***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 Studies of the use of anti-inflammatory asthma therapy have been limited to selected population s or have been unable to assess the appropriateness of therapy for individuals . OBJECTIVE We sought to describe the current use of asthma medication in the United States population and to examine the influence of symptoms and sociodemographics on medication use . METHODS This study was based on a cross-sectional , national , r and om-digit-dial household telephone survey in 1998 design ed to identify adult patients and parents of children with current asthma . Respondents were classified as having current asthma if they had a physician 's diagnosis of asthma and were either taking medication for asthma or had asthma symptoms during the past year . RESULTS One or more persons met the study criteria for current asthma in 3273 ( 7.8 % ) households in which a screening question naire was completed . Of these , 2509 persons ( 721 children < 16 years ) with current asthma were interviewed . Current use of anti-inflammatory medication  was reported by 507 ( 20.1 % ) . Of these , most were using  inhaled corticosteroids  ( 72.5 % ) , with use of antileukotrienes reported by 11.4 % and use of cromolyn-nedocromil reported by 18.6 % . Of persons with persistent asthma symptoms in the past month , 26.2 % reported current use of some form of anti-inflammatory medication .  In bivariate analysis persons reporting lower income , less education , and present unemployment , as well as smokers , were significantly ( P < .001 ) less likely to report current anti-inflammatory use than were other population s. In a multiple regression model nonsmokers and those of white , non-Hispanic ethnicity , as well as persons reporting less asthma control , were more likely to report current anti-inflammatory medication use . CONCLUSION In the United States use of appropriate asthma therapy remains inadequate . Strategies to increase use of anti-inflammatory therapy  among patients with asthma are needed . These might include methods to increase access to asthma care for minorities and the socioeconomically disadvantaged Background In patients with prednisone-dependent asthma the dose of oral corticosteroids should be adjusted to the lowest possible level to reduce long-term adverse effects . However , the optimal strategy for tapering oral corticosteroids is unknown . Objective To investigate whether an internet-based management tool including home monitoring of symptoms , lung function and fraction of exhaled nitric oxide ( FENO ) facilitates tapering of oral corticosteroids and leads to reduction of corticosteroid consumption without worsening asthma control or asthma-related quality of life . Methods In a 6-month pragmatic r and omised prospect i ve multicentre study , 95 adults with prednisone-dependent asthma from six pulmonary outpatient clinics were allocated to two tapering strategies : according to conventional treatment ( n=43 ) or guided by a novel internet-based monitoring system ( internet strategy ) ( n=52 ) . Primary outcomes were cumulative sparing of prednisone , asthma control and asthma-related quality of life . Secondary outcomes were forced expiratory volume in 1 s ( FEV1 ) , exacerbations , hospitalisations and patient 's satisfaction with the tapering strategy . Results Median cumulative sparing of prednisone was 205 ( 25–75th percentile −221 to 777 ) mg in the internet strategy group compared with 0 ( −497 to 282 ) mg in the conventional treatment group ( p=0.02 ) . Changes in prednisone dose ( mixed effect regression model ) from baseline were −4.79 mg/day and + 1.59 mg/day , respectively ( p<0.001 ) . Asthma control , asthma-related quality of life , FEV1 , exacerbations , hospitalisations and satisfaction with the strategy were not different between groups . Conclusions An internet-based management tool including home monitoring of symptoms , lung function and FENO in severe asthma is superior to conventional treatment in reducing total corticosteroid consumption without compromising asthma control or asthma-related quality of life . Clinical trial registration number Clinical trial registered with http://www.trialregister.nl ( Netherl and s Trial Register number 1146 ) Background Internet-based self-management has shown to improve asthma control and asthma related quality of life , but the improvements were only marginally clinical ly relevant for the group as a whole . We hypothesized that self-management guided by weekly monitoring of asthma control tailors pharmacological therapy to individual needs and improves asthma control for patients with partly controlled or uncontrolled asthma . Methods In