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 Interventions design ed to narrow the gap between research findings and clinical practice may be effective , but also costly . Economic evaluations are necessary to judge whether such interventions are worth the effort . We have evaluated the economic effects of a tailored intervention to support the implementation of guidelines for the use of antihypertensive and cholesterol-lowering drugs . The tailored intervention was evaluated in a r and omized trial , and was shown to significantly increase the use of thiazides for patients started on antihypertensive medication , but had little or no impact on other outcomes . The increased use of thiazides was not expected to have an impact on health outcomes . Methods and Findings We performed cost-minimization and cost-effectiveness analyses on data from a r and omized trial involving 146 general practice s from two geographical areas in Norway . Each practice was r and omized to either the tailored intervention ( 70 practice s ; 257 physicians ) or control group ( 69 practice s ; 244 physicians ) . Only patients that were being started on antihypertensive medication were included in the analyses . A multifaceted intervention was tailored to address identified barriers to change . Key components were an educational outreach visit with audit and feedback , and computerized reminders . Pharmacists conducted the visits . A cost-minimization framework was adopted , where the costs of intervention were set against the reduced treatment costs ( principally due to increased use of thiazides rather than more expensive medication ) . The cost-effectiveness of the intervention was estimated as the cost per additional patient being started on thiazides . The net annual cost ( cost minimization ) in our study population was US$ 53,395 , corresponding to US$ 763 per practice . The cost per additional patient started on thiazides ( cost-effectiveness ) was US$ 454 . The net annual savings in a national program was modeled to be US$ 761,998 , or US$ 540 per practice after 2 y. In this scenario the savings exceeded the costs in all but two of the sensitivity analyses we conducted , and the cost-effectiveness was estimated to be US$ 183 . Conclusions We found a significant shift in prescribing of antihypertensive drugs towards the use of thiazides in our trial . A major reason to promote the use of thiazides is their lower price compared to other drugs . The cost of the intervention was more than twice the savings within the time frame of our study . However , we predict modest savings over a 2-y period UNLABELLED What is already known about this subject . Computerized prompts and reminders have been shown to be effective in changing the behaviour of health professionals in a variety of setting s. There is little literature describing or evaluating electronic decision-support for pharmacists . What this study adds . An electronic prompt in dispensing software for a targeted clinical intervention has a significant effect on  pharmacists  ' behaviour . A markedly increased rate of recording and performing the targeted clinical intervention was found . The effect of the prompt reduces markedly once the prompt is deactivated . AIM To evaluate the effect of an electronic prompt in dispensing software on the frequency of clinical interventions recorded by community pharmacists . METHOD An electronic decision-support prompt identifying patients for a targeted proactive clinical intervention was developed and implemented . Each time an oral antidiabetic agent was dispensed , a prompt was displayed reminding pharmacists to discuss the suitability of aspirin therapy in eligible patients with diabetes . The prompt was r and omly assigned to 31 of 52 metropolitan pharmacies in Melbourne ( Australia ) for 6 weeks , with the remaining pharmacies as controls . RESULTS One hundred and fifty pharmacists in 52 pharmacies recorded a total of 2396 clinical interventions at an intervention rate of 0.92 interventions per 100 patients [ 95 % confidence interval ( CI ) 0.58 , 1.23 ] . Pharmacists recorded a total of 201 target interventions related to aspirin therapy in diabetes at an intervention rate of 2.55 interventions per 100 diabetic patients ( 95 % CI 0.85 , 4.24 ) . All of the targeted clinical interventions were recorded in the prompt arm ; no targeted interventions were recorded in the control group . The effect of the prompt decreased over the study period and was not maintained after prompt deactivation . CONCLUSION An electronic prompt significantly increased pharmacists ' recording of the targeted clinical intervention in diabetic patients . An electronic decision-support prompt has significant potential to promote community pharmacists ' contribution to the quality use of medicines OBJECTIVES To apply and evaluate the effects of a program for computer generated physician reminders , integrated with an electronic patient record ( EPR ) system , for opportunistic health screening in elderly patients . DESIGN A pilot study design ed as a 20-month clinical trial with a control group and a 20-month non-intervention follow-up using a computer reminder program that selects patients for screening in five intervention areas ( diabetes , hypertension , cobalamin