Sophia Greer

Geographic Disparities in Heart Failure Hospitalization Rates Among Medicare Beneficiaries

OBJECTIVES This study was designed to document local-level geographic disparities in heart failure (HF) hospitalization rates among Medicare beneficiaries. BACKGROUND Although the burden of HF is well documented at the national level, little is known about the geographic disparities in HF. METHODS The study population consisted of fee-for-service Medicare beneficiaries >or=65 years of age who resided in the U.S., Puerto Rico, or the U.S. Virgin Islands during the years 2000 to 2006. Using hospital claims data for Medicare beneficiaries, we calculated spatially smoothed and age-adjusted average annual county-level HF hospitalization rates per 1,000 Medicare beneficiaries for the total population and by racial/ethnic group (blacks, Hispanics, and whites) for the years 2000 to 2006. A HF hospitalization was defined as a short-stay hospital claim with a principal (first-listed) discharge diagnosis of HF using the International Classification of Diseases-9th Revision-Clinical Modification code 428. RESULTS The average annual age-adjusted HF hospitalization rate per 1,000 Medicare beneficiaries was 21.5 per 1,000, and ranged from 7 to 61 per 1,000 among counties in the U.S. For the total study population, a clear East-West gradient was evident, with the highest rates located primarily along the lower Mississippi River Valley and the Ohio River Valley, including the Appalachian region. Similar patterns were observed for blacks and whites, although the pattern for Hispanics differed. CONCLUSIONS The evidence of substantial geographic disparities in HF hospitalizations among Medicare beneficiaries is important information for health professionals to incorporate as they design prevention and treatment policies and programs tailored to the needs of their communities.

Changes in the Geographic Patterns of Heart Disease Mortality in the United States 1973 to 2010

Background— Although many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality. Methods and Results— Age-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged ≥35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties. Conclusions— The dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality.

Comparing methods of measuring geographic patterns in temporal trends: an application to county-level heart disease mortality in the United States, 1973 to 2010

PURPOSE To demonstrate the implications of choosing analytical methods for quantifying spatiotemporal trends, we compare the assumptions, implementation, and outcomes of popular methods using county-level heart disease mortality in the United States between 1973 and 2010. METHODS We applied four regression-based approaches (joinpoint regression, both aspatial and spatial generalized linear mixed models, and Bayesian space-time model) and compared resulting inferences for geographic patterns of local estimates of annual percent change and associated uncertainty. RESULTS The average local percent change in heart disease mortality from each method was -4.5%, with the Bayesian model having the smallest range of values. The associated uncertainty in percent change differed markedly across the methods, with the Bayesian space-time model producing the narrowest range of variance (0.0-0.8). The geographic pattern of percent change was consistent across methods with smaller declines in the South Central United States and larger declines in the Northeast and Midwest. However, the geographic patterns of uncertainty differed markedly between methods. CONCLUSIONS The similarity of results, including geographic patterns, for magnitude of percent change across these methods validates the underlying spatial pattern of declines in heart disease mortality. However, marked differences in degree of uncertainty indicate that Bayesian modeling offers substantially more precise estimates.

EMS medical direction and prehospital practices for acute cardiovascular events.

Abstract Objective. The purpose of this analysis was to determine whether there is an association between type of emergency medical services (EMS) medical direction and local EMS agency practices and characteristics specifically related to emergency response for acute cardiovascular events. Methods. We surveyed 1,292 EMS agencies in nine states. For each cardiovascular prehospital procedure or practice, we compared the proportion of agencies that employed paid (full- or part-time) medical directors with the proportion of agencies that employed volunteer medical directors. We also compared the proportion of EMS agencies who reported direct interaction between emergency medical technicians (EMTs) and their medical director within the previous four weeks with the proportion of agencies who reported no direct interaction. Chi-square tests were used to assess statistical differences in proportion of agencies with a specific procedure by medical director employment status and medical director interaction. We repeated these comparisons using t-tests to evaluate mean differences in call volume. Results. The EMS agencies with prehospital cardiovascular response policies were more likely to report employment of a paid medical director and less likely to report employment of a volunteer medical director. Similarly, agencies with prehospital cardiovascular response practices were more likely to report recent medical director interaction and less likely to report absence of recent medical director interaction. Mean call volumes for chest pain, cardiac arrest, and stroke were higher among agencies having paid medical directors (compared with agencies having volunteer medical directors) and agencies having recent medical director interaction (compared with agencies not having recent medical director interaction). Conclusions. Our study demonstrated that EMS agencies with a paid medical director and agencies with medical director interaction with EMTs in the previous four weeks were more likely to have prehospital cardiovascular procedures in place. Given the strong relationship that both employment status and direct interaction have with the presence of these practices, agencies with limited resources to provide a paid medical director or a medical director that can be actively involved with EMTs should be supported through partnerships and other interventions to ensure that they receive the necessary levels of medical director oversight.