a 1-year r and omised controlled trial involving 200 adults ( 18 - 50 years ) with mild to moderate persistent asthma we evaluated the adherence with weekly monitoring and effect on asthma control and pharmacological treatment of a self-management algorithm based on the Asthma Control Question naire ( ACQ ) . Participants were assigned either to the Internet group ( n = 101 ) that monitored asthma control weekly with the ACQ on the Internet and adjusted treatment using a self-management algorithm supervised by an asthma nurse specialist or to the usual care group ( UC ) ( n = 99 ) . We analysed 3 subgroups : patients with well controlled ( ACQ ≤ 0.75 ) , partly controlled ( 0.75>ACQ ≤ 1.5 ) or uncontrolled ( ACQ>1.5 ) asthma at baseline .  Results Overall monitoring adherence was 67 % ( 95 % CI , 60 % to 74 % ) . Improvements in ACQ score after 12 months were -0.14 ( p = 0.23 ) , -0.52 ( p < 0.001 ) and -0.82 ( p < 0.001 ) in the Internet group compared to usual care for patients with well , partly and uncontrolled asthma at baseline , respectively . Daily inhaled corticosteroid dose significantly increased in the Internet group compared to usual care in the first 3 months in patients with uncontrolled asthma ( + 278 μg , p = 0.001 ) , but not in patients with well or partly controlled asthma . After one year there were no differences in daily inhaled corticosteroid use or long-acting β2-agonists between the Internet group and usual care . Conclusions Weekly self-monitoring and subsequent treatment adjustment leads to improved asthma control in patients with partly and uncontrolled asthma at baseline and tailors asthma medication to individual patients ' needs . Trial registration Current Controlled Trials IS RCT OBJECTIVE : Asthma continues to be 1 of the most common chronic diseases of childhood and affects ∼6 million US children . Although National Asthma Education Prevention Program guidelines exist and are widely accepted , previous studies have demonstrated poor clinician adherence across a variety of population s. We sought to determine if clinical decision support ( CDS ) embedded in an electronic health record ( EHR ) would improve clinician adherence to national asthma guidelines in the primary care setting . METHODS : We conducted a prospect i ve cluster-r and omized trial in 12 primary care sites over a 1-year period . Practice s were stratified for analysis according to whether the site was urban or suburban . Children aged 0 to 18 years with persistent asthma were identified by International Classification of Diseases , Ninth Revision codes for asthma . The 6 intervention- practice sites had CDS alerts imbedded in the EHR . Outcomes of interest were the proportion of children with at least 1 prescription for controller medication , an up-to- date asthma care plan , and the performance of office-based spirometry . RESULTS : Increases in the number of prescriptions for controller medications , over time , was 6 % greater ( P = .006 ) and 3 % greater for spirometry ( P = .04 ) in the intervention urban practice s. Filing an up-to- date asthma care plan improved 14 % ( P = .03 ) and spirometry improved 6 % ( P = .003 ) in the suburban practice s with the intervention . CONCLUSION : In our study , using a cluster-r and omized trial design , CDS in the EHR , at the point of care , improved clinician compliance with National Asthma Education Prevention Program guidelines BACKGROUND Although computerized physician order entry reduces medication errors among in patients , little is known about the use of this system in primary care . METHODS We calculated the override rate among 3481 consecutive alerts generated at 5 adult primary care practice s that use a common computerized physician order entry system for prescription writing . For detailed review , we selected a r and om sample of 67 alerts in which physicians did not prescribe an alerted medication and 122 alerts that result ed in a written prescription . We identified factors associated with the physicians ' decisions to override a medication alert , and determined whether an adverse drug event ( ADE ) occurred . RESULTS Physicians overrode 91.2 % of drug allergy and 89.4 % of high-severity drug interaction alerts . In the multivariable analysis using the medical chart review sample ( n = 189 ) , physicians were less likely to prescribe an alerted medication if the prescriber was a house officer ( odds ratio [ OR ] , 0.26 ; 95 % confidence interval [ CI ] , 0.08 - 0.84 ) and if the patient had many drug allergies ( OR , 0.70 ; 95 % CI , 0.53 - 0.93 ) . They were more likely to override alerts for renewals compared with new prescriptions ( OR , 17.74 ; 95 % CI , 5.60 - 56.18 ) . We found