Barriers and enablers in the implementation of a quality improvement program for acute coronary syndromes in hospitals: a qualitative analysis using the consolidated framework for implementation research.

BACKGROUND: Ischemic heart disease causes a high disease burden globally and numerous challenges in treatment, particularly in developing countries such as China. The National Chest Pain Centers Program (NCPCP) was launched in China as the first nationwide, hospital-based, comprehensive, continuous quality improvement (QI) program to improve early diagnosis and standardized treatment of acute coronary syndromes (ACS) and improve patients' clinical outcomes. With implementation and scaling up of the NCPCP, we investigated barriers and enablers in the NCPCP implementation process and provided examples and ideas for overcoming such barriers. METHODS: We conducted a nationally representative survey in six cities in China. A total of 165 key informant interviewees, including directors and coordinators of chest pain centers (CPCs) in 90 hospitals, participated in semi-structured interviews. The interviews were transcribed verbatim, translated into English, and analyzed in NVivo 12.0. We used the Consolidated Framework for Implementation Research (CFIR) to guide the codes and themes. RESULTS: Barriers to NCPCP implementation mainly arose from nine CFIR constructs. Barriers included the complexity of the intervention (complexity), low flexibility of requirements (adaptability), a lack of recognition of chest pain in patients with ACS (patient needs and resources), relatively low government support (external policies and incentives), staff mobility in the emergency department and other related departments (structural characteristics), resistance from related departments (networks and communications), overwhelming tasks for CPC coordinators (compatibility), lack of available resources for regular CPC operations (available resources), and fidelity to and sustainability of intervention implementation (executing). Enablers of intervention implementation were inner motivation for change (intervention sources), evidence strength and quality of intervention, relatively low cost (cost), individual knowledge and beliefs regarding the intervention, pressure from other hospitals (peer pressure), incentives and rewards of the intervention, and involvement of hospital leaders (leadership engagement, engaging). CONCLUSION: Simplifying the intervention to adapt routine tasks for medical staff and optimizing operational mechanisms between the prehospital emergency system and in-hospital treatment system with government support, as well as enhancing emergency awareness among patients with chest pain are critically important to NCPCP implementation. Clarifying and addressing these barriers is key to designing a sustainable QI program for acute cardiovascular diseases in China and similar contexts across developing countries worldwide. TRIAL REGISTRATION: This study was registered in the Chinese Clinical Trial Registry ( ChiCTR 2100043319 ), registered 10 February 2021.

Factors Associated With Medical Staff's Engagement and Perception of a Quality Improvement Program for Acute Coronary Syndromes in Hospitals: A Nationally Representative Mixed-Methods Study in China.

Background Medical staff represent critical stakeholders in the process of implementing a quality improvement (QI) program. Few studies, however, have examined factors that influence medical staff engagement and perception regarding QI programs. Methods and Results We conducted a nationally representative survey of a QI program in 6 cities in China. Quantitative data were analyzed using multilevel mixed-effects linear regression models, and qualitative data were analyzed using the framework method. The engagement of medical staff was significantly related to knowledge scores regarding the specific content of chest pain center accreditation (ß=0.42; 95% CI, 0.27-0.57). Higher scores for inner motivation (odds ratio [OR], 1.79; 95% CI, 1.18-2.72) and resource support (OR, 1.52; 95% CI, 1.02-2.24) and lower scores for implementation barriers (OR, 0.81; 95% CI, 0.67-0.98) were associated with improved treatment behaviors among medical staff. Resource support (OR, 4.52; 95% CI, 2.99-6.84) and lower complexity (OR, 0.81; 95% CI, 0.65-1.00) had positive effects on medical staff satisfaction, and respondents with improved treatment behaviors were more satisfied with the QI program. Similar findings were found for factors that influenced medical staff's assessment of QI program sustainability. The qualitative analysis further confirmed and supplemented the findings of quantitative analysis. Conclusions Clarifying and addressing factors associated with medical staff's engagement and perception of QI programs will allow further improvements in quality of care for patients with acute coronary syndrome. These findings may also be applicable to other QI programs in China and other low- and middle-income countries. Registration URL: https://www.chictr.org.cn/; Unique identifier: Chi-CTR2100043319.

Evaluation of Between-County Disparities in Premature Mortality Due to Stroke in the US.

