Prolonged Prehospital Time Is a Risk Factor for Pneumonia in Trauma (the PRE-TRIP Study): A Retrospective Analysis of the United States National Trauma Data Bank.

BACKGROUND: Although multiple risk factors for development of pneumonia in patients with trauma sustained in a motor vehicle accident have been studied, the effect of prehospital time on pneumonia incidence post-trauma is unknown. RESEARCH QUESTION: Is prolonged prehospital time an independent risk factor for pneumonia? STUDY DESIGN AND METHODS: We retrospectively analyzed prospectively collected clinical data from 806,012 motor vehicle accident trauma incidents from the roughly 750 trauma hospitals contributing data to the National Trauma Data Bank between 2010 and 2016. RESULTS: Prehospital time was independently associated with development of pneumonia post-motor vehicle trauma (P < .001). This association was primarily driven by patients with low Glasgow Coma Scale scores. Post-trauma pneumonia was uncommon (1.5% incidence) but was associated with a significant increase in mortality (P < .001, 4.3% mortality without pneumonia vs 12.1% mortality with pneumonia). Other pneumonia risk factors included age, sex, race, primary payor, trauma center teaching status, bed size, geographic region, intoxication, comorbid lung disease, steroid use, lower Glasgow Coma Scale score, higher Injury Severity Scale score, blood product transfusion, chest trauma, and respiratory burns. INTERPRETATION: Increased prehospital time is an independent risk factor for development of pneumonia and increased mortality in patients with trauma caused by a motor vehicle accident. Although prehospital time is often not modifiable, its recognition as a pneumonia risk factor is important, because prolonged prehospital time may need to be considered in subsequent decision-making.

Racial/Ethnic Differences in 30-Day Mortality for Heart Failure and Pneumonia in the Veterans Health Administration Using Claims-based, Clinical, and Social Risk-adjustment Variables.

BACKGROUND: Prior studies have identified lower mortality in Black Veterans compared with White Veterans after hospitalization for common medical conditions, but these studies adjusted for comorbid conditions identified in administrative claims. OBJECTIVES: The objectives of this study were to compare mortality for non-Hispanic White (hereafter, "White"), non-Hispanic Black (hereafter, "Black"), and Hispanic Veterans hospitalized for heart failure (HF) and pneumonia and determine whether observed mortality differences varied according to whether claims-based comorbid conditions and/or clinical variables were included in risk-adjustment models. RESEARCH DESIGN: This was an observational study. SUBJECTS: The study cohort included 143,520 admissions for HF and 127,782 admissions for pneumonia for Veterans hospitalized in 132 Veterans Health Administration (VA) Medical Centers between January 2009 and September 2015. MEASURES: The primary independent variable was racial/ethnic group (ie, Black, Hispanic, and non-Hispanic White), and the outcome was all-cause mortality 30 days following admission. To compare mortality by race/ethnicity, we used logistic regression models that included different combinations of claims-based, clinical, and sociodemographic variables. For each model, we estimated the average marginal effect (AME) for Black and Hispanic Veterans relative to White Veterans. RESULTS: Among the 143,520 (127,782) hospitalizations for HF (pneumonia), the average patient age was 71.6 (70.9) years and 98.4% (97.1%) were male. The unadjusted 30-day mortality rates for HF (pneumonia) were 7.2% (11.0%) for White, 4.1% (10.4%) for Black and 8.4% (16.9%) for Hispanic Veterans. Relative to White Veterans, when only claims-based variables were used for risk adjustment, the AME (95% confidence interval) for the HF [pneumonia] cohort was -2.17 (-2.45, -1.89) [0.08 (-0.41, 0.58)] for Black Veterans and 1.32 (0.49, 2.15) [4.51 (3.65, 5.38)] for Hispanic Veterans. When clinical variables were incorporated in addition to claims-based ones, the AME, relative to White Veterans, for the HF [pneumonia] cohort was -1.57 (-1.88, -1.27) [-0.83 (-1.31, -0.36)] for Black Veterans and 1.50 (0.71, 2.30) [3.30 (2.49, 4.11)] for Hispanic Veterans. CONCLUSIONS: Compared with White Veterans, Black Veterans had lower mortality, and Hispanic Veterans had higher mortality for HF and pneumonia. The inclusion of clinical variables into risk-adjustment models impacted the magnitude of racial/ethnic differences in mortality following hospitalization. Future studies examining racial/ethnic disparities should consider including clinical variables for risk adjustment.