deficiency , hypothyroidism and anaemia ) . SETTING Four primary health care ( PHC ) centres in suburban Stockholm . SUBJECTS The intervention was design ed for patients 70 years or older from one health care centre who visited a general practitioner ( GP ) during the first 20-month period . Patients from the three remaining centres served as controls . MAIN OUTCOME MEASURES The number of patients who underwent the tests , who had pathological test results , new diagnoses and new pharmacological treatments in both patient groups . RESULTS In total , 602 patients underwent screening and 1989 were controls . There was a statistically significant , moderate or marked increase ( 13 - 75 % ) in the number of patients who were tested in all five intervention areas . An increase in pathological test results ( 1 - 8 % ) was found in two areas : hypertension and cobalamin deficiency . There was an increase in the number of patients with the diagnosis of cobalamin deficiency during the study . At follow-up a decrease in new diagnoses for anaemia was found . CONCLUSION The system seems to be associated with a moderate to large increase in laboratory and manual screening tests for both established and new screening areas . The effect on clinical outcomes was found mainly in a not-yet-established screening area ( cobalamin deficiency ) , indicating that the system may be clinical ly useful when introducing new screening services 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 Background Cardiovascular disease ( including coronary heart disease and stroke ) is a major cause of death and disability in the United Kingdom , and is to a large extent preventable , by lifestyle modification and drug therapy . The recent st and ardisation of electronic codes for cardiovascular risk variables through the United Kingdom 's new General Practice contract provides an opportunity for the application of risk algorithms to identify high risk individuals . This r and omised controlled trial will test the benefits of an automated system of alert messages and practice search es to identify those at highest risk of cardiovascular disease in primary care data bases . Design Patients over 50 years old in practice data bases will be r and omised to the intervention group that will receive the alert messages and search es , and a control group who will continue to receive usual care . In addition to those at high estimated risk , potentially high risk patients will be identified who have insufficient data to allow a risk estimate to be made . Further groups identified will be those with possible undiagnosed diabetes , based either on elevated past recorded blood glucose measurements , or an absence of recent blood glucose measurement in those with established cardiovascular disease . Outcome measures The intervention will be applied for two years , and outcome data will be collected for a further year . The primary outcome measure will be the annual rate of cardiovascular events in the intervention and control arms of the study . Secondary measures include the proportion of patients at high estimated cardiovascular risk , the proportion of patients with missing data for a risk estimate , and the proportion with undefined diabetes status at the end of the trial BACKGROUND Optimal care for patients with diabetes is difficult to achieve in clinical practice . OBJECTIVE To evaluate the impact of a registry and decision support system on processes of care , and physiologic control . PARTICIPANTS R and omized trial with clustering at the practice level , involving 7,412 adults with diabetes in 64 primary care practice s in the Northeast . INTERVENTIONS Provider decision support ( reminders for overdue diabetes tests , alerts regarding abnormal results , and quarterly population reports with peer comparisons ) and patient decision support ( reminders and alerts ) . MEASUREMENTS AND MAIN RESULTS Process and physiologic outcomes were evaluated in all subjects . Functional status was evaluated in a r and om patient sample via question naire . We used multiple logistic regression to quantify the effect , adjusting for clustering and potential confounders . Intervention subjects were significantly more likely to receive guideline -appropriate testing for cholesterol ( OR = 1.39 ; [ 95%CI 1.07 , 1.80 ] P = 0.012 ) , creatinine ( OR = 1.40 ; [ 95%CI 1.06 , 1.84 ] P = 0.018 ) , and proteinuria ( OR = 1.74 ; [ 95%CI 1.13 , 1.69 ] P = 0.012 ) , but not A1C ( OR = 1.17 ; [ 95 % CI 0.80 , 1.72 ] P = 0.43 ) . Rates of control of A1C and LDL cholesterol were similar in the two groups . There were no differences in blood pressure , body mass index , or functional status . CONCLUSIONS A chronic disease registry and decision support system based on easily obtainable laboratory data was feasible and acceptable to patients and providers . This system improved the process of laboratory monitoring in primary care , but not physiologic control Abstract Objectives : To investigate the effect of a computer based clinical decision support system and a risk chart on absolute cardiovascular risk , blood pressure , and pres 
    Output:
    
agent
Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure , total and low-density lipoprotein cholesterol , and hemoglobin A1C levels .