Importance: Identifying the factors associated with premature stroke mortality and measuring between-county disparities may provide insight into how to reduce variations and achieve more equitable health outcomes. Objective: To examine the between-county disparities in premature stroke mortality in the US, investigate county-level factors associated with mortality, and describe differences in mortality disparities by place of death and stroke subtype. Design, Setting, and Participants: This retrospective cross-sectional study linked the mortality and demographic data of US counties from the Centers for Disease Control and Prevention WONDER database to county-level characteristics from multiple databases. The outcome measure was county-level age-adjusted stroke mortality among adults aged 25 to 64 years in 2637 US counties from 1999 to 2018. This study was conducted from April 1, 2019, to October 31, 2020. Generalized linear Poisson regressions were fitted to investigate 4 sets of factors associated with county-level mortality: demographic composition, socioeconomic status, health care and environmental features, and population health. The Theil index score was calculated to assess the mortality disparities. Main Outcomes and Measures: Stroke mortality was measured as the number of deaths attributed to stroke in the data set. Out-of-stroke-unit death was defined as any death occurring in outpatient or emergency departments or at the pretransport location. Five stroke subtypes were included in the analysis. Results: Although mortality did not change substantially from 1999 to 2018 (from 12.62 to 11.81 per 100 000 population), the proportion of deaths occurring out of the stroke unit increased from 23.56% (4328 of 18 369) to 34.57% (6978 of 20 188). A large percentage of stroke of an uncertain cause was reported, with most deaths (55.20%) occurring out of the stroke unit. In the county with the highest premature stroke mortality, the incidence was 20.78 times as high as that in the county with the lowest mortality (65.04 vs 3.13 deaths per 100 000 population). The highest between-county disparities were found for stroke of uncertain cause. For out-of-stroke-unit death, county-level mortality was largely associated with demographic composition (31.6%) and health care and environmental features (25.8%). For in-hospital death, 29.8% of county-level mortality was associated with population health and 28.7% was associated with demographic composition. Conclusions and Relevance: These findings suggest that strategies addressing specific factors that underlie the mortality disparities among US counties, especially for out-of-stroke-unit death and stroke of uncertain cause, may be useful when tailored to the county-level context before implementing interventions for the neediest counties.

Socioeconomic Inequalities in Premature Cancer Mortality Among U.S. Counties During 1999 to 2018.

BACKGROUND: This study investigated socioeconomic inequalities in premature cancer mortality by cancer types, and evaluated the associations between socioeconomic status (SES) and premature cancer mortality by cancer types. METHODS: Using multiple databases, cancer mortality was linked to SES and other county characteristics. The outcome measure was cancer mortality among adults ages 25-64 years in 3,028 U.S. counties, from 1999 to 2018. Socioeconomic inequalities in mortality were calculated as a concentration index (CI) by income (annual median household income), educational attainment (% with bachelor's degree or higher), and unemployment rate. A hierarchical linear mixed model and dominance analyses were used to investigate SES associated with county-level mortality. The analyses were also conducted by cancer types. RESULTS: CIs of SES factors varied by cancer types. Low-SES counties showed increasing trends in mortality, while high-SES counties showed decreasing trends. Socioeconomic inequalities in mortality among high-SES counties were larger than those among low-SES counties. SES explained 25.73% of the mortality. County-level cancer mortality was associated with income, educational attainment, and unemployment rate, at -0.24 [95% (CI): -0.36 to -0.12], -0.68 (95% CI: -0.87 to -0.50), and 1.50 (95% CI: 0.92-2.07) deaths per 100,000 population with one-unit SES factors increase, respectively, after controlling for health care environment and population health. CONCLUSIONS: SES acts as a key driver of premature cancer mortality, and socioeconomic inequalities differ by cancer types. IMPACT: Focused efforts that target socioeconomic drivers of mortalities and inequalities are warranted for designing cancer-prevention implementation strategies and control programs and policies for socioeconomically underprivileged groups.

Disparities in Premature Cardiac Death Among US Counties From 1999-2017: Temporal Trends and Key Drivers.

