title: Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment: A Cluster Randomized Controlled Trial Improving Diabetes Care in Practice Internet based vascular risk factor management for patients with clinically manifest vascular disease: randomised controlled trial Research Paper: A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus Automated outreach to increase primary adherence to cholesterol-lowering medications. Bridging the quality gap in diabetic hyperlipidemia: a practice-based intervention. Effects Of Internet-Based Tailored Advice on the Use of Cholesterol-Lowering Interventions: A Randomized Controlled Trial Technology Evaluation: A Randomized Trial of Electronic Clinical Reminders to Improve Quality of Care for Diabetes and Coronary Artery Disease Simulated Physician Learning Intervention to Improve Safety and Quality of Diabetes Care: A Randomized Trial Web-Based Targeted Nutrition Counselling and Social Support for Patients at Increased Cardiovascular Risk in General Practice: Randomized Controlled Trial Shared electronic vascular risk decision support in primary care: Computerization of Medical Practices for the Enhancement of Therapeutic Effectiveness (COMPETE III) randomized trial. Combined Task Delegation, Computerized Decision Support, and Feedback Improve Cardiovascular Risk for Type 2 Diabetic Patients Relationship of baseline serum cholesterol levels in 3 large cohorts of younger men to long-term coronary, cardiovascular, and all-cause mortality and to longevity. Team-based care approach to cholesterol management in diabetes mellitus: two-year cluster randomized controlled trial. A controlled trial of web-based diabetes disease management: the MGH diabetes primary care improvement project. Impact of a multifaceted intervention on cholesterol management in primary care practices: guideline adherence for heart health randomized trial. Improving treatment intensification to reduce cardiovascular disease risk: a cluster randomized trial Improving Diabetes Care Among Patients Overdue for Recommended Testing: A Randomized Controlled Trial of Automated Telephone Outreach A novel programme to evaluate and communicate 10-year risk of CHD reduces predicted risk and improves patients' modifiable risk factor profile Does the use of an electronic reminder device with or without counseling improve adherence to lipid-lowering treatment? The results of a randomized controlled trial A randomized trial of an intervention to improve use and adherence to effective coronary heart disease prevention strategies Computerized community cholesterol control (4C): meeting the challenge of secondary prevention. Chronic care model and shared care in diabetes: randomized trial of an electronic decision support system. Translating Cholesterol Guidelines Into Primary Care Practice: A Multimodal Cluster Randomized Trial Randomized controlled trial of an informatics-based intervention to increase statin prescription for secondary prevention of coronary disease Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial Managing diabetes care using an integrated regional e-health approach The effects of a web-based intervention on the physical outcomes associated with diabetes among adults age 60 and older: a randomized trial. Practice-linked online personal health records for type 2 diabetes mellitus: a randomized controlled trial. Patient knowledge of coronary risk profile improves the effectiveness of dyslipidemia therapy: the CHECK-UP study: a randomized controlled trial. Effects of computerized guidelines for managing heart disease in primary care Implementing clinical guidelines in the treatment of hypertension in general practice. Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial
abstract: 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 . Of the total 2099 r and omized participants , 304 ( 14 % ) met eligibility criteria for cholesterol-lowering therapy but were not prescribed treatment , and 254 ( 12 % ) were prescribed treatment but were not achieving the recommended target level . Treatment was commenced or increased in 64 ( 6.0 % ) of the 1062 intervention group participants and 79 ( 7.6 % ) of the 1037 control group participants ( % difference = -1.6 % , 95 % confidence interval [ CI ] -3.75 to 0.57 , P = .15 ) . No differences were found between the r and omized groups for the secondary outcomes of “ discussed treatment with a health professional ” ( % difference = -3.8 % , 95 % confidence interval [ CI ] -8.16 to 0.19 , P = .08 ) , “ had their cholesterol checked ” ( % difference = -1.5 % , 95 % CI -5.79 to 2.71 , P = .48 ) , “ had their blood pressure checked ” ( % difference = 1.4 % , 95 % CI -2.55 to 5.34 , P = .49 ) or made a lifestyle change ( P values between .49 and .96 ) . Conclusions Despite providing specific carefully tailored advice , this website had no detectable effect on cholesterol management strategies . This finding raises considerable uncertainty about the value of Internet-based tools providing tailored advice directly to consumers . Trial Registration NCT00220974 ; http:// clinical trials.gov/ct2/show/NCT00220974 ( Archived by WebCite at http://www.webcitation.org/5sdq63rrY OBJECTIVE The aim of this study was to evaluate the impact of an integrated patient-specific electronic clinical reminder system on diabetes and coronary artery disease ( CAD ) care and to assess physician attitudes toward this reminder system . DESIGN We enrolled 194 primary care physicians caring for 4549 patients with diabetes and 2199 patients with CAD at 20 ambulatory clinics . Clinics were r and omized so that physicians received either evidence -based electronic reminders within their patients ' electronic medical record or usual care . There were five reminders for diabetes care and four reminders for CAD care . MEASUREMENTS The primary outcome was receipt of recommended care for diabetes and CAD . We created a summary outcome to assess the odds of increased compliance with overall diabetes care ( based on five measures ) and overall CAD care ( based on four measures ) . We surveyed physicians to assess attitudes toward the reminder system . RESULTS Baseline adherence rates to all quality measures were low . While electronic reminders increased the odds of recommended diabetes care ( odds ratio [ OR ] 1.30 , 95 % confidence interval [ CI ] 1.01 - 1.67 ) and CAD ( OR 1.25 , 95 % CI 1.01 - 1.55 ) , the impact of individual reminders was variable . A total of three of nine reminders effectively increased rates of recommended care for diabetes or CAD . The majority of physicians ( 76 % ) thought that reminders improved quality of care . CONCLUSION An integrated electronic reminder system result ed in variable improvement in care for diabetes and CAD . These