CONCLUSIONS CDSSs are effective in improving clinician practice s related to screening and other preventive care services , clinical tests , and treatments .
***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 Interventions design ed to narrow the gap between research findings and clinical practice may be effective , but also costly . Economic evaluations are necessary to judge whether such interventions are worth the effort . We have evaluated the economic effects of a tailored intervention to support the implementation of guidelines for the use of antihypertensive and cholesterol-lowering drugs . The tailored intervention was evaluated in a r and omized trial , and was shown to significantly increase the use of thiazides for patients started on antihypertensive medication , but had little or no impact on other outcomes . The increased use of thiazides was not expected to have an impact on health outcomes . Methods and Findings We performed cost-minimization and cost-effectiveness analyses on data from a r and omized trial involving 146 general practice s from two geographical areas in Norway . Each practice was r and omized to either the tailored intervention ( 70 practice s ; 257 physicians ) or control group ( 69 practice s ; 244 physicians ) . Only patients that were being started on antihypertensive medication were included in the analyses . A multifaceted intervention was tailored to address identified barriers to change . Key components were an educational outreach visit with audit and feedback , and computerized reminders . Pharmacists conducted the visits . A cost-minimization framework was adopted , where the costs of intervention were set against the reduced treatment costs ( principally due to increased use of thiazides rather than more expensive medication ) . The cost-effectiveness of the intervention was estimated as the cost per additional patient being started on thiazides . The net annual cost ( cost minimization ) in our study population was US$ 53,395 , corresponding to US$ 763 per practice . The cost per additional patient started on thiazides ( cost-effectiveness ) was US$ 454 . The net annual savings in a national program was modeled to be US$ 761,998 , or US$ 540 per practice after 2 y. In this scenario the savings exceeded the costs in all but two of the sensitivity analyses we conducted , and the cost-effectiveness was estimated to be US$ 183 . Conclusions We found a significant shift in prescribing of antihypertensive drugs towards the use of thiazides in our trial . A major reason to promote the use of thiazides is their lower price compared to other drugs . The cost of the intervention was more than twice the savings within the time frame of our study . However , we predict modest savings over a 2-y period UNLABELLED What is already known about this subject . Computerized prompts and reminders have been shown to be effective in changing the behaviour of health professionals in a variety of setting s. There is little literature describing or evaluating electronic decision-support for pharmacists . What this study adds . An electronic prompt in dispensing software for a targeted clinical intervention has a significant effect on  pharmacists  ' behaviour . A markedly increased rate of recording and performing the targeted clinical intervention was found . The effect of the prompt reduces markedly once the prompt is deactivated . AIM To evaluate the effect of an electronic prompt in dispensing software on the frequency of clinical interventions recorded by community pharmacists . METHOD An electronic decision-support prompt identifying patients for a targeted proactive clinical intervention was developed and implemented . Each time an oral antidiabetic agent was dispensed , a prompt was displayed reminding pharmacists to discuss the suitability of aspirin therapy in eligible patients with diabetes . The prompt was r and omly assigned to 31 of 52 metropolitan pharmacies in Melbourne ( Australia ) for 6 weeks , with the remaining pharmacies as controls . RESULTS One hundred and fifty pharmacists in 52 pharmacies recorded a total of 2396 clinical interventions at an intervention rate of 0.92 interventions per 100 patients [ 95 % confidence interval ( CI ) 0.58 , 1.23 ] . Pharmacists recorded a total of 201 target interventions related to aspirin therapy in diabetes at an intervention rate of 2.55 interventions per 100 diabetic patients ( 95 % CI 0.85 , 4.24 ) . All of the targeted clinical interventions were recorded in the prompt arm ; no targeted interventions were recorded in the control group . The effect of the prompt decreased over the study period and was not maintained after prompt deactivation . CONCLUSION An electronic prompt significantly increased pharmacists ' recording of the targeted clinical intervention in diabetic patients . An electronic decision-support prompt has significant potential to promote community pharmacists ' contribution to the quality use of medicines OBJECTIVES To apply and evaluate the effects of a program for computer generated physician reminders , integrated with an electronic patient record ( EPR ) system , for opportunistic health screening in elderly patients . DESIGN A pilot study design ed as a 20-month clinical trial with a control group and a 20-month