Background Disparities in premature cardiac death (PCD) might stagnate the progress toward the reduction of PCD in the United States and worldwide. We estimated disparities across US counties in PCD rates and investigated county-level factors related to the disparities. Methods and Results We used US mortality data for cause-of-death and demographic data from death certificates and county-level characteristics data from multiple databases. PCD was defined as any death that occurred at an age between 35 and 74 years with an underlying cause of death caused by cardiac disease based on International Classification of Diseases, Tenth Revision (ICD-10), codes. Of the 1 598 173 PCDs that occurred during 1999-2017, 60.9% were out of hospital. Although the PCD rates declined from 1999-2017, the proportion of out-of-hospital PCDs among all cardiac deaths increased from 58.3% to 61.5%. The geographic disparities in PCD rates across counties widened from 1999 (Theil index=0.10) to 2017 (Theil index=0.23), and within-state differences accounted for the majority of disparities (57.4% in 2017). The disparities in out-of-hospital PCD rates (and in-hospital PCD rates) associated with demographic composition were 36.51% (and 37.51%), socioeconomic features were 18.64% (and 18.36%), healthcare environment were 18.64% (and 13.90%), and population health status were 23.73% (and 30.23%). Conclusions Disparities in PCD rates exist across US counties, which may be related to the decelerated trend of decline in the rates among middle-aged adults. The slower declines in out-of-hospital rates warrants more precision targeting and sustained efforts to ensure progress at better levels of health (with lower PCD rates) against PCD.

Factors Associated With County-Level Variation in Premature Mortality Due to Noncommunicable Chronic Disease in the United States, 1999-2017.

Importance: Progress against premature death due to noncommunicable chronic disease (NCD) has stagnated. In the United States, county-level variation in NCD premature mortality has widened, which has impeded progress toward mortality reduction for the World Health Organization (WHO) 25 × 25 target. Objectives: To estimate variations in county-level NCD premature mortality, to investigate factors associated with mortality, and to present the progress toward achieving the WHO 25 × 25 target by analyzing the trends in mortality. Design, Setting, and Participants: This cross-sectional study focused on NCD premature mortality and its factors from 3109 counties using US mortality data for cause of death from the Centers for Disease Control and Prevention WONDER databases and county-level characteristics data from multiple databases. Data were collected from January 1, 1999, through December 31, 2017, and analyzed from April 1 through October 28, 2019. Exposures: County-level factors, including demographic composition, socioeconomic features, health care environment, and population health status. Main Outcomes and Measures: Variations in county-level, age-adjusted NCD mortality in the US residents aged 25 to 64 years and associations between mortality and the 4 sets of county-level factors. Results: A total of 6 794 434 deaths due to NCD were recorded during the study period (50.58% women; 16.49% aged 65 years or older). Mortality decreased by 4.30 (95% CI, -4.54 to -4.08) deaths per 100 000 person-years annually from 1999 to 2010 (P < .001) and decreased annually at a rate of 0.90 (95% CI, -1.13 to -0.73) deaths per 100 000 person-years annually from 2010 to 2017 (P < .001). Mortality in the county with the highest mortality was 10.40 times as high as that in the county with the lowest mortality (615.40 vs 59.20 per 100 000 population) in 2017. Geographic inequality was decomposed by between-state and within-state differences, and within-state differences accounted for most inequality (57.10% in 2017). County-level factors were associated with 71.83% variation in NCD mortality. Association with intercounty mortality was 19.51% for demographic features, 23.34% for socioeconomic composition, 16.40% for health care environment, and 40.75% for health-status characteristics. Conclusions and Relevance: Given the stagnated trend of decline and increasing variations in NCD premature mortality, these findings suggest that the WHO 25 × 25 target appears to be unattainable, which may be related to broad failure by United Nations members to follow through on commitments of reducing socioeconomic inequalities. The increasing inequalities in mortality are alarming and warrant expanded multisectoral efforts to ameliorate socioeconomic disparities.

Implementing a STEMI system of care in urban Bangalore: Rationale and Study Design for heart rescue India.