improvements were often limited and quality gaps persist OBJECTIVE To assess two physician learning interventions design ed to improve safety and quality of diabetes care delivered by primary care physicians ( PCPs ) . RESEARCH DESIGN AND METHODS This group r and omized clinical trial included 57 consenting PCPs and their 2,020 eligible adult patients with diabetes . Physicians were r and omized to no intervention ( group A ) , a simulated case-based physician learning intervention ( group B ) , or the same simulated case-based learning intervention with physician opinion leader feedback ( group C ) . Dependent variables included A1C values , LDL cholesterol values , pharmacotherapy intensification rates in patients not at clinical goals , and risky prescribing events . RESULTS Groups B and C had substantial reductions in risky prescribing of metformin in patients with renal impairment ( P = 0.03 ) . Compared with groups A and C , physicians in group B achieved slightly better glycemic control ( P = 0.04 ) , but physician intensification of oral glucose-lowering medications was not affected by interventions ( P = 0.41 ) . Lipid management improved over time ( P < 0.001 ) but did not differ across study groups ( P = 0.67 ) . CONCLUSIONS A simulated , case-based learning intervention for physicians significantly reduced risky prescribing events and marginally improved glycemic control in actual patients . The addition of opinion leader feedback did not improve the learning intervention . Refinement and further development of this approach is warranted Background Using the Internet may prove useful in providing nutrition counselling and social support for patients with chronic diseases . Objective We evaluated the impact of Web-based nutrition counselling and social support on social support measures , anthropometry , blood pressure , and serum cholesterol in patients at increased cardiovascular risk . Methods We conducted a r and omized controlled trial among patients with increased cardiovascular risk in Canadian family practice s. During 8 months , patients in the intervention group and control groups received usual care . Patients in the intervention group also had access to a Web-based nutrition counselling and social support tool ( Heartweb ) . Site use during the study was monitored . We measured social support , body mass index , waist/hip ratio , blood pressure , and cholesterol levels at baseline and at 4 and 8 months to assess the effectiveness of the intervention . Results We r and omized 146 patients into the Web-based intervention ( n=73 ) or the control group ( n=73 ) . Within the Web-based intervention group , Heartweb was used by only 33 % ( 24/73 ) of patients , with users being significantly younger than nonusers ( P=.03 ) . There were no statistically significant differences between the intervention group and the control group in changes in social support , anthropometry , blood pressure , and serum cholesterol levels . Conclusions Uptake of the Web-based intervention was low . This study showed no favourable effects of a Web-based nutrition counselling and social support intervention on social support , anthropometry , blood pressure , and serum cholesterol . Improvements in reach and frequency of site use are needed to increase the effectiveness of Web-based interventions BACKGROUND Computerized decision support systems ( CDSSs ) linked with electronic medical records ( EMRs ) are promoted as an effective means of improving patient care . However , very few high- quality studies are set in routine , community-based clinical care , and no consistent evidence of an effect on patient outcomes has been found . METHODS A r and omized controlled trial among EMR-using primary care practice s in Ontario , Canada . Patients 55 years or older with previous vascular events , diabetes mellitus , hypertension , or hypercholesterolemia were r and omized to the Computerization of Medical Practice s for the Enhancement of Therapeutic Effectiveness ( COMPETE III ) CDSS intervention or to usual care . The intervention included personally tailored electronic vascular risk monitoring and treatment advice shared between the physician and patient , risk calculation , and a clinical re source . The primary outcome was a composite score of 8 recommended process outcomes at 1 year . Data collectors were blinded to group allocation . Analysis used the intention-to-treat principle with multiple imputation for missing data . RESULTS We r and omized and included in the analysis 1102 patients in 49 community-based physician practice s ( 53.4 % female ; mean age , 69.1 years ; 28.0 % with a previous vascular event ) . The intervention group ( 545 [ 49.5 % ] ) had a significantly greater improvement in mean process composite , with a difference of 4.70 ( P < .001 ) on a 27-point scale . Intervention patients had significantly higher odds of rating their continuity of care ( 4.18 ; P < .001 ) and their ability to improve their vascular health ( 3.07 ; P < .001 ) as improved . Despite this improvement , the clinical outcomes -vascular events , clinical variables , and quality of life-were not improved . CONCLUSION Despite favorable review s and important improvements in the complex processes required to reduce vascular risk , clinical outcomes remain unchanged OBJECTIVE —The Diabetes Care Protocol combines task delegation ( a practice nurse ) , computerized decision support , and feedback every 3 months . We studied the effect of the Diabetes Care Protocol on A1C and cardiovascular risk factors in type 2 diabetic patients in primary care . RESEARCH DESIGN AND METHODS —In a cluster r and omized trial , mean changes in cardiovascular risk factors between the intervention and control groups after 1 year were calculated by generalized linear models . RESULTS —Throughout the Netherl and s , 26 intervention practice s included 1,699 patients and 29 control practice s 1,692 patients . The difference in A1C change was not significant , whereas total cholesterol , LDL cholesterol , and blood pressure improved significantly more in the intervention group . The 10-year coronary heart disease risk estimate of the UK Prospect i ve Diabetes Study improved 1.4 % more in the intervention group . CONCLUSIONS —Delegation of routine diabetes care to a practice nurse combined with computerized decision support and feedback did not improve A1C but reduced cardiovascular risk in type 2 diabetes patients CONTEXT Based on observational and interventional data for middle-aged cohorts ( aged 40 - 64 years ) , serum cholesterol level is known to be an established major risk factor for coronary heart disease ( CHD ) . However , findings for younger people are limited , and the value of detecting and treating hypercholesterolemia in younger adults is debated . OBJECTIVE To evaluate the long-term impact of unfavorable serum cholesterol levels on risk of death from CHD , cardiovascular disease ( CVD ) , and all causes . DESIGN , SETTING , AND PARTICIPANTS Three prospect i ve studies , from which were selected 3 cohorts of younger men with baseline serum cholesterol level measurements and no history of diabetes mellitus or myocardial infa rct ion . A total of 11,017 men aged 18 through 39 years screened in 1967 - 1973 for the Chicago Heart Association Detection Project in Industry ( CHA ) ; 1266 men aged 25 through 39 years examined in 1959 - 1963 in the Peoples Gas Company Study ( PG ) ; and 69,205 men aged 35 through 39 years screened in 1973 - 1975 for the Multiple Risk Factor Intervention Trial ( MRFIT ) . MAIN OUTCOME MEASURES Cause-specific mortality during 25 ( CHA ) , 34 ( PG ) , and 16 ( MRFIT ) years of follow-up ; mortality risks ; and estimated life expectancy in relation to baseline serum cholesterol levels . RESULTS Death due to CHD accounted for 26 % , 34 % , and 28 % of all deaths in the CHA , PG , and MRFIT cohorts , respectively ; and CVD death for 34 % , 42 % , and 39 % of deaths in the same cohorts , respectively . Men in all 3 cohorts with unfavorable serum cholesterol levels ( 200 - 239 mg/dL [ 5.17 - 6.18 mmol/L ] and > /=240 mg/dL [ > /=6.21 mmol/L ] ) had strong gradients of relative mortality risk . For men with serum cholesterol levels of 240 mg/dL or greater ( > /=6.21 mmol/L ) vs favorable levels ( < 200 mg/dL [ < 5.17 mmol/L ] ) , CHD mortality risk was 2.15 to 3.63 times greater ; CVD disease mortality risk was 2.10 to 2.87 times greater ; and all-cause mortality was 1.31 to 1.49 times greater . Hypercholesterolemic men had age-adjusted absolute risk of CHD death of 59 per 1000 men in 25 years ( CHA cohort ) , 90 per 1000 men in 34 years ( PG cohort ) , and 15 per 1000 men in 16 years ( MRFIT cohort ) . Absolute excess risk was 43.6 per 1000 men ( CHA ) , 81.4 per 1000 men ( PG ) , and 12.1 per 1000 men ( MRFIT ) . Men with favorable baseline serum cholesterol levels had an estimated greater life expectancy of 3.8 to 8.7 years . CONCLUSIONS These results demonstrate a continuous , grade d relationship of serum cholesterol level to long-term risk of CHD , CVD , and all-cause mortality , substantial absolute risk and absolute excess risk of CHD and CVD death for younger men with elevated serum cholesterol levels , and longer estimated life expectancy for younger men with favorable serum cholesterol levels . JAMA . 2000;284:311 - BACKGROUND Creative , cost-effective interventions to improve the quality of care of chronic illnesses are needed . This study was design ed to evaluate the impact of remote physician-pharmacist team-based care on cholesterol levels in patients with diabetes mellitus ( DM ) . METHODS This 2-year prospect i ve , cluster r and omized controlled trial was conducted within the Providence Primary Care Research Network in Oregon . Participants at least 18 years of age were identified by a diagnosis of DM . The intervention included remote physician-pharmacist team-based care focused on cholesterol management in DM . All clinicians in the study had access to the health information technology tool CareManager , which provided automated DM-related point-of-care prompts , a Web-based registry , and performance feedback with benchmarking . Study outcomes included the difference in low-density lipoprotein cholesterol ( LDL-C ) goal attainment , mean LDL-C , prescribed lipid-lowering therapy , and patient satisfaction between the intervention and control arms . RESULTS A total of 6963 patients with DM cared for by 68 physicians in 9 clinics were evaluated . Patients in the intervention arm were more likely to achieve their target LDL-C levels compared with controls ( 78 % vs 50 % ; P = .003 ) . The mean LDL-C level was 12 mg/dL lower in the intervention arm compared with the control arm ( P < .001 ) . The rate of LDL-C testing was significantly higher in the intervention arm compared with the control arm . Patients in the intervention arm were also 15 % more likely to receive a prescription for a lipid-lowering medication ( P = .008 ) . There was no significant difference in patient satisfaction between study arms ( P = .15 ) . CONCLUSION Remotely located physician-pharmacist team-based care result ed in significantly improved LDL-C levels and goal attainment among patients with DM OBJECTIVE To test effects of a web-based decision support tool , the diabetes Disease Management Application ( DMA ) , developed to improve evidence -based management of type 2 diabetes . RESEARCH DESIGN AND METHODS We conducted a group r and omized controlled trial of 12 intervention and 14 control staff providers and 307 intervention and 291 control patients with type 2 diabetes in a hospital-based internal medicine clinic . Providers were r and omly assigned from May 1998 through April 1999 to have access to the DMA ( intervention ) or not to have access ( control ) . The DMA displays interactive patient-specific clinical data , treatment advice , and links to other web-based care re sources . We compared patients in the intervention and control groups for changes in processes and outcomes of care from the year preceding the study through the year of the study by intention-to-treat analysis . RESULTS The DMA was used for 42 % of scheduled patient visits . The number of HbA(1c ) tests obtained per year increased significantly in the intervention group ( + 0.3 tests/year ) compared with the control group ( -0.04 tests/year , P = 0.008 ) , as did the number of LDL cholesterol tests ( intervention , + 0.2 tests/year ; control , + 0.01 tests/year ; P = 0.02 ) and the proportions of patients undergoing at least one foot examination per year ( intervention , + 9.8 % ; control , -0.7 % ; P = 0.003 ) . Levels of HbA(1c ) decreased by 0.2 in the intervention group and increased by 0.1 in the control group ( P = 0.09 ) ; proportions of patients with LDL cholesterol levels < 130 mg/dl increased by 20.3 % in the intervention group and 10.5 % in the control group ( P = 0.5 ) . CONCLUSIONS Web-based patient-specific decision support has the potential to improve evidence -based parameters of diabetes care BACKGROUND Physician adherence to National Cholesterol Education Program clinical practice guidelines has been poor . METHODS We recruited 68 primary care family and internal medicine practice s ; 66 were r and omly allocated to a study arm ; 5 practice s withdrew , result ing in 29 receiving the Third Adult Treatment Panel ( ATP III ) intervention and 32 receiving an alternative intervention focused on the Seventh Report of the Joint National Committee on the Prevention , Detection , Evaluation , and Treatment of High Blood Pressure ( JNC-7 ) . The ATP III providers received a personal digital assistant providing the Framingham risk scores and ATP III-recommended treatment . All practice s received copies of each clinical practice guideline , an introductory lecture , 1 performance feedback report , and 4 visits for intervention-specific academic detailing . Data were abstract ed at 61 practice s from r and om sample s of medical records of patients treated from June 1 , 2001 , through May 31 , 2003 ( baseline ) , and from May 1 , 2004 , through April 30 , 2006 ( follow-up ) . The proportion screened with subsequent appropriate decision making ( primary outcome ) was calculated . Generalized estimating equations were used to compare results by arm , accounting for clustering of patients within practice s. RESULTS We examined 5057 baseline and 3821 follow-up medical records . The screening rate for lipid levels increased from 43.6 % to 49.0 % ( ATP III practice s ) and from 40.1 % to 50.8 % ( control practice s ) ( net difference , -5.3 % [ P = .22 ] ) . Appropriate management of lipid levels decreased slightly ( 73.4 % to 72.3 % ) in ATP III practice s and more markedly ( 79.7 % to 68.9 % ) in control practice s. The net change in appropriate management favored the intervention ( + 9.7 % ; 95 % confidence interval [ CI ] , 2.8%-16.6 % [ P < .01 ] ) . Appropriate drug prescription within 4 months decreased in both arms ( 38.8 % to 24.8 % in ATP III practice s and 45.3 % to 24.1 % in control practice s ; net change , + 7.2 % [ P = .37 ] ) Overtreatment declined from 6.6 % to 3.9 % in ATP III and rose from 4.2 % to 6.4 % in control practice s ( net change , -4.9 % [ P = .01 ] ) . CONCLUSIONS A multifactor intervention including personal digital assistant-based decision support may improve primary care physician adherence to the ATP III guidelines . Trial Registration clinical trials.gov Identifier : NCT00224848 Background Blood pressure , lipid , and glycemic control are essential for reducing cardiovascular disease ( CVD ) risk . Many health care systems have successfully shifted aspects of chronic disease management , including population -based outreach programs design ed to address CVD risk factor control , to non-physicians . The purpose of this study is to evaluate provision of new information to non-physician outreach teams on need for treatment intensification in patients with increased CVD risk . Methods Cluster r and omized trial ( July 1-December 31 , 2008 ) in Kaiser Permanente Northern California registry of members with diabetes mellitus , prior CVD diagnoses and /or chronic kidney disease who were high-priority for treatment intensification : blood pressure ≥ 140 mmHg systolic , LDL-cholesterol ≥ 130 mg/dl , or hemoglobin A1c ≥ 9 % ; adherent to current medications ; no recent treatment intensification ) . R and omization units were medical center-based outreach teams ( 4 intervention ; 4 control ) . For intervention teams , priority flags for intensification were added monthly to the registry data base with recommended next pharmacotherapeutic steps for each eligible patient . Control teams used the same data base without this information . Outcomes included 3-month rates of treatment intensification and risk factor levels during follow-up . Results Baseline risk factor control rates were high ( 82 - 90 % ) . In eligible patients , the intervention was associated with significantly greater 3-month intensification rates for blood pressure ( 34.1 vs. 30.6 % ) and LDL-cholesterol ( 28.0 vs 22.7 % ) , but not A1c . No effects on risk factors were observed at 3 months or 12 months follow-up . Intervention teams initiated outreach for only 45 - 47 % of high-priority patients , but also for 27 - 30 % of lower-priority patients . Teams reported difficulties adapting prior outreach strategies to incorporate the new information . Conclusions Information enhancement did not improve risk factor control compared to existing outreach strategies at control centers . Familiarity with prior , relatively successful strategies likely reduced uptake of the innovation and its potential for success at intervention centers . Trial registration Clinical Trials.gov Identifier OBJECTIVE The study 's objective was to assess the effects of automated telephone outreach with speech recognition ( ATO-SR ) on diabetes-related testing . RESEARCH DESIGN AND METHODS We identified 1,200 health plan members who were overdue for diabetes-related testing and r and omly allocated 600 to ATO-SR and 600 to usual care ( no intervention ) .  The intervention included three interactive calls encouraging recommended testing . The primary outcome was retinopathy testing , since this was the health plan 's principal goal . Tests for glycemia , hyperlipidemia , and nephropathy were secondary outcomes . RESULTS In total , 232 participants ( 39 % ) verbally responded to the calls . There was no difference between the intervention and the usual care groups in the primary outcome ( adjusted hazard ratio 0.93 [ 95 % CI 0.71–1.22 ] ) and no effect of the intervention on any of the secondary outcomes . CONCLUSIONS Fewer than 40 % of the patients r and omized to ATO-SR interacted verbally with the system . The intervention had no effect on the study 's outcomes Aims We assessed whether a novel programme to evaluate/communicate predicted coronary heart disease ( CHD ) risk could lower patients ' predicted Framingham CHD risk vs. usual care . Methods The Risk Evaluation and Communication Health Outcomes and Utilization Trial was a prospect i ve , controlled , cluster-r and omised trial in nine European countries , among patients at moderate cardiovascular risk . Following baseline assessment s , physicians in the intervention group calculated patients ' predicted CHD risk and were instructed to advise patients according to a risk evaluation/communication programme . Usual care physicians did not calculate patients ' risk and provided usual care only . The primary end-point was Framingham 10-year CHD risk at 6 months with intervention vs. usual care . Results Of 1103 patients across 100 sites , 524 patients receiving intervention , and 461 receiving usual care , were analysed for efficacy . After 6 months , mean predicted risks were 12.5 % with intervention , and 13.7 % with usual care [ odds ratio = 0.896 ; p = 0.001 , adjusted for risk at baseline ( 17.2 % intervention ; 16.9 % usual care ) and other covariates ] . The proportion of patients achieving both blood pressure and low-density lipoprotein cholesterol targets was significantly higher with intervention ( 25.4 % ) than usual care ( 14.1 % ; p < 0.001 ) , and 29.3 % of smokers in the intervention group quit smoking vs. 21.4 % of those receiving