Factors Associated with Emergency Medical Services Scope of Practice for Acute Cardiovascular Events

Abstract Objectives. To examine prehospital emergency medical services (EMS) scope of practice for acute cardiovascular events and characteristics that may affect scope of practice; and to describe variations in EMS scope of practice for these events and the characteristics associated with that variability. Methods. In 2008, we conducted a telephone survey of 1,939 eligible EMS providers in nine states to measure EMS agency characteristics, medical director involvement, and 18 interventions authorized for prehospital care of acute cardiovascular events by three levels of emergency medical technician (EMT) personnel. Results. A total of 1,292 providers responded to the survey, for a response rate of 67%. EMS scope of practice interventions varied by EMT personnel level, with the proportion of authorized interventions increasing as expected from EMT-Basic to EMT-Paramedic. Seven of eight statistically significant associations indicated that EMS agencies in urban settings were less likely to authorize interventions (odds ratios <0.7) for any level of EMS personnel. Based on the subset of six statistically significant associations, fire department–based EMS agencies were two to three times more likely to authorize interventions for EMT-Intermediate personnel. Volunteer EMS agencies were more than twice as likely as nonvolunteer agencies to authorize interventions for EMT-Basic and EMT-Intermediate personnel but were less likely to authorize any one of the 11 interventions for EMT-Paramedics. Greater medical director involvement was associated with greater likelihood of authorization of seven of the 18 interventions for EMT-Basic and EMT-Paramedic personnel but had no association with EMT-Intermediate personnel. Conclusions. We noted statistically significant variations in scope of practice by rural vs. urban setting, medical director involvement, and type of EMS service (fire department–based/non–fire department–based; volunteer/paid). These variations highlight local differences in the composition and capacity of EMS providers and offer important information for the transition towards the implementation of a national scope of practice model.

Assessing Neighborhood-Level Effects on Disparities in Cardiovascular Diseases

Despite declines in mortality from cardiovascular diseases (CVDs) and many CVD risk factors, CVD remains the leading cause of death in the United States, and racial and ethnic disparities persist. In 2010, rates of CVD mortality per 100 000 were: 192.2 for white women; 260.5 for black women; 278.4 for white men; and 369.2 for black men.1 In 2009 and 2010, metrics of ideal cardiovascular health factors (ie, blood pressure, physical activity, healthy diet, healthy weight, smoking status, and glucose) were noted to be lower for blacks and Mexican Americans than for whites or other racial groups.1 In 2012, the following age-adjusted prevalence estimates among nonwhite adult populations were noted compared with the white population:2 (1) the prevalence of heart disease and coronary heart disease (CHD) was similar in blacks, lower in Hispanics and Asians, and higher in American Indians/Alaska natives, and native Hawaiian or other Pacific Island populations; (2) the prevalence of hypertension was higher in blacks, similar or lower in Hispanics and Asians, and higher in American Indians/Alaska natives, and native Hawaiian or other Pacific island populations; and (3) the prevalence of having had a stroke was higher in blacks, lower in Hispanics, and lower in Asian populations. Article see p 141 The persistence of racial and ethnic disparities in CVD is a major public health problem that calls for more understanding of root causes that may inform evidence-based deliberations and policies. Studies have shown that racial and ethnic disparities in CVD: (1) appear to remain after adjusting for known individual-level risk factors such as blood pressure, smoking, body mass index (BMI), and socioeconomic status (SES);3 and (2) tend to vary with age, time, and geography.4,5 These observations suggest that neighborhood-level social or environmental factors not captured by conventional measures of …

Association of the Neighborhood Retail Food Environment with Sodium and Potassium Intake Among US Adults

Introduction High sodium intake and low potassium intake, which can contribute to hypertension and risk of cardiovascular disease, may be related to the availability of healthful food in neighborhood stores. Despite evidence linking food environment with diet quality, this relationship has not been evaluated in the United States. The modified retail food environment index (mRFEI) provides a composite measure of the retail food environment and represents the percentage of healthful-food vendors within a 0.5 mile buffer of a census tract. Methods We analyzed data from 8,779 participants in the National Health and Nutrition Examination Survey, 2005–2008. By using linear regression, we assessed the relationship between mRFEI and sodium intake, potassium intake, and the sodium–potassium ratio. Models were stratified by region (South and non-South) and included participant and neighborhood characteristics. Results In the non-South region, higher mRFEI scores (indicating a more healthful food environment) were not associated with sodium intake, were positively associated with potassium intake (P [trend] = .005), and were negatively associated with the sodium–potassium ratio (P [trend] = .02); these associations diminished when neighborhood characteristics were included, but remained close to statistical significance for potassium intake (P [trend] = .05) and sodium–potassium ratio (P [trend] = .07). In the South, mRFEI scores were not associated with sodium intake, were negatively associated with potassium intake (P [trend] = < .001), and were positively associated with sodium–potassium ratio (P [trend] = .01). These associations also diminished after controlling for neighborhood characteristics for both potassium intake (P [trend] = .03) and sodium–potassium ratio (P [trend] = .40). Conclusion We found no association between mRFEI and sodium intake. The association between mRFEI and potassium intake and the sodium–potassium ratio varied by region. National strategies to reduce sodium in the food supply may be most effective to reduce sodium intake. Strategies aimed at the local level should consider regional context and neighborhood characteristics.

Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years — United States, 1968–2015

Problem/Condition Heart disease is the leading cause of death in the United States. In 2015, heart disease accounted for approximately 630,000 deaths, representing one in four deaths in the United States. Although heart disease death rates decreased 68% for the total population from 1968 to 2015, marked disparities in decreases exist by race and state. Period Covered 1968–2015. Description of System The National Vital Statistics System (NVSS) data on deaths in the United States were abstracted for heart disease using diagnosis codes from the eighth, ninth, and tenth revisions of the International Classification of Diseases (ICD-8, ICD-9, and ICD-10) for 1968–2015. Population estimates were obtained from NVSS files. National and state-specific heart disease death rates for the total population and by race for adults aged ≥35 years were calculated for 1968–2015. National and state-specific black-white heart disease mortality ratios also were calculated. Death rates were age standardized to the 2000 U.S. standard population. Joinpoint regression was used to perform time trend analyses. Results From 1968 to 2015, heart disease death rates decreased for the total U.S. population among adults aged ≥35 years, from 1,034.5 to 327.2 per 100,000 population, respectively, with variations in the magnitude of decreases by race and state. Rates decreased for the total population an average of 2.4% per year, with greater average decreases among whites (2.4% per year) than blacks (2.2% per year). At the national level, heart disease death rates for blacks and whites were similar at the start of the study period (1968) but began to diverge in the late 1970s, when rates for blacks plateaued while rates for whites continued to decrease. Heart disease death rates among blacks remained higher than among whites for the remainder of the study period. Nationwide, the black-white ratio of heart disease death rates increased from 1.04 in 1968 to 1.21 in 2015, with large increases occurring during the 1970s and 1980s followed by small but steady increases until approximately 2005. Since 2005, modest decreases have occurred in the black-white ratio of heart disease death rates at the national level. The majority of states had increases in black-white mortality ratios from 1968 to 2015. The number of states with black-white mortality ratios >1 increased from 16 (40%) to 27 (67.5%). Interpretation Although heart disease death rates decreased both for blacks and whites from 1968 to 2015, substantial differences in decreases were found by race and state. At the national level and in most states, blacks experienced smaller decreases in heart disease death rates than whites for the majority of the period. Overall, the black-white disparity in heart disease death rates increased from 1968 to 2005, with a modest decrease from 2005 to 2015. Public Health Action Since 1968, substantial increases have occurred in black-white disparities of heart disease death rates in the United States at the national level and in many states. These increases appear to be due to faster decreases in heart disease death rates for whites than blacks, particularly from the late 1970s until the mid-2000s. Despite modest decreases in black-white disparities at the national level since 2005, in 2015, heart disease death rates were 21% higher among blacks than among whites. This study demonstrates the use of NVSS data to conduct surveillance of heart disease death rates by race and of black-white disparities in heart disease death rates. Continued surveillance of temporal trends in heart disease death rates by race can provide valuable information to policy makers and public health practitioners working to reduce heart disease death rates both for blacks and whites and disparities between blacks and whites.

County Health Factors Associated with Avoidable Deaths from Cardiovascular Disease in the United States, 2006–2010

Objective. Many cardiovascular deaths can be avoided through primary prevention to address cardiovascular disease (CVD) risk factors or better access to quality medical care. In this cross-sectional study, we examined the relationship between four county-level health factors and rates of avoidable death from CVD during 2006–2010. Methods. We defined avoidable deaths from CVD as deaths among U.S. residents younger than 75 years of age caused by the following underlying conditions, using International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes: ischemic heart disease (I20–I25), chronic rheumatic heart disease (I05–I09), hypertensive disease (I10–I15), or cerebrovascular disease (I60–I69). We stratified county-level death rates by race (non-Hispanic white or non-Hispanic black) and age-standardized them to the 2000 U.S. standard population. We used County Health Rankings data to rank county-level z scores corresponding to four health factors: health behavior, clinical care, social and economic factors, and physical environment. We used Poisson rate ratios (RRs) and 95% confidence intervals (CIs) to compare rates of avoidable death from CVD by health-factor quartile. Results. In a comparison of worst-ranked and best-ranked counties, social and economic factors had the strongest association with rates of avoidable death per 100,000 population from CVD for the total population (RR=1.49; 95% CI 1.39, 1.60) and for each racial/ethnic group (non-Hispanic white: RR=1.37; 95% CI 1.29, 1.45; non-Hispanic black: RR=1.54; 95% CI 1.42, 1.67). Among the non-Hispanic white population, health behaviors had the next strongest association, followed by clinical care. Among the non-Hispanic black population, we observed a significant association with clinical care and physical environment in a comparison of worst-ranked and best-ranked counties. Conclusion. Social and economic factors have the strongest association with rates of avoidable death from CVD by county, which reinforces the importance of social and economic interventions to address geographic disparities in avoidable deaths from CVD.

Changes in the Geographic Patterns of Heart Disease Mortality in the United States

Background— Although many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality. Methods and Results— Age-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged ≥35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties. Conclusions— The dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality.