***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: Abstract Objective : To evaluate the use of a computerised support system for decision making for implementing evidence based clinical guidelines for the management of asthma and angina in adults in primary care . Design : A before and after pragmatic cluster r and omised controlled trial utilising a two by two incomplete block design . Setting : 60 general practice s in north east Engl and . Participants : General practitioners and practice nurses in the study practice s and their patients aged 18 or over with angina or asthma . Main outcome measures : Adherence to the guidelines , based on review of case notes and patient reported generic and condition specific outcome measures . Results : The computerised decision support system had no significant effect on consultation rates , process of care measures ( including prescribing ) , or any patient reported outcomes for either condition . Levels of use of the software were low . Conclusions : No effect was found of computerised evidence based guidelines on the management of asthma or angina in adults in primary care . This was probably due to low levels of use of the software , despite the system being optimised as far as was technically possible . Even if the technical problems of producing a system that fully supports the management of chronic disease were solved , there remains the challenge of integrating the systems into clinical encounters where busy practitioners manage patients with complex , multiple conditions 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 BACKGROUND Good blood pressure ( BP ) control reduces the risk of complications in people with type 2 diabetes , yet many do not achieve this . Guidelines for managing hypertension recommend increasing antihypertensive medications until control is achieved , but the effect of such recommendations in routine primary care is unknown . AIM To evaluate the effectiveness of a BP treatment algorithm in primary care patients with type 2 diabetes . DESIGN OF STUDY A cluster r and omised controlled trial of 1534 patients with type 2 diabetes . SETTING Forty-two practice s in Nottingham , UK . METHOD Practice s were r and omised to continue usual care or to use a treatment algorithm design ed so that practice nurses and GPs would increase antihypertensive treatment in steps until the target of 140/80 mmHg was reached . Participants were assessed by a clinical interview and case note review at recruitment and at 1 year . The primary outcome measure was the proportion of participants achieving target BP at 1 year . RESULTS At 1 year there was no difference between the proportions of participants with well controlled BP in the intervention and control arms ( 36.6 % versus 34.3 % ; P = 0.27 ) . Mean systolic and diastolic blood pressures were identical in the two arms ( 143/78 mmHg ) . There was some evidence that participants in the intervention arm were more likely to be receiving higher doses of their antihypertensive drugs , although there was no significant difference in the number of different antihypertensive drugs prescribed . Participants in the intervention arm had a higher rate of primary care BP-related consultations over 12 months than those receiving usual care ( rate ratio = 1.55 , 95 % confidence interval [ CI ] = 1.26 to 1.88 , P<0.001 ) . CONCLUSION Despite increased monitoring and possibly higher doses of medication there was no improvement in blood pressure control . Improvements achieved by specialist nurse-led clinics in secondary care may not translate to people with type 2 diabetes in primary care setting OBJECTIVE To measure the effect of faith community nurse referrals versus telephone-assisted physician appointments on blood pressure control among persons with elevated blood pressure at health fairs . METHODS R and omized community-based intervention trial conducted from October 2006 to October 2007 of 100 adults who had an average blood pressure reading equal to or above a systolic of 140 mm Hg or a diastolic of 90 mm Hg obtained at a faith community nurse-led church health event . Participants were r and omized to either referral to a faith community nurse or to a telephone-assisted physician appointment .  The average enrollment systolic blood pressure ( SBP ) was 149 ± 14 mm Hg , diastolic blood pressure ( DBP ) was 87 ± 11 mm Hg , 57 % were uninsured and 25 % were undiagnosed at the time of enrollment . RESULTS The follow-up rate was 85 % at 4 months . Patients in the faith community nurse referral arm had a 7 ± 15 mm Hg drop in SBP versus a 14 ± 15 mm Hg drop in the telephone-assisted physician appointment arm ( p = 0.04 ) . Twenty-seven percent of the patients in the faith community nurse referral arm had medication intensification compared to 32 % in the telephone-assisted physician appointment arm ( p = 0.98 ) . CONCLUSIONS Church health fairs conducted in low-income , multiethnic communities can identify many people with elevated blood pressure . Facilitating physician appointments for people with elevated blood pressure identified at health fairs confers a greater decrease in SBP than referral to a faith community nurse at four months Address correspondence to : L.D. Saunders , Department of Health Services Administration and Community Medicine , 13 - 103 Clinical Sciences Building , University of Alberta , Edmonton , Alberta Canada T6 G 2G3 among patients attending a primary health care ( PHC ) clinic in Soweto for antihypertensive drug therapy .  