usual care ( p = 0.04 ) . Conclusions A physician-implemented CHD risk evaluation/communication programme improved patients ' modifiable risk factor profile , and lowered predicted CHD risk compared with usual care . By combining this strategy with more intensive treatment to reduce residual modifiable risk , we believe that substantial improvements in cardiovascular disease prevention could be achieved in clinical practice Background : Lipid-lowering treatment with statins has proven to be effective in reducing cardiovascular events and mortality . In daily practice , however , adherence to medication is often low and this compromises the therapeutic effect . The aim of this study was to assess the effectiveness of an electronic reminder device ( ERD ) with or without counseling to improve refill adherence and persistence for statin treatment in non-adherent patients . Methods : A multicenter , community pharmacy-based , r and omized controlled trial was conducted in 24 pharmacies in the Netherl and s among patients with pre-baseline refill adherence rates between 50 and 80 % . Eligible patients aged 65 years or older were r and omly assigned to 1 of 3 groups : ( 1 ) counseling with an ERD ( n = 134 ) , ( 2 ) ERD with a written instruction ( n = 131 ) , and a ( 3 ) control group that received the usual treatment ( n = 134 ) . Main outcome measure : refill adherence to statin treatment for a 360-day period after inclusion ( PDC360 ) . Patients with a refill rate ≥80 % were considered adherent . The effect among subgroups was also assessed . Results : There were no relevant differences at baseline . In the counseling with ERD group 54 of 130 eligible patients received the counseling with ERD . In the ERD group , 117 of 123 eligible patients received the ERD . The proportions of adherent patients in the counseling with ERD-group ( 69.2 % ) and in the ERD group ( 72.4 % ) were not higher than in the control group ( 64.8 % ) . Among women using statins for secondary prevention , more patients were adherent in the ERD group ( 86.1 % ) than in the control group ( 52.6 % ) ( p < 0.005 ) . In men using statins for secondary prevention the ERD was found to have no effect . Conclusion : In this r and omized controlled trial , no statistically significant improvement of refill adherence was found if an ERD was used with or without counseling . However , in a subgroup of women using statins for secondary prevention  the ERD did improve adherence significantly Background Efficacious strategies for the primary prevention of coronary heart disease ( CHD ) are underused , and , when used , have low adherence . Existing efforts to improve use and adherence to these efficacious strategies have been so intensive that they are impractical for clinical practice . Methods We conducted a r and omized trial of a CHD prevention intervention ( including a computerized decision aid and automated tailored adherence messages ) at one university general internal medicine practice . After obtaining informed consent and collecting baseline data , we r and omized patients ( men and women age 40 - 79 with no prior history of cardiovascular disease ) to either the intervention or usual care . We then saw them for two additional study visits over 3 months . For intervention participants , we administered the decision aid at the primary study visit ( 1 week after baseline visit ) and then mailed 3 tailored adherence reminders at 2 , 4 , and 6 weeks . We assessed our outcomes ( including the predicted likelihood of angina , myocardial infa rct ion , and CHD death over 10 years ( CHD risk ) and self-reported adherence ) between groups at 3 month follow-up . Data collection occurred from June 2007 through December 2009 . All study procedures were IRB approved . Results We r and omized 160 eligible patients ( 81 intervention ; 79 control ) and followed 96 % to study conclusion . Mean predicted CHD risk at baseline was 11.3 % . The intervention increased self-reported adherence to chosen risk reducing strategies by 25 percentage points ( 95 % CI 8 % to 42 % ) , with the biggest effect for aspirin . It also changed predicted CHD risk by -1.1 % ( 95 % CI -0.16 % to -2 % ) , with a larger effect in a pre-specified subgroup of high risk patients . Conclusion A computerized intervention that involves patients in CHD decision making and supports adherence to effective prevention strategies can improve adherence and reduce predicted CHD risk . Clinical trials registration number Clinical Trials.gov : BACKGROUND Dyslipidemia remains underdiagnosed and undertreated in patients with coronary artery disease . The Computer-based Clinical Decision Support System provides an opportunity t close these gaps . OBJECTIVES To study the impact of computerized intervention on secondary prevention of CAD . METHODS The CDSS was programmed to automatically detect patients with CAD and to evaluate the availability of an up date d  lipoprotein profile  and treatment with lipid-lowering drugs . The program produced automatic computer-generated monitoring and treatment recommendations . Adjusted primary clinics were r and omly assigned to intervention ( n=56 ) or st and ard care arms ( n=56 ) . Reminders were mailed to the primary medical teams in the intervention arm every 4 months updating them with current lipid levels and recommendations for further treatment . Compliance and lipid levels were monitored . The study group comprised all patients with CAD who were alive at least 3 months after hospitalization . RESULTS Follow-up was available for 7448 patients ( median 19.8 months , range 6 - 36 months ) . Overall , 51.7 % of patients were adequately screened , and 55.7 % of patients were compliant with treatment to lower lipid level . In patients with initial low density lipoprotein  > 120 mg/dl , a significant decrease in LDL levels was observed in both arms , but was more pronounced in the intervention arm : 121.9 + /- 34.2 vs. 124.3 + /- 34.6 mg/dl ( P < 0.02 ) . A significantly lower rate of cardiac rehospitalizations was documented in patients who were adequately treated with lipid-lowering drugs , 37 % vs. 40.9 % ( P < 0.001 ) . CONCLUSIONS This initial assessment of our data represent a real-world snapshot where physicians and CAD patients often do not adhere to clinical guidelines , presenting a major obstacle to implementing effective secondary prevention . Our automatic computerized reminders system substantially facilitates adherence to guidelines and supports wide-range implementation OBJECTIVE To assess the effect of a specialist telemedicine intervention for improving diabetes care using the chronic care model ( CCM ) . PARTICIPANTS AND METHODS As part of the CCM , 97 primary care physicians at 6 primary care practice s in Rochester , MN , referred 639 patients to an on-site diabetes educator between July 1 , 2001 , and December 31 , 2003 . On first referral , physicians were central ly r and omized to receive a telemedicine intervention ( specialty advice and evidence -based messages regarding medication management for cardiovascular risk ) or no intervention , keeping outcome assessors and data analysts blinded to group assignment . After each subsequent clinical encounter , endocrinologists review ed an abstract from the patient 's electronic medical record and provided management recommendations and supporting evidence to intervention physicians via e-mail . Control physicians received e-mail with periodic generic information about cardiovascular risk reduction in diabetes . Outcome measures included diabetes care processes ( diabetes test completion ) , outcomes ( metabolic and cardiovascular risk factors , estimated coronary artery disease risk ) , and patient costs ( payer perspective ) . RESULTS During the intervention , 951 ( 70 % ) of the 1361 endocrinology review s detected performance gaps and result ed in a message ; primary care physicians reported using 49 % of messages in patient care . With a mean of 21 months ' follow-up , the intervention , compared with control , did not significantly enhance metabolic outcomes or reduce estimated risk of coronary artery disease ( adjusted mean difference , -1 % ; 95 % confidence interval , -19 % to 17 % ) . The intervention group incurred lower costs ( P=.02 ) but not in diabetes-related costs . CONCLUSION Specialty telemedicine did not significantly enhance the value of CCM in primary care PURPOSE We wanted to determine whether an intervention based on patient activation and a physician decision support tool was more effective than usual care for improving adherence to National Cholesterol Education Program guidelines . METHODS A 1-year cluster r and omized controlled trial was performed using 30 primary care practice s ( 4,105 patients ) in southeastern New Engl and . The main outcome was the percentage of patients screened for hyperlipidemia and treated to their low-density lipoprotein ( LDL ) and non – high-density lipoprotein ( HDL ) cholesterol goals . RESULTS After 1 year of intervention , both r and omized practice groups improved screening ( 89 % screened ) , and 74 % of patients in both groups were at their LDL and non-HDL cholesterol goals ( P < .001 ) . Using intent-to-treat analysis , we found no statistically significant differences between practice groups in screening or percentage of patients who achieved LDL and non-HDL cholesterol goals . Post hoc analysis showed practice s who made high use of the patient activation kiosk were more likely to have patients screened ( odds ratio [ OR ] = 2.54 ; 95 % confidence interval [ CI ] , 1.97–3.27 ) compared with those who made infrequent or no use . Additionally , physicians who made high use of decision support tools were more likely to have their patients at their LDL cholesterol goals ( OR = 1.27 ; 95 % CI , 1.07–1.50 ) and non-HDL goals ( OR = 1.23 ; 95 % CI , 1.04–1.46 ) than low-use or no-use physicians . CONCLUSION This study showed null results with the intent-to-treat analysis regarding the benefits of a patient activation and a decision support tool in improving cholesterol management in primary care practice s. Post hoc analysis showed a potential benefit in practice s that used the e-health tools more frequently in screening and management of dyslipidemia . Further research on how to incorporate and increase adoption of user-friendly , patient-centered e-health tools to improve screening and management of chronic diseases and their risk factors is warranted OBJECTIVE : Suboptimal treatment of hyperlipidemia in patients with coronary artery disease ( CAD ) is well documented . We report the impact of a computer-assisted physician-directed intervention to improve secondary prevention of hyperlipidemia . DESIGN AND SETTING : Two hundred thirty-five patients under the care of 14 primary care physicians in an academically affiliated practice with an electronic health record were enrolled in this proof-of-concept physician-blinded r and omized , controlled trial . Each patient with CAD or risk equivalent above National Cholesterol Education Program-recommended low-density lipoprotein ( LDL ) treatment goal for greater than 6 months was r and omized , stratified by physician and baseline LDL . Physicians received a single e-mail per intervention patient . E-mails were visit independent , provided decision support , and facilitated “ one-click ” order writing . MEASUREMENTS : The primary outcomes were changes in hyperlipidemia prescriptions , time to prescription change , and changes in LDL levels . The time spent using the system was assessed among intervention patients . RESULTS : A greater proportion of intervention patients had prescription changes at 1 month ( 15.3 % vs 2 % , P=.001 ) and 1 year ( 24.6 % vs 17.1 % , P=.14 ) . The median interval to first medication adjustment occurred earlier among intervention patients ( 0 vs 7.1 months , P=.005 ) . Among patients with baseline LDLs > 130 mg/dL , the first postintervention LDLs were substantially lower in the intervention group ( 119.0 vs 138.0 mg/dL , P=.04 ) . Physician processing time was under 60 seconds per e-mail . CONCLUSION : A visit-independent disease management tool result ed in significant improvement in secondary prevention of hyperlipidemia at 1-month postintervention and showed a trend toward improvement at 1 year Background : Diabetes mellitus is a complex disease with serious complications . Electronic decision support , providing information that is shared and discussed by both patient and physician , encourages timely interventions and may improve the management of this chronic disease . However , it has rarely been tested in community-based primary care . Methods : In this pragmatic r and omized trial , we r and omly assigned adult primary care patients with type 2 diabetes to receive the intervention or usual care .  