BACKGROUND: A system of care designed to measure and improve process measures such as symptom recognition, emergency response, and hospital care has the potential to reduce mortality and improve quality of life for patients with ST-elevation myocardial infarction (STEMI). OBJECTIVE: To document the methodology and rationale for the implementation and impact measurement of the Heart Rescue India project on STEMI morbidity and mortality in Bangalore, India. STUDY DESIGN: A hub and spoke STEMI system of care comprised of two interventional, hub hospitals and five spoke hospitals will build and deploy a dedicated emergency response and transport system covering a 10 Km. radius area of Bangalore, India. High risk patients will receive a dedicated emergency response number to call for symptoms of heart attack. A dedicated operations center will use geo-tracking strategies to optimize response times including first responder motor scooter transport, equipped with ECG machines to transmit ECG's for immediate interpretation and optimal triage. At the same time, a dedicated ambulance will be deployed for transport of appropriate STEMI patients to a hub hospital while non-STEMI patients will be transported to spoke hospitals. To enhance patient recognition and initiation of therapy, school children will be trained in basic CPR and signs and symptom of chest pain. Hub hospitals will refine their emergency department and cardiac catheterization laboratory protocols using continuous quality improvement techniques to minimize treatment delays. Prior to hospital discharge, secondary prevention measures will be initiated to enhance long-term patient outcomes.

The 2017 International Joint Working Group recommendations of the Indian College of Cardiology, the Academic College of Emergency Experts, and INDUSEM on the management of low-risk chest pain in emergency departments across India.

There have been no published recommendations for the management of low-risk chest pain in emergency departments (EDs) across India. This is despite the fact that chest pain continues to be one of the most common presenting complaints in EDs. Risk stratification of patients utilizing an accelerated diagnostic protocol has been shown to decrease hospitalizations by approximately 40% with a low 30-day risk of major adverse cardiac events. The experts group of academic leaders from the Indian College of Cardiology and Academic College of Emergency Experts in India partnered with academic experts in emergency medicine and cardiology from leading institutions in the UK and USA collaborated to study the scientific evidence and make recommendations to guide emergency physicians working in EDs across India.

Quality Improvement in Acute Ischemic Stroke Care in Taiwan: The Breakthrough Collaborative in Stroke.

In the management of acute ischemic stroke, guideline adherence is often suboptimal, particularly for intravenous thrombolysis or anticoagulation for atrial fibrillation. We sought to improve stroke care quality via a collaborative model, the Breakthrough Series (BTS)-Stroke activity, in a nationwide, multi-center activity in Taiwan. A BTS Collaborative, a short-term learning system for a large number of multidisciplinary teams from hospitals, was applied to enhance acute ischemic stroke care quality. Twenty-four hospitals participated in and submitted data for this stroke quality improvement campaign in 2010-2011. Totally, 14 stroke quality measures, adopted from the Get With The Guideline (GWTG)-Stroke program, were used to evaluate the performance and outcome of the ischemic stroke patients. Data for a one-year period from 24 hospitals with 13,181 acute ischemic stroke patients were analyzed. In 14 hospitals, most stroke quality measures improved significantly during the BTS-activity compared with a pre-BTS-Stroke activity period (2006-08). The rate of intravenous thrombolysis increased from 1.2% to 4.6%, door-to-needle time ≤60 minutes improved from 7.1% to 50.8%, symptomatic hemorrhage after intravenous thrombolysis decreased from 11.0% to 5.6%, and anticoagulation therapy for atrial fibrillation increased from 32.1% to 64.1%. The yearly composite measures of five stroke quality measures revealed significant improvements from 2006 to 2011 (75% to 86.3%, p<0.001). The quarterly composite measures also improved significantly during the BTS-Stroke activity. In conclusion, a BTS collaborative model is associated with improved guideline adherence for patients with acute ischemic stroke. GWTG-Stroke recommendations can be successfully applied in countries besides the United States.

Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool.

BACKGROUND: Cardiovascular disease (CVD) is 1 of the leading causes of death, years of life lost, and disability-adjusted years of life lost worldwide. CVD prevention for children and teens is needed, as CVD risk factors and behaviors beginning in youth contribute to CVD development. In 2012, the National Heart, Lung, and Blood Institute released their "Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents" for clinicians, describing CVD risk factors they should address with patients at primary care preventative visits. However, uptake of new guidelines is slow. Clinical decision support (CDS) tools can improve guideline uptake. In this paper, we describe our process of testing and adapting a CDS tool to help clinicians evaluate patient risk, recommend behaviors to prevent development of risk, and complete complex calculations to determine appropriate interventions as recommended by the guidelines, using a user-centered design approach. OBJECTIVE: The objective of the study was to assess the usability of a pediatric CVD risk factor tool by clinicians. METHODS: The tool was tested using one-on-one in-person testing and a "think aloud" approach with 5 clinicians and by using the tool in clinical practice along with formal usability metrics with 14 pediatricians. Thematic analysis of the data from the in-person testing and clinical practice testing identified suggestions for change in 3 major areas: user experience, content refinement, and technical deployment. Descriptive statistical techniques were employed to summarize users' overall experience with the tool. RESULTS: Data from testers showed that general reactions toward the CDS tool were positive. Clinical practice testers suggested revisions to make the application more user-friendly, especially for clinicians using the application on the iPhone, and called for refining recommendations to be more succinct and better tailored to the patient. Tester feedback was incorporated into the design when feasible, including streamlining data entry during clinical visits, reducing the volume of results displayed, and highlighting critical results. CONCLUSIONS: This study found support for the usability of our pediatric CVD risk factor tool. Insights shared about this tool may be applicable for designing other mHealth applications and CDS tools. The usability of decision support tools in clinical practice depends critically on receiving (ie, through an accessible device) and adapting the tool to meet the needs of clinicians in the practice setting.

Impact of a Pilot Intervention to Increase Physician-Patient Communication About Stroke Risk in Indonesia.

In Indonesia, where stroke is the leading cause of death, we designed and tested a brief intervention to increase physician-patient conversations about stroke prevention in community health centers. The pilot study used a quasi-experimental design involving repeated cross-sectional data collection over 15 weeks to compare pre- and during-intervention differences within four centers. We conducted exit interviews with 675 patients immediately following their medical appointments to assess whether physicians discussed stroke risks and provided recommendations to modify their risk behaviors. From pre-intervention to during intervention, patients reported more frequent physician recommendations to modify their stroke risk behaviors. We also conducted interviews with eight providers (physicians and nurses) after the intervention to get their feedback on its implementation. This study demonstrated that a brief intervention to motivate physician-patient conversations about stroke prevention may improve these conversations in community health centers. While interventions to reduce risk hold considerable promise for reducing stroke burden, barriers to physician-patient conversations identified through this study need to be addressed.

Adoption of cardiovascular risk reduction guidelines: a cluster-randomized trial.

BACKGROUND AND OBJECTIVES: Cardiovascular disease (CVD) and underlying atherosclerosis begin in childhood and are related to CVD risk factors. This study evaluates tools and strategies to enhance adoption of new CVD risk reduction guidelines for children. METHODS: Thirty-two practices, recruited and supported by 2 primary care research networks, were cluster randomized to a multifaceted controlled intervention. Practices were compared with guideline-based individual and composite measures for BMI, blood pressure (BP), and tobacco. Composite measures were constructed by summing the numerators and denominators of individual measures. Preintervention and postintervention measures were assessed by medical record review of children ages 3 to 11 years. Changes in measures (pre-post and intervention versus control) were compared. RESULTS: The intervention group BP composite improved by 29.5%, increasing from 49.7% to 79.2%, compared with the control group (49.5% to 49.6%; P < .001). Intervention group BP interpretation improved by 61.1% (from 0.2% to 61.3%), compared with the control group (0.4% to 0.6%; P < .001). The assessment of tobacco exposure or use for 5- to 11-year-olds in the intervention group improved by 30.3% (from 3.4% to 49.1%) versus the control group (0.6% to 21.4%) (P = .042). No significant change was seen in the BMI or tobacco composites measures. The overall composite of 9 measures improved by 13.4% (from 48.2% to 69.8%) for the intervention group versus the control group (47.4% to 55.2%) (P = .01). CONCLUSIONS: Significant improvement was demonstrated in the overall composite measure, the composite measure of BP, and tobacco assessment and advice for children aged 5 to 11 years.

Implementation of the NHLBI integrated guidelines for cardiovascular health and risk reduction in children and adolescents: rationale and study design for young hearts, strong starts, a cluster-randomized trial targeting body mass index, blood pressure, and tobacco.

BACKGROUND: Cardiovascular disease (CVD) and the underlying atherosclerosis begin in childhood, and their presence and intensity are related to known cardiovascular disease risk factors. Attention to risk factor control in childhood has the potential to reduce subsequent risk of CVD. OBJECTIVE: The Young Hearts Strong Starts Study was designed to test strategies facilitating adoption of the National, Heart, Lung and Blood Institute supported Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. This study compares guideline-based quality measures for body mass index, blood pressure, and tobacco using two strategies: a multifaceted, practice-directed intervention versus standard dissemination. STUDY DESIGN: Two primary care research networks recruited practices and provided support for the intervention and outcome evaluations. Individual practices were randomly assigned to the intervention or control groups using a cluster randomized design based on network affiliation, number of clinicians per practice, urban versus nonurban location, and practice type. The units of observation are individual children because measure adherence is abstracted from individual patient's medical records. The units of randomization are physician practices. This results in a multilevel design in which patients are nested within practices. The intervention practices received toolkits and supported guideline implementation including academic detailing, an ongoing e-learning group. This project is aligned with the American Board of Pediatrics Maintenance of Certification requirements including monthly physician self-abstraction, webinars, and other elements of the trial. SIGNIFICANCE: This trial will provide an opportunity to demonstrate tools and strategies to enhance CV prevention in children by guideline-based interventions.

Death and rehospitalization after transient ischemic attack or acute ischemic stroke: one-year outcomes from the adherence evaluation of acute ischemic stroke-longitudinal registry.

BACKGROUND: Longitudinal data directly comparing the rates of death and rehospitalization of patients discharged after transient ischemic attack (TIA) versus acute ischemic stroke (AIS) are lacking. METHODS: Data were analyzed from 2802 patients (TIA n = 552; AIS n = 2250) admitted to 100 U.S. hospitals participating in the Get With The Guidelines-Stroke and the Adherence Evaluation of Acute Ischemic Stroke-Longitudinal registry. The primary composite outcome was the adjusted rate of all-cause death and rehospitalization over 1 year after discharge. Four additional single or combined outcomes were explored. RESULTS: Compared with AIS, TIA patients were older (median 69 v 66 years; P = .007) and more likely female (53.3% v 44.2%; P < .0001). Secondary prevention medication use after hospital discharge was less intensive after TIA, with underuse for both conditions. All-cause death or rehospitalization at 1 year was similar for TIA and AIS patients (37.7% v 34.6%; P = .271); the frequency for TIA patients was higher after covariate adjustment (hazard ratio [HR] 1.19; 95% confidence interval [CI] 1.01-1.41). One-year all-cause mortality was similar among those with TIA compared to AIS patients (3.8% v 5.7%; P = .071; adjusted HR 0.86; 95% CI 0.52-1.42). All-cause rehospitalizations were higher for TIA compared to AIS patients (36.4% v 33.0%; P = .186; adjusted HR 1.20; 95% CI 1.02-1.42), but similar for stroke rehospitalizations (10.1% v 7.4%; P = .037; adjusted HR 1.38, 95% CI 0.997-1.92). CONCLUSIONS: Patients with TIA have similar or worse 12-month postdischarge risk of death or rehospitalization as compared with those with AIS. Outcomes after TIA and AIS might be improved with better adherence to secondary preventive guidelines.

System-related interventions to reduce diagnostic errors: a narrative review.

BACKGROUND: Diagnostic errors (missed, delayed or wrong diagnosis) have recently gained attention and are associated with significant preventable morbidity and mortality. The authors reviewed the recent literature and identified interventions that address system-related factors that contribute directly to diagnostic errors. METHODS: The authors conducted a comprehensive search using multiple search strategies. First, they performed a PubMed search to identify articles exclusively related to diagnostic error or delay published in English between 2000 and 2009. They then sought papers from references in the initial dataset, searches of additional databases, and subject matter experts. Articles were included if they formally evaluated an intervention to prevent or reduce diagnostic error; however, papers were also included if interventions were suggested and not tested to inform the state of the science on the subject. Interventions were characterised according to the step in the diagnostic process they targeted: patient-provider encounter; performance and interpretation of diagnostic tests; follow-up and tracking of diagnostic information; subspecialty and referral-related issues; and patient-specific care-seeking and adherence processes. RESULTS: 43 articles were identified for full review, of which six reported tested interventions and 37 contained suggestions for possible interventions. Empirical studies, although somewhat positive, were non-experimental or quasi-experimental and included a small number of clinicians or healthcare sites. Outcome measures in general were underdeveloped and varied markedly among studies, depending on the setting or step in the diagnostic process. CONCLUSIONS: Despite a number of suggested interventions in the literature, few empirical studies in the past decade have tested interventions to reduce diagnostic errors. Advancing the science of diagnostic error prevention will require more robust study designs and rigorous definitions of diagnostic processes and outcomes to measure intervention effects.