Geographic Variation in Racial Disparities in Mortality From Influenza and Pneumonia in the United States in the Pre-Coronavirus Disease 2019 Era.

BACKGROUND: In 2018, influenza and pneumonia was the eighth leading cause of death in the United States. Since 1950, non-Hispanic blacks (NHBs) have experienced higher rates of mortality than non-Hispanic whites (NHWs). Previous studies have revealed geographic variation in mortality rates by race. The identification of areas with the greatest disparity in influenza and pneumonia mortality may assist policymakers in the allocation of resources, including for the coronavirus disease 2019 pandemic. RESEARCH QUESTION: Does geographic variation in racial disparity in influenza and pneumonia mortality exist? STUDY DESIGN AND METHODS: The Centers for Disease Control and Prevention database for Multiple Cause of Death between 1999 and 2018 for NHB and NHW decedents ≥ 25 years of age with a Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems code for influenza (J09-J11) and pneumonia (J12-J18) was used. Age-adjusted mortality rates (AAMRs) with 95% CIs were computed by race for Health & Human Services (HHS) regions and urbanization in NHBs and NHWs. RESULTS: In 1999 through 2018, there were 540,476 deaths among NHBs and NHWs 25 to 84 years of age. AAMRs were higher in NHBs than NHWs in each age group and in seven of 10 HHS regions. The greatest disparity was in HHS regions 2 (New York and New Jersey) and 9 (Arizona, California, Hawaii, and Nevada). In HHS region 2, NHBs (24.6; 95% CI, 24.1-25.1) were more likely to die than NHWs (15.7; 95% CI, 15.6-15.9). Similarly, in region 9, NHBs (23.2; 95% CI, 22.7-23.8) had higher mortality than NHWs (16.1; 95% CI, 15.9-16.2). Within these regions, disparities were greatest in the core of major metropolitan areas. A very high AAMR in NHBs was noted in large, central metropolitan areas of region 2: 28.2 (95% CI, 27.6-28.9). INTERPRETATION: In 1999 through 2018, the NHB-NHW disparity in AAMRs from influenza and pneumonia was greatest in central metropolitan areas of HHS regions 2 and 9.

High-dose influenza vaccination and mortality among predominantly male, white, senior veterans, United States, 2012/13 to 2014/15.

IntroductionIt is unclear whether high-dose influenza vaccine (HD) is more effective at reducing mortality among seniors.AimThis study aimed to evaluate the relative vaccine effectiveness (rVE) of HD. MethodsWe linked electronic medical record databases in the Veterans Health Administration (VHA) and Medicare administrative files to examine the rVE of HD vs standard-dose influenza vaccines (SD) in preventing influenza/pneumonia-associated and cardiorespiratory mortality among VHA-enrolled veterans 65 years or older during the 2012/13, 2013/14 and 2014/15 influenza seasons. A multivariable Cox proportional hazards model was performed on matched recipients of HD vs SD, based on vaccination time, location, age, sex, ethnicity and VHA priority level. ResultsAmong 569,552 person-seasons of observation, 207,574 (36%) were HD recipients and 361,978 (64%) were SD recipients, predominantly male (99%) and white (82%). Pooling findings from all three seasons, the adjusted rVE estimate of HD vs SD during the high influenza periods was 42% (95% confidence interval (CI): 24-59) against influenza/pneumonia-associated mortality and 27% (95% CI: 23-32) against cardiorespiratory mortality. Residual confounding was evident in both early and late influenza periods despite matching and multivariable adjustment. Excluding individuals with high 1-year predicted mortality at baseline reduced the residual confounding and yielded rVE of 36% (95% CI: 10-62) and 25% (95% CI: 12-38) against influenza/pneumonia-associated and cardiorespiratory mortality, respectively. These were confirmed by results from two-stage residual inclusion estimations.DiscussionThe HD was associated with a lower risk of influenza/pneumonia-associated and cardiorespiratory death in men during the high influenza period.

Ethnic disparity in pneumonia-specific mortality among children under 5 years of age in Sichuan Province of Western China from 2010 to 2017.