no ADEs in cases where physicians observed the alert and 3 ADEs among patients with alert overrides , a nonsignificant difference ( P = .55 ) . Physician review ers judged that 36.5 % of the alerts were inappropriate . CONCLUSIONS Few physicians changed their prescription in response to a drug allergy or interaction alert , and there were few ADEs , suggesting that the threshold for alerting was set too low . Computerized physician order entry systems should suppress alerts for renewals of medication combinations that patients currently tolerate Purpose : Physicians and patients frequently miss opportunities to improve the quality of care of diabetes , primarily because of the complexity of managing many risk factors over many years with many other providers . Electronic decision support is a potential way to improve prescribing and quality of care . Shared care , meaning patients and physicians sharing access to the patient ’s status compared to recommended targets , is thought to improve outcomes as are supportive reminders . Our objective was to rigorously evaluate whether an electronic medical record (EMR)-linked , individualized electronic diabetes tracker with automated telephone reminders could improve the quality of diabetes management in primary care . Methods : Community-based family physicians across Ontario who were already using EMRs in their practice , were recruited . Patient and physician versions of a Web-based diabetes tracker , the ( COMPETE II Diabetes Tracker ( CIIDT ) system , were developed . The main tracker page showed all 13 monitoring variables – the patient ’s recent values , both process ( when last checked ) and outcome ( the result ) , target values for process and outcome , and short advisory messages , with red/yellow/green highlighting to indicate urgency of review . Links to best evidence guidelines and patient re sources were provided . The physician view appeared as an overlay in a corner of their own electronic medical record ( N = 6 EMR products ) . Intervention patients were linked to a voice biometric-enabled automated telephone reminder system ( ATRS ) for medications , labs and visits .  Consenting patients with diabetes were r and omized to the CIIDT-ATRS intervention or usual care ( neither ) . Since the study was relatively short ( 6 months follow-up ) , the primary outcome was a composite score of process quality – the quality of monitoring the variables compared to target . Secondary outcomes included clinical outcomes plus evaluations of the tracker and ATRS , and impact on health information privacy . Results : Forty-eight physicians ( mean age ( SD ) = 45.2 ( 10.0 ) , 38.2 % female ) were recruited and 511 patients ( mean age ( SD ) = 60.3 ( 12.4 ) , 49.6 % female , 78 % completed high school ) were r and omized . Only 46.1 % of patients used the Internet at least monthly so print versions of their recent information were sent to them prior to their physician visits . There were frequent technical problems with the Web-based tracker and a lack of data integration between the various EMRs and the tracker . Despite problems , the primary outcome of composite score of physician visits , and checks of blood pressure ( BP ) , LDL cholesterol , HbA1C , microalbuminuria , BMI , feet and eyes , showed a highly statistically significant improvement in the intervention group compared to control ( p<0.0001 ) . There were also highly statistically significant improvements in actual blood pressure ( -2.68 mm diastolic BP , p=0.007 ) and in HbA1C ( -.2 % , p=0.001 ) . 75.9 % of intervention patients were as satisfied or more satisfied with their care since the use of the tracker system and 62.5 % voted to continue to receive ATRS reminders . 22.4 % of patients felt that , in general , the risk of possible loss of confidentiality outweighed the benefits that computers could bring to their health . Over the course of the study , physicians developed a more favourable attitude towards the benefits vs risks of computerized systems in healthcare . Discussion : Despite considerable technical challenges for both patients and physicians , we have demonstrated that the care of a complex chronic disease can be improved with electronic tracking and decision support for both physician and patient . 
    Output:
    
Conclusion Evidence supports the effectiveness of CCDSS in the care of people with asthma .
However there is very little information of its use in COPD care .
Although there is considerable improvement in the health care process measures and clinical outcomes through the use of CCDSSs , its effects on user workload and efficiency , safety , costs of care , provider and patient satisfaction remain understudied