non-intervention follow-up using a computer reminder program that selects patients for screening in five intervention areas ( diabetes , hypertension , cobalamin deficiency , hypothyroidism and anaemia ) . SETTING Four primary health care ( PHC ) centres in suburban Stockholm . SUBJECTS The intervention was design ed for patients 70 years or older from one health care centre who visited a general practitioner ( GP ) during the first 20-month period . Patients from the three remaining centres served as controls . MAIN OUTCOME MEASURES The number of patients who underwent the tests , who had pathological test results , new diagnoses and new pharmacological treatments in both patient groups . RESULTS In total , 602 patients underwent screening and 1989 were controls . There was a statistically significant , moderate or marked increase ( 13 - 75 % ) in the number of patients who were tested in all five intervention areas . An increase in pathological test results ( 1 - 8 % ) was found in two areas : hypertension and cobalamin deficiency . There was an increase in the number of patients with the diagnosis of cobalamin deficiency during the study . At follow-up a decrease in new diagnoses for anaemia was found . CONCLUSION The system seems to be associated with a moderate to large increase in laboratory and manual screening tests for both established and new screening areas . The effect on clinical outcomes was found mainly in a not-yet-established screening area ( cobalamin deficiency ) , indicating that the system may be clinical ly useful when introducing new screening services 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 Background Cardiovascular disease ( including coronary heart disease and stroke ) is a major cause of death and disability in the United Kingdom , and is to a large extent preventable , by lifestyle modification and drug therapy . The recent st and ardisation of electronic codes for cardiovascular risk variables through the United Kingdom 's new General Practice contract provides an opportunity for the application of risk algorithms to identify high risk individuals . This r and omised controlled trial will test the benefits of an automated system of alert messages and practice search es to identify those at highest risk of cardiovascular disease in primary care data bases . Design Patients over 50 years old in practice data bases will be r and omised to the intervention group that will receive the alert messages and search es , and a control group who will continue to receive usual care . In addition to those at high estimated risk , potentially high risk patients will be identified who have insufficient data to allow a risk estimate to be made . Further groups identified will be those with possible undiagnosed diabetes , based either on elevated past recorded blood glucose measurements , or an absence of recent blood glucose measurement in those with established cardiovascular disease . Outcome measures The intervention will be applied for two years , and outcome data will be collected for a further year . The primary outcome measure will be the annual rate of cardiovascular events in the intervention and control arms of the study . Secondary measures include the proportion of patients at high estimated cardiovascular risk , the proportion of patients with missing data for a risk estimate , and the proportion with undefined diabetes status at the end of the trial BACKGROUND Optimal care for patients with diabetes is difficult to achieve in clinical practice . OBJECTIVE To evaluate the impact of a registry and decision support system on processes of care , and physiologic control . PARTICIPANTS R and omized trial with clustering at the practice level , involving 7,412 adults with diabetes in 64 primary care practice s in the Northeast . INTERVENTIONS Provider decision support ( reminders for overdue diabetes tests , alerts regarding abnormal results , and quarterly population reports with peer comparisons ) and patient decision support ( reminders and alerts ) . MEASUREMENTS AND MAIN RESULTS Process and physiologic outcomes were evaluated in all subjects . Functional status was evaluated in a r and om patient sample via question naire . We used multiple logistic regression to quantify the effect , adjusting for clustering and potential confounders . Intervention subjects were significantly more likely to receive guideline -appropriate testing for cholesterol ( OR = 1.39 ; [ 95%CI 1.07 , 1.80 ] P = 0.012 ) , creatinine ( OR = 1.40 ; [ 95%CI 1.06 , 1.84 ] P = 0.018 ) , and proteinuria ( OR = 1.74 ; [ 95%CI 1.13 , 1.69 ] P = 0.012 ) , but not A1C ( OR = 1.17 ; [ 95 % CI 0.80 , 1.72 ] P = 0.43 ) . Rates of control of A1C and LDL cholesterol were similar in the two groups . There were no differences in blood pressure , body mass index , or functional status . CONCLUSIONS A chronic disease registry and decision support system based on easily obtainable laboratory data was feasible and acceptable to patients and providers . This system improved the process of laboratory monitoring in primary care , but not physiologic control Abstract Objectives : To investigate the effect of a computer based clinical decision support system and a risk chart on absolute cardiovascular risk , blood pressure , and pres 
    Output:
    