In a 1-year follow-up study of an inception cohort of newly treated hypertensives , only 27 % were compliant ( defined as attending frequently enough to receive 80 % or more of their required treatment ) , 42 % were not seen after the first 3 months ( early dropouts ) , and 22 % continued to attend until the last 3 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 The heterogeneity statistic I2 , interpreted as the percentage of variability due to heterogeneity between studies rather than sampling error , depends on precision , that is , the size of the studies included . Methods Based on a real meta- analysis , we simulate artificially ' inflating ' the sample size under the r and om effects model . For a given inflation factor M = 1 , 2 , 3 , ... and for each trial i , we create a M-inflated trial by drawing a treatment effect estimate from the r and om effects model , using si2MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi = xH8viVGI8Gi = hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY = rqGqVepae9pg0db9vqaiVgFr0xfr = xfr = xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaem4Cam3aa0baaSqaaiabdMgaPbqaaiabikdaYaaaaaa@2FBE@/M as within-trial sampling variance . Results As precision increases , while estimates of the heterogeneity variance τ2 remain unchanged on average , estimates of I2 increase rapidly to nearly 100 % . A similar phenomenon is apparent in a sample of 157 meta-analyses . Conclusion When deciding whether or not to pool treatment estimates in a meta- analysis , the yard-stick should be the clinical relevance of any heterogeneity present . τ2 , rather than I2 , is the appropriate measure for this purpose BACKGROUND Although high blood pressure is associated with significant morbidity and mortality , the proportion reaching the goal blood pressures as outlined in the Seventh Report of the Joint National Committee on Prevention , Detection , Evaluation , Treatment of High Blood Pressure ( JNC 7 ) is low . We conducted a r and omized trial in primary care practice s of a multifactorial intervention targeted to improve providers ' adherence to hypertension guidelines . METHOD A total of 61 primary care practice s in North Carolina were r and omized to receive either a multifactorial intervention ( guideline dissemination via a continuing medical education session , academic detailing sessions , audit and feedback on preintervention rates of adherence , and automated blood pressure machines ) or an attention control of similar magnitude but targeted at a different guideline . Outcomes were determined through review of patient charts conducted by an independent masked quality assurance organization . RESULTS We found no difference between the 2 groups in any of the adherence measures including no difference in the percentage of patients at goal ( intervention 49.2 % , control 50.6 % ) , with undiagnosed hypertension  ( 18.1 % vs 13.6 % ) , average systolic ( 126 vs 125.1 mm Hg ) , or diastolic blood pressure ( 73.1 vs 73.4 mm Hg ) . Similarly , there was no difference in provider adherence to treatment recommendations ( use of thiazide-type diuretic as first-line therapy : 32 % vs 29.5 % ; use of 2-drug therapy in stage 2 hypertension : 11.3 % vs 10.4 % ) . CONCLUSION An intensive , multifactorial intervention did not improve adherence to national hypertension guidelines among community-based primary care . Efforts should be focused on other types of interventions to improve rates of control of hypertension Introduction We aim ed to assess whether hypertension management with a structured physician information program and a feedback system leads to improved blood pressure ( BP ) control and cardiovascular outcomes . Methods Cluster r and omized ( 3 : 1 ) , open , monitored , multicenter trial in Germany . Primary care-based physicians  in the information group ( IG ) received detailed training on hypertension guidelines , feedback on target-level attainment , and a reminder to intensify treatment after each patient visit , whereas the observation/control group ( CG ) did not receive any such measures . A three-level mixed model was developed . Time-independent level differences between groups , group-independent changes , and nonparallel group-specific changes over time were tested . Results A total of 15 041 ( 78.1 % ) hypertensive patients were in the IG and 4213 ( 21.9 % ) in the CG . By 1-year follow-up , 82.9 % of patients in 
    Output:
    
Implementation strategies were shown to be effective with substantial heterogeneity of treatment effects across all investigated strategies .
Especially the cooperation of different health professionals in primary care practice s might increase efficacy and guideline implementation seems to be more difficult in tertiary prevention of cardiovascular diseases