***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 : There is a well-documented gap between diabetes care guidelines and the services received by patients in almost all health care setting s. This project reports initial results from a computer-assisted , patient-centered intervention to improve the level of recommended services received by patients from a wide variety of primary care providers . DESIGN AND SETTING S : Eight hundred eighty-six patients with type 2 diabetes under the care of 52 primary care physicians participated in the Diabetes Priority Program . Physicians were stratified and r and omized to intervention or control conditions and evaluated on 2 primary outcomes : number of recommended laboratory screenings and recommended patient-centered care activities completed . Secondary outcomes were evaluated using the Problem Areas in Diabetes scale and the Patient Health Question naire (PHQ)-9 depression scale , and the RE- AIM framework was used to evaluate potential for dissemination . RESULTS : The program was well-implemented and significantly improved both number of recommended laboratory assays ( 3.4 vs 3.1 ; P<.001 ) and patient-centered aspects of diabetes care patients received ( 3.6 vs 3.2 ; P<.001 ) compared to those in r and omized control practice s. Activities that were increased most were foot exams ( follow-up rates of 80 % vs 52 % ; P<.003 ) and nutrition counseling ( 76 % vs 52 % ; P<.001 ) . CONCLUSIONS : Patients are very willing to participate in a brief computer-assisted intervention that is effective in enhancing quality of diabetes care . Staff in primary care offices can consistently deliver an intervention of this nature , but most physicians were unwilling to participate in this translation research study Abstract Objective : To assess the effect of a multifaceted intervention directed at general practitioners on six year mortality , morbidity , and risk factors of patients with newly diagnosed type 2 diabetes . Design : Pragmatic , open , controlled trial with r and omisation of practice s to structured personal care or routine care ; analysis after 6 years . Setting : 311 Danish practice s with 474 general practitioners ( 243 in intervention group and 231 in comparison group ) . Participants : 874 ( 90.1 % ) of 970 patients aged ≥40 years who had diabetes diagnosed in 1989 - 91 and survived until six year follow up . Intervention : Regular follow up and individualised goal setting supported by prompting of doctors , clinical guidelines , feedback , and continuing medical education . Main outcome measures : Predefined clinical non-fatal outcomes , overall mortality , risk factors , and weight . Results : Predefined non-fatal outcomes and mortality were the same in both groups . The following risk factor levels were lower for intervention patients than for comparison patients ( median values ) : fasting plasma glucose concentration ( 7.9 v 8.7 mmol/l , P=0.0007 ) , glycated haemoglobin ( 8.5 % v 9.0 % , P<0.0001 ; reference range 5.4 - 7.4 % ) , systolic blood pressure ( 145 v 150 mm Hg , P=0.0004 ) , and cholesterol concentration ( 6.0 v 6.1 mmol/l , P=0.029 , adjusted for baseline concentration ) . Both groups had lost weight since diagnosis ( 2.6 v 2.0 kg ) . Metformin was the only drug used more frequently in the intervention group ( 24 % ( 110/459 ) v 15 % (61/415)).Intervention doctors arranged more follow up consultations , referred fewer patients to diabetes clinics , and set more optimistic goals . Conclusions : In primary care , individualised goals with educational and surveillance support may for at least six years bring risk factors of patients with type 2 diabetes to a level that has been shown to reduce diabetic complications but without weight gain . What is already known on this topic Evidence is increasing that control of hyperglycaemia , hypertension , and dyslipidaemia may postpone the development of diabetic complications in patients with type 2 diabetes Maintaining good control over a long period can be difficult What this study adds Structured individualised personal care with educational and surveillance support for general practitioners reduced levels of risk factors in type 2 diabetic patients after six years Risk factors were reduced to a level that has been shown to have a beneficial effect on diabetic complications Participants also showed modest weight Disease-specific st and ards for directing patient management are becoming increasingly important . These st and ards , however , are often not followed because they are not sufficiently integrated into the clinical care setting . In this study we describe the development and evaluation of a Computer-Assisted Management Protocol ( CAMP ) of care guidelines for diabetes mellitus . While other studies have shown improved compliance with rule-based reminders , the CAMP customizes disease-specific care guidelines to individual patients over time . We evaluated the effect of the CAMP on compliance with guidelines in a prospect i ve , r and omized controlled study . The study was performed at a family practice clinic where much of the patient record is maintained electronically on The Medical Record ( TMR ) . The management protocol was developed from st and ards published by the American Diabetes Association . Fifty-eight providers were r and omized to either receive or not receive the CAMP for diabetes . Compliance with st and ards  was assessed by chart audits of all encounters with diabetic patients during the study interval . The following conclusion was made : the Computer-Assisted Management Protocol result ed in a statistically significant improvement in compliance with diabetes care st and ards CONTEXT Performance feedback and benchmarking , common tools for health care improvement , are rarely studied in r and omized trials . Achievable Benchmarks of Care ( ABCs ) are st and ards of excellence attained by top performers in a peer group and are easily and reproducibly calculated from existing performance data . OBJECTIVE To evaluate the effectiveness of using achievable benchmarks to enhance typical physician performance feedback and improve care . DESIGN Group-r and omized controlled trial conducted in December 1996 , with follow-up through 1998 . SETTING AND PARTICIPANTS Seventy community physicians and 2978 fee-for-service Medicare patients with diabetes mellitus who were part of the Ambulatory Care Quality Improvement Project in Alabama . INTERVENTION Physicians were r and omly assigned to receive a multimodal improvement intervention , including chart review and physician-specific feedback ( comparison group ; n = 35 ) or an identical intervention plus achievable benchmark feedback ( experimental group ; n = 35 ) . MAIN OUTCOME MEASURE Preintervention ( 1994 - 1995 ) to postintervention ( 1997 - 1998 ) changes in the proportion of patients receiving influenza vaccination ; foot examination ; and each of 3 blood tests measuring glucose control , cholesterol level , and triglyceride level , compared between the 2 groups . RESULTS The proportion of patients who received influenza vaccine  improved from 40 % to 58 % in the experimental group ( P<.001 ) vs from 40 % to 46 % in the comparison group ( P = .02 ) . Odds ratios ( ORs ) for patients of achievable benchmark physicians vs comparison physicians who received appropriate care after the intervention , adjusted for preintervention care and nesting of patients within physicians , were 1.57 ( 95 % confidence interval [ CI ] , 1.26 - 1.96 ) for influenza vaccination , 1.33 ( 95 % CI , 1.05 - 1.69 ) for foot examination , and 1.33 ( 95 % CI , 1.04 - 1.69 ) for long-term glucose control measurement . For serum cholesterol and triglycerides , the achievable benchmark effect was statistically significant only after additional adjustment for physician characteristics ( OR , 1.40 [ 95 % CI , 1.08 - 1.82 ] and OR , 1.40 [ 95 % CI , 1.09 - 1.79 ] , respectively ) . CONCLUSION Use of achievable benchmarks significantly enhances the effectiveness of physician performance feedback in the setting of a multimodal quality improvement intervention OBJECTIVE Management of diabetes is frequently suboptimal in primary care setting s , where providers often fail to intensify therapy when glucose levels are high , a problem known as clinical inertia . We asked whether interventions targeting clinical inertia can improve outcomes . RESEARCH DESIGN AND METHODS A controlled trial over a 3-year period was conducted in a municipal hospital primary care clinic in a large academic medical center . We studied all patients ( 4,138 ) with type 2 diabetes who were seen in continuity clinics by 345 internal medicine residents and were r and omized to be control subjects or to receive one of three interventions . Instead of consultative advice , the interventions were hard copy computerized reminders that provided patient-specific recommendations for management at the time of each patient 's visit , individual face-to-face feedback on performance for 5 min every 2 weeks , or both . RESULTS Over an average patient follow-up of 15 months within the intervention site , improvements in and final HbA1c ( A1C ) with feedback + reminders ( deltaA1C 0.6 % , final A1C 7.46 % ) were significantly better than control ( deltaA1C 0.2 % , final A1C 7.84 % , P < 0.02 ) ; changes were smaller with feedback only and reminders only ( P = NS vs. control ) . Trends were similar but not significant with systolic blood pressure ( sBP ) and LDL cholesterol . Multivariable analysis showed that the feedback intervention independently facilitated attainment of American Diabetes Association goals for both A1C and sBP . Over a 2-year period , overall glycemic control improved in the intervention site but did not change in other primary care sites ( final A1C 7.5 vs. 8.2 % , P < 0.001 ) . CONCLUSIONS Feedback on performance aim ed at overcoming clinical inertia and given to internal medicine resident primary care providers improves glycemic control . Partnering generalists with diabetes specialists may be important to enhance diabetes management in other primary care setting OBJECTIVES To evaluate the implementation of clinical guidelines for diabetes mellitus in general practice with a specific computer-based clinical decision support system ( CDSS ) as part of the intervention . METHODS R and omized study with health center as unit . General practice in Sør- and Nord-Trøndelag counties in Norway , 380,000 inhabitants . Seventeen health centers with 24 doctors and 499 patients with diabetes mellitus were in the intervention group and 12 health centers with 29 doctors and 535 patients were in the control group . Main outcome measures were group differences in fractions of patients without registration s ( process evaluation ) and mean group differences for the same variables ( patient outcome evaluation ) . RESULTS Statistically significant group differences were experienced for fractions of patients without registration of cigarette smoking ( intervention group , 82.6 % ; control group 94.5 % ) , body mass index ( 78.2 % vs. 93.0 % ) , and sufficient registration s for calculation of risk score for myocardial infa rct ion ( 91.1 % vs. 98.3 % ) ; all during 18 months . Large center variations were shown for all variables . The only statistically significant group difference was -2.3 mm Hg ( 95 % CI , -3.8 , -0.8 ) in diastolic blood pressure in favor of the intervention group . Statistically insignificant differences in favor of the intervention group were HbA1c , -0.1 % ( 95 % CI , -0.4 , 0.1 ) , systolic blood pressure , -1.2 mm Hg ( 95 % CI , -4.4 , 2.0 ) . Statistically insignificant differences in favor of the control group were fractions of smokers , + 3.0 % ( 95 % CI , -4.0 , 10.0 ) , body mass index , + 0.3 kg/m2 ( 95 % CI , -0.8 , 1.4 ) , risk score in female + 0.1 ( 95 % CI , -5.1 , 5.2 ) , and risk score in male + 2.6 ( 95 % CI , -14.2 , 19.5 ) . CONCLUSIONS Implementation of clinical guidelines for diabetes mellitus in general practice , by means of a CDSS and several procedures for implementation , did not result in a clinical ly significant change in doctors ' behavior or in patient outcome PURPOSE Clinical guidelines are design ed to assist in the management of specific diseases ; however , these guidelines are often neglected in the delivery of care . The purpose of this study was to determine whether clinician use of an clinical practice guideline would increase in response to having , at the patient visit , a decision support system based on a practice guideline that generates a customized management protocol for the individual patient using data from the patient 's electronic medical record . SUBJECTS AND METHODS In a 6-month controlled trial at a primary care clinic , 58 primary care clinicians were r and omized to receive either a special encounter form with the computer-generated guideline recommendations or a st and ard encounter form . The effect of computer-generated advice on clinician behavior was measured as rate of compliance with guideline recommendations . Data from 30 clinicians were analyzed ; data from 28 clinicians were excluded because these clinicians did not meet predefined criteria for minimum exposure to diabetic patient care . RESULTS Availability of patient management recommendations generated by the decision support system result ed in a two-fold increase in clinician compliance with care guidelines for diabetes mellitus ( P = 0.01 ) . Median compliance for the group receiving the recommendations was 32.0 % versus 15 
    Output:
    
Feedback improved the care for PT2D , particularly process outcomes such as foot exams , eye exams and Hba1c measurements .
Many process and outcome measures did not improve , while none deteriorated .