Patient-level and hospital-level determinants of the quality of acute stroke care: a multilevel modeling approach.

BACKGROUND AND PURPOSE: Quality of care may be influenced by patient and hospital factors. Our goal was to use multilevel modeling to identify patient-level and hospital-level determinants of the quality of acute stroke care in a stroke registry. METHODS: During 2001 to 2002, data were collected for 4897 ischemic stroke and TIA admissions at 96 hospitals from 4 prototypes of the Paul Coverdell National Acute Stroke Registry. Duration of data collection varied between prototypes (range, 2-6 months). Compliance with 8 performance measures (recombinant tissue plasminogen activator treatment, antithrombotics < 24 hours, deep venous thrombosis prophylaxis, lipid testing, dysphagia screening, discharge antithrombotics, discharge anticoagulants, smoking cessation) was summarized in a composite opportunity score defined as the proportion of all needed care given. Multilevel linear regression analyses with hospital specified as a random effect were conducted. RESULTS: The average hospital composite score was 0.627. Hospitals accounted for a significant amount of variability (intraclass correlation = 0.18). Bed size was the only significant hospital-level variable; the mean composite score was 11% lower in small hospitals (≤ 145 beds) compared with large hospitals (≥ 500 beds). Significant patient-level variables included age, race, ambulatory status documentation, and neurologist involvement. However, these factors explained < 2.0% of the variability in care at the patient level. CONCLUSIONS: Multilevel modeling of registry data can help identify the relative importance of hospital-level and patient-level factors. Hospital-level factors accounted for 18% of total variation in the quality of care. Although the majority of variability in care occurred at the patient level, the model was able to explain only a small proportion.

Performance achievement award program for Get With The Guidelines--Coronary Artery Disease is associated with global and sustained improvement in cardiac care for patients hospitalized with an acute myocardial infarction.

BACKGROUND: Adherence to evidence-based guidelines for the treatment of coronary artery disease (CAD) is suboptimal. Our goal was to determine whether the performance achievement award program for Get With The Guidelines-Coronary Artery Disease (GWTG-CAD) was associated with global and sustained adherence to evidence-based guidelines for acute myocardial infarction. METHODS: Adherence to evidence-based guidelines was assessed in 170,061 hospitalized acute myocardial infarction patients from 418 US hospitals participating in GWTG-CAD from 2000 to 2008. Hospitals that received a performance achievement award by attaining 85% adherence with 6 GWTG performance measures for at least 12 consecutive months were compared with those that had enrolled in the GWTG-CAD and had not attained this level of adherence. The outcome measures were change in adherence for 6 GWTG performance measures, 9 GWTG quality measures, a composite score, and an all-or-none measure. Generalized estimating equations were used to provide valid inference accounting for the within site correlation. RESULTS: Hospitals that maintained 85% adherence with GWTG performance measures for at least 12 consecutive months had a higher composite score (94.78 +/- 15.99% vs. 89.72 +/- 21.37, P < 0.0001) and an all-or-none measure (87.17% vs. 75.15%, P < 0.0001) compared with hospitals that had not yet attained this level of adherence. Hospital adherence with performance and quality measures generally improved over time. CONCLUSIONS: In conclusion, the performance achievement award program for GWTG-CAD was associated with global and sustained adherence to evidence-based guidelines. Our data suggest that this tool is a useful component of a quality improvement initiative and should be considered for other similar programs.

Persistence with stroke prevention medications 3 months after hospitalization.

