , mmol/L ) and smoking ( −7.7 % , −14.9 % to −0.4 % ) . Some other risk factors tended to improve ( body mass index , triglycerides , systolic blood pressure , renal function ) or tended to worsen ( glucose concentration , albuminuria ) . Conclusion An internet based , nurse led treatment programme on top of usual care for vascular risk factors had a small effect on lowering vascular risk and on lowering of some vascular risk factors in patients with vascular disease . Trial registration Clinical trials NCT00785031 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 Primary nonadherence occurs when new prescriptions are not dispensed . Little is known about how to reduce primary nonadherence . We performed a r and omized controlled trial to evaluate an automated system to decrease primary nonadherence to statins for lowering cholesterol . METHODS Adult members of Kaiser Permanente Southern California with no history of statin use within the past year who did not fill a statin prescription after 1 to 2 weeks were passively enrolled . The intervention group received automated telephone calls followed 1 week later by letters for continued nonadherence ; the control group received no outreach . The primary outcome was a statin dispensed up to 2 weeks after delivery of the letter . Secondary outcomes included refills at intervals up to 1 year . Intervention effectiveness was determined by intent-to-treat analysis and Fisher exact test . Subgroups were examined using logistic regression . RESULTS There were 2606 participants in the intervention group and 2610 in the control group .  Statins were dispensed to 42.3 % of intervention participants and 26.0 % of control participants ( absolute difference , 16.3 % ; P < .001 ) . The relative risk for the intervention vs control group was 1.63 ( 95 % CI , 1.50 - 1.76 ) . Intervention effectiveness varied slightly by age ( P = .045 ) but was effective across all age strata . Differences in the frequency of statin dispensations persisted up to 1 year ( P < .001 ) . CONCLUSIONS The intervention was effective in reducing primary nonadherence to statin medications . Because of low marginal costs for outreach , this strategy appears feasible for reducing primary nonadherence . This approach may generalize well to other medications and chronic conditions PURPOSE Dyslipidemia treatment dramatically decreases coronary heart disease risk in diabetes , yet only a minority of these patients are screened or achieve optimal low-density lipoprotein ( LDL ) cholesterol levels . Our aim was to increase the percentage of diabetic patients in whom lipid management was achieved through electronic and direct educational detailing . METHODS The study cohort comprised 884 diabetic patients at 12 primary care practice s. Practice sites were r and omized to one of three intervention groups : electronic educational detailing , direct ( face-to-face ) educational detailing , or control . Direct and electronic detailing were performed over a 12-month period . All sites were notified of our goal to enhance lipid testing among diabetic patients . Chart abstract ion was performed 15 months after the start of the intervention . For the entire population ( n=884 ) , the proportion of patients with lipid testing was calculated , and changes from pre- to postintervention were compared across groups . We compared pre- and postintervention LDL-cholesterol changes between groups using least square means to account for site variation . RESULTS Favorable provider actions increased significantly with the intervention ( + 22 % compared with + 6 % in controls , P=.01 ) . By logistic regression , electronic detailing increased the likelihood of lipid testing ( odds ratio 3.0 , confidence interval 1.6 - 5.7 ) , as did direct detailing ( odds ratio 1.8 , confidence interval 0.9 - 3.7 ) in patients with no preintervention LDL test ( n=432 ) . Lipid testing tended to increase to a greater extent at intervention sites ( + 23 % for the combination of electronic and direct detailing vs + 11 % for controls , P=.06 ) . CONCLUSIONS Brief educational detailing either through direct or electronic communication favorably impacts provider behavior regarding dyslipidemia care for diabetic patients Background Elevated low-density lipoprotein ( LDL ) cholesterol is a leading risk factor for cardiovascular disease . Despite the availability of proven interventions to lower LDL cholesterol , their use remains subobtimal . Many websites provide interactive , tailored advice on cardiovascular risk in an attempt to help bridge this evidence - practice gap , yet there is little evidence that provision of such a tool is effective in changing practice . Objectives The objective was to define the effects on use of  cholesterol-lowering interventions of a consumer-targeted tailored advice website . Methods This was a prospect i ve , double-blind , r and omized controlled trial open to any adult Australian with access to the Internet . A total of 2099 participants were r and omized . Of these , 45 % were male , the mean age of all participants was 56 , and 1385 ( 66 % ) self-reported hypercholesterolemia . Follow-up information was obtained for 1945 ( 93 % ) . Participants completed a brief online question naire . Individuals assigned to intervention received immediate , fully automated , personally tailored advice ( based on current guidelines ) regarding the need for commencement of statin therapy , increased statin therapy in those already on treatment , and nondrug intervention strategies . Control group participants were directed to static Web pages providing general information about cholesterol management . Results The primary outcome was the proportion of participants that commenced or increased use of prescribed cholesterol-lowering therapy 
    Output:
    