The intervention involved shared access by the primary care provider and the patient to a Web-based , colour-coded diabetes tracker , which provided sequential monitoring values for 13 diabetes risk factors , their respective targets and brief , prioritized messages of advice . The primary outcome measure was a process composite score . Secondary outcomes included clinical composite scores , quality of life , continuity of care and usability . The outcome assessors were blinded to each patient ’s intervention status . Results : We recruited sequentially 46 primary care providers and then 511 of their patients ( mean age 60.7 [ st and ard deviation 12.5 ] years ) . Mean follow-up was 5.9 months . The process composite score was significantly better for patients in the intervention group than for control patients ( difference 1.27 , 95 % confidence interval [ CI ] 0.79–1.75 , p < 0.001 ) ; 61.7 % ( 156/253 ) of patients in the intervention group , compared with 42.6 % ( 110/258 ) of control patients , showed improvement ( difference 19.1 % , p < 0.001 ) . The clinical composite score also had significantly more variables with improvement for the intervention group ( 0.59 , 95 % CI 0.09–1.10 , p = 0.02 ) , including significantly greater declines in blood pressure ( −3.95 mm Hg systolic and −2.38 mm Hg diastolic ) and glycated hemoglobin ( −0.2 % ) . Patients in the intervention group reported greater satisfaction with their diabetes care . Interpretation : A shared electronic decision-support system to support the primary care of diabetes improved the process of care and some clinical markers of the quality of diabetes care . ( Clinical Trials.gov trial register no. NCT00813085 . A total of 175 patients with Types 1 and 2 diabetes in primary care and university hospital outpatient departments were r and omized into a study group ( n = 101 ) or usual care ( n = 74 ) . The study group used an e-health application with a diabetes management system and a home care link . Usual care did not involve e-health , i.e. the patients made regular general practitioner visits about every three months . After 12 months HbA1c decreased significantly in both groups of patients . The differences were small , but HbA1c was significantly lower in the study group than the controls . Diastolic blood pressure , fasting plasma glucose , serum total cholesterol , serum LDL-cholesterol and serum triglycerides were significantly lower in the study than in the control group . This was achieved with fewer visits by study patients to doctors and nurses . Use of e-health in diabetes care for 12 months was able to provide equivalent diabetic control to usual care , and improved cardiovascular risk factors BACKGROUND The emergence of the World Wide Web in the last decade has made it feasible for the Internet to be a vehicle for chronic disease management . METHODS A r and omized controlled trial ( n = 62 ) testing the effects of a 6-month web-based intervention plus usual care , compared with usual care alone , among adults 60 years of age and older with diabetes . The outcomes were hemoglobin A1c ( HbA1c ) , blood pressure , weight , cholesterol , and high-density lipoprotein ( HDL ) levels . RESULTS A multivariate analysis of covariance controlling for all baseline outcome variables , age , gender , and number of years with diabetes showed significant ( P = 0.001 ) reductions in HbA1c , weight , and cholesterol level and significant improvement in HDL levels in the intervention versus the control group . CONCLUSIONS Findings show a web-based intervention was effective in improving HbA1c , weight , cholesterol , and HDL levels at a 6-month follow-up . Future research is needed to investigate the long-term effectiveness of web-based interventions BACKGROUND Web-based personal health records ( PHRs ) have been advocated as a means to improve type 2 diabetes mellitus ( DM ) care . However , few Web-based systems are linked directly to the electronic medical record ( EMR ) used by physicians . METHODS We r and omized 11 primary care practice s. Intervention practice s received access to a DM-specific PHR that imported clinical and medications data , provided patient-tailored decision support , and enabled the patient to author a " Diabetes Care Plan " for electronic su bmi ssion to their physician prior to upcoming appointments . Active control practice s received a PHR to up date and su bmi t family history and health maintenance information . All patients attending these practice s were encouraged to sign up for online access . RESULTS We enrolled 244 patients with DM ( 37 % of the eligible population with registered online access , 4 % of the overall population of patients with DM ) . Study participants were younger ( mean age , 56.1 years vs 60.3 years ; P < .001 ) and lived in higher-income neighborhoods ( median income , $ 53,784 vs $ 49,713 ; P < .001 ) but had similar baseline glycemic control compared with non participants . More patients in the intervention arm had their DM treatment regimens adjusted ( 53 % vs 15 % ; P < .001 ) compared with active controls . However , there were no significant differences in risk factor control between study arms after 1 year ( P = .53 ) . CONCLUSIONS Previsit use of online PHR linked to the EMR increased rates of DM-related medication adjustment . Low rates of online patient account registration and good baseline control among participants limited the intervention 's impact on overall risk factor control . TRIAL REGISTRATION clinical trials.gov Identifier : NCT00251875 BACKGROUND Despite increasing evidence that treating dyslipidemia reduces cardiovascular events , many patients do not achieve recommended lipid targets . METHODS To determine whether showing physicians and patients the patient 's calculated coronary risk can improve the effectiveness of treating dyslipidemia in a primary care setting , patients were  r and omized  to receive usual care or ongoing feedback regarding their calculated coronary risk and the change in this risk after lifestyle changes , pharmacotherapy , or both to treat dyslipidemia . Outcomes , based on intention-to-treat analysis , included changes in blood lipid levels , coronary risk , and the frequency of reaching lipid targets . RESULTS Two hundred thirty primary care physicians enrolled 3,053 patients . After 12 months of follow-up , 2,687 patients ( 88.0 % ) remained in the study . After adjustment for baseline lipid values , significantly greater mean reductions in low-density lipoprotein cholesterol levels and the total cholesterol to high-density lipoprotein cholesterol ratio were observed in patients receiving risk profiles ( 51.2 mg/dL [ to convert to millimoles per liter , multiply by 0.0259 ] and 1.5 , respectively ) vs usual care ( 48.0 mg/dL and 1.3 , respectively ) , but the differences were small ( -3.3 mg/dL ; 95 % confidence interval [ CI ] , -5.4 to -1.1 mg/dL ; and -0.1 ; 95 % CI , -0.2 to -0.1 , respectively ) . Patients in the risk profile group were also more likely to reach lipid targets ( odds ratio , 1.26 ; 95 % CI , 1.07 to 1.48 ) . A significant dose-response effect was also noted when the impact of the risk profile was stronger in those with worse profiles . CONCLUSIONS Discussing coronary risk with the patient is associated with a small but measurable improvement in the efficacy of lipid therapy . The value of incorporating risk assessment in preventive care should be further evaluated BACKGROUND : Electronic information systems have been proposed as one means to reduce medical errors of commission ( doing the wrong thing ) and omission ( not providing indicated care ) . OBJECTIVE : To assess the effects of computer-based cardiac care suggestions . DESIGN : A r and omized , controlled trial targeting primary care physicians and pharmacists . SUBJECTS : A total of 706 out patients with heart failure and /or ischemic heart disease . INTERVENTIONS : Evidence -based cardiac care suggestions , approved by a panel of local cardiologists and general internists , were displayed to physicians and pharmacists as they cared for enrolled patients . MEASUREMENTS : Adherence with the care suggestions , generic and condition-specific quality of life , acute exacerbations of their cardiac disease , medication compliance , health care costs , satisfaction with care , and physicians ’ attitudes toward guidelines . RESULTS : Subjects were followed for 1 year during which they made 3,419 primary care visits and were eligible for 2,609 separate cardiac care suggestions . The intervention had no effect on physicians ’ adherence to the care suggestions ( 23 % for intervention patients vs 22 % for controls ) . There were no intervention-control differences in quality of life , medication compliance , health care utilization , costs , or satisfaction with care . Physicians viewed guidelines as providing helpful information but constraining their practice and not helpful in making decisions for individual patients . CONCLUSIONS : Care suggestions generated by a sophisticated electronic medical record system failed to improve adherence to accepted practice guidelines or outcomes for patients with heart disease . Future studies must weigh the benefits and costs of different ( and perhaps more Draconian ) methods of affecting clinician behavior Discrepancies between clinical guidelines and clinical practice call for practical implementation strategies . This study evaluates the implementation of clinical guidelines for hypertension in general practice with a specific computer-based clinical decision support system ( CDSS ) as part of the intervention . We carried out a r and omized study of general practice health centres in Sør- and Nord-Trøndelag counties in Norway ( population 380000 ) . A total of 17 health centres were included , with 24 doctors and 984 patients in the intervention group . Data from 887 patients was used in the analyses . There were 12 health centres with 29 doctors and 1255 patients in the control group . Data from 1127 control patients was used in the analyses . The main outcome measures were doctor 's behaviour , measured by adherence to registration of recommended variables in the Norwegian clinical guidelines for hypertension . The aim of the intervention was to lower the fractions of patients without registration s. However , there were no clinical ly significant differences between the intervention group and the control group for fractions of patients without registration of blood pressure ( intervention group 14.3 % , control group 14.2 % ) or serum cholesterol ( 62.3 % vs. 56.8 % ) during 12 months , nor , during 18 months , for fractions of patients without a registration of cigarette smoking ( 82.9 % vs. 87.1 % ) , cardiovascular inheritance ( 79.5 % vs. 73.4 % ) and body mass index ( 81.5 % vs. 89.2 % ) . One or several variables necessary for calculation of risk score for myocardial infa rct ion were missing in 91.7 % of patients in the intervention group and 91.9 % of patients in the control group . Large centre variations were shown for all variables . Implementation of clinical guidelines in the treatment of hypertensive patients in general practice , by means of a CDSS and several procedures for implementation did not result in clinical ly significant changes in the doctors ' behaviour . Of importance are both the lack of user-friendliness of the specific CDSS and problems in performing time-consuming multidimensional procedures PURPOSE We wanted to assess the impact of an electronic health record – based diabetes clinical decision support system on control of hemoglobin A1c ( glycated hemoglobin ) , blood pressure , and low-density lipoprotein ( LDL ) cholesterol levels in adults with diabetes . METHODS We conducted a clinic-r and omized trial conducted from October 2006 to May 2007 in Minnesota . Included were 11 clinics with 41 consenting primary care physicians and the physicians ’ 2,556 patients with diabetes . Patients were r and omized either to receive or not to receive an electronic health record (EHR)–based clinical decision support system design ed to improve care for those patients whose hemoglobin A1c , blood pressure , or LDL cholesterol levels were higher than goal at any office visit . Analysis used general and generalized linear mixed models with repeated time measurements to accommo date the nested data structure . RESULTS The intervention group physicians used the EHR-based decision support system at 62.6 % of all office visits made by adults with diabetes . The intervention group diabetes patients had significantly better hemoglobin A1c ( intervention effect −0.26 % ; 95 % confidence interval , −0.06 % to −0.47 % ; P=.01 ) , and better maintenance of systolic blood pressure control ( 80.2 % vs 75.1 % , P=.03 ) and borderline better maintenance of diastolic blood pressure control ( 85.6 % vs 81.7 % , P = .07 ) , but not improved low-density lipoprotein cholesterol levels ( P = .62 ) than patients of physicians r and omized to the control arm of the study . Among intervention group physicians , 94 % were satisfied or very satisfied with the intervention , and moderate use of the support system persisted for more than 1 year after feedback and incentives to encourage its use were discontinued . CONCLUSIONS EHR-based diabetes clinical decision support  significantly improved glucose control and some aspects of blood pressure control in adults with type 2 diabetes
target: 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
background: BACKGROUND Large gaps in lipid treatment and medication adherence persist in high-risk out patients in the United States .
  Health information technology ( HIT ) is being applied to close quality gaps in chronic illness care , but its utility for lipid management has not been widely studied .
  OBJECTIVE To perform a qualitative review of the impact of HIT interventions on lipid management processes of care ( screening or testing ; drug initiation , titration or adherence ; or referrals ) or clinical outcomes ( percent at low density lipoprotein cholesterol goal ; absolute lipid levels ; absolute risk scores ; or cardiac hospitalizations ) in out patients with coronary heart disease or at increased risk .