OBJECTIVE: To measure longitudinal use of stroke prevention medications following stroke hospital discharge. We hypothesized that a combination of patient-, provider-, and system-level factors influence medication-taking behavior. DESIGN: Observational cohort design. SETTING: One hundred six US hospitals participating in the American Heart Association Get With The Guidelines-Stroke program. PATIENTS: Two thousand eight hundred eighty-eight patients 18 years or older admitted with ischemic stroke or transient ischemic attack. MAIN OUTCOME MEASURE: Regimen persistence, including use of antiplatelet therapies, warfarin, antihypertensive therapies, lipid-lowering therapies, or diabetes medications, from discharge to 3 months. Reasons for nonpersistence were also ascertained. RESULTS: Two thousand five hundred ninety-eight patients (90.0%) were eligible for analysis. At 3 months, 75.5% of subjects continued taking all secondary prevention medications prescribed at discharge. Persistence at 3 months was associated with decreasing number of medication classes prescribed, increasing age, medical history, less severe stroke disability, having insurance, working status, understanding why medications are prescribed and how to refill them, increased quality of life, financial hardship, geographic region, and hospital size. CONCLUSIONS: One-quarter of stroke patients reported discontinuing 1 or more of their prescribed regimen of secondary prevention medications within 3 months of hospitalization for an acute stroke. Several modifiable factors associated with regimen persistence were identified and could be targets for improving long-term secondary stroke prevention.

Rapid change in prescribing behavior in hospitals participating in get with the guidelines-stroke after release of the management of atherothrombosis with clopidogrel in high-risk patients (MATCH) clinical trial results.

BACKGROUND AND PURPOSE: Physician prescribing patterns change slowly despite published randomized trials and consensus guidelines. We measure the effect of Management of Atherothrombosis With Clopidogrel in High-Risk Patients (MATCH) trial on discharge prescribing patterns for patients with stroke and those with transient ischemic attack in the Get With The Guidelines (GWTG)-Stroke Program. METHODS: We analyzed discharge prescribing patterns of antithrombotic medications for patients admitted with ischemic stroke or transient ischemic attack at hospitals participating in GWTG-Stroke between October 2002 to January 2006. Clinical information by quarter was analyzed in relation to publication of the MATCH study. Frequency of discharge prescription of aspirin+clopidogrel post-MATCH publication was compared with the pre-MATCH period after adjusting for patient and hospital characteristics and clustering by hospital. RESULTS: A total of 107 872 patients at 632 sites were eligible to receive antithrombotic therapy at discharge. Use of aspirin+clopidogrel therapy declined from 22.4% to 15.4% of patients after the publication of MATCH (adjusted OR 0.62, 95% CI 0.56 to 0.70, P<0.0001). Analysis by quarter revealed a rapid and sustained decrease in use of aspirin+clopidogrel therapy for the remainder of the study period. CONCLUSIONS: A rapid and sustained reduction in the frequency of aspirin+clopidogrel use in ischemic stroke and transient ischemic attack was observed after publication of the MATCH trial in the absence of MATCH-specific GWTG-Stroke initiatives and preceding an American Heart Association guideline update.

Trends in the use of evidence-based treatments for coronary artery disease among women and the elderly: findings from the get with the guidelines quality-improvement program.

BACKGROUND: Significant disparities have been reported in the application of evidence-based guidelines in the treatment of coronary artery disease (CAD) in women and the elderly. We hypothesized that participation in a quality-improvement program could improve care for all patients and thus narrow treatment gaps over time. METHODS AND RESULTS: Treatment of 237 225 patients hospitalized with CAD was evaluated in the Get With the Guidelines-CAD program from 2002 to 2007. Six quality measures were evaluated in eligible patients without contraindications: aspirin on admission and discharge, beta-blockers use at discharge, angiotensin-converting enzyme inhibitor or angiotensin receptor antagonist use, lipid-lowering medication use, and tobacco cessation counseling along with other care metrics. Over time, composite adherence on these 6 measures increased from 86.5% to 97.4% (+10.9%) in men and 84.8% to 96.2% (+11.4%) in women. There was a slight difference in composite adherence by sex that remained significant over time (P<0.0001), but this was confined to patients <75 years. Composite adherence in younger patients (<75 years) increased from 87.1% to 97.7% (+10.6%) and from 83.0% to 95.1% (+12.1%) in the elderly (>or=75 years) over time. CONCLUSIONS: Among hospitals participating in Get With the Guidelines-CAD, guideline adherence has improved substantially over time for both women and men and younger and older CAD patients, with only slight age and sex differences in some measures persisting.