BACKGROUND: To reveal the ethnic disparity in the pneumonia-specific mortality rates of children under the age of 5 years (PU5MRs) and provide suggestions regarding priority interventions to reduce preventable under-five-years-of-age deaths. METHODS: Data were obtained from the Direct Report System of Maternal and Child Health in Sichuan. The Cochran-Armitage trend test was used to assess the time trend. The Cochran-Mantel-Haenszel test and Chi-square test were used to examine the differences in the PU5MRs among different groups. RESULTS: The PU5MRs in the minority and nonminority counties decreased by 53.7 and 42.3% from 2010 to 2017, respectively. The PU5MRs of the minority counties were 4.81 times higher than those of the nonminority counties in 2017. The proportion of pneumonia deaths to total deaths in Sichuan Province increased from 11.7% in 2010 to 15.5% in 2017. The pneumonia-specific mortality rates of children in the categories of 0-28 days, 29 days-11 months, and 12-59 months were reduced by 55.1, 38.8, and 65.5%, respectively, in the minority counties and by 35.5, 43.1, and 43.7%, respectively, in the nonminority counties. CONCLUSIONS: PU5MRs declined in Sichuan, especially in the minority counties, while ethnic disparity still exists. Although the PU5MRs decreased more for the minority counties as a fraction of all mortality, the absolute number of such deaths were higher, and therefore more children in these counties continue to die from pneumonia than from the non-minority counties. Priority should be given to strategies for preventing and controlling child pneumonia, especially for postneonates, in the minority counties.

Measuring hospital-specific disparities by dual eligibility and race to reduce health inequities.

OBJECTIVE: To propose and evaluate a metric for quantifying hospital-specific disparities in health outcomes that can be used by patients and hospitals. DATA SOURCES/STUDY SETTING: Inpatient admissions for Medicare patients with acute myocardial infarction, heart failure, or pneumonia to all non-federal, short-term, acute care hospitals during 2012-2015. STUDY DESIGN: Building on the current Centers for Medicare and Medicaid Services methodology for calculating risk-standardized readmission rates, we developed models that include a hospital-specific random coefficient for either patient dual eligibility status or African American race. These coefficients quantify the difference in risk-standardized outcomes by dual eligibility and race at a given hospital after accounting for the hospital's patient case mix and proportion of dual eligible or African American patients. We demonstrate this approach and report variation and performance in hospital-specific disparities. PRINCIPAL FINDINGS: Dual eligibility and African American race were associated with higher readmission rates within hospitals for all three conditions. However, this disparity effect varied substantially across hospitals. CONCLUSION: Our models isolate a hospital-specific disparity effect and demonstrate variation in quality of care for different groups of patients across conditions and hospitals. Illuminating within-hospital disparities can incentivize hospitals to reduce inequities in health care quality.

Association of Racial and Socioeconomic Disparities With Outcomes Among Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, and Pneumonia: An Analysis of Within- and Between-Hospital Variation.

Importance: Although studies have described differences in hospital outcomes by patient race and socioeconomic status, it is not clear whether such disparities are driven by hospitals themselves or by broader systemic effects. Objective: To determine patterns of racial and socioeconomic disparities in outcomes within and between hospitals for patients with acute myocardial infarction, heart failure, and pneumonia. Design, Setting, and Participants: Retrospective cohort study initiated before February 2013, with additional analyses conducted during the peer-review process. Hospitals in the United States treating at least 25 Medicare fee-for-service beneficiaries aged 65 years or older in each race (ie, black and white) and neighborhood income level (ie, higher income and lower income) for acute myocardial infarction, heart failure, and pneumonia between 2009 and 2011 were included. Main Outcomes and Measures: For within-hospital analyses, risk-standardized mortality rates and risk-standardized readmission rates for race and neighborhood income subgroups were calculated at each hospital. The corresponding ratios using intraclass correlation coefficients were then compared. For between-hospital analyses, risk-standardized rates were assessed according to hospitals' proportion of patients in each subgroup. These analyses were performed for each of the 12 analysis cohorts reflecting the unique combinations of outcomes (mortality and readmission), demographics (race and neighborhood income), and conditions (acute myocardial infarction, heart failure, and pneumonia). Results: Between 74% (3545 of 4810) and 91% (4136 of 4554) of US hospitals lacked sufficient racial and socioeconomic diversity to be included in this analysis, with the number of hospitals eligible for analysis varying among cohorts. The 12 analysis cohorts ranged in size from 418 to 1265 hospitals and from 144 417 to 703 324 patients. Within included hospitals, risk-standardized mortality rates tended to be lower among black patients (mean [SD] difference between risk-standardized mortality rates in black patients compared with white patients for acute myocardial infarction, -0.57 [1.1] [P = .47]; for heart failure, -4.7 [1.3] [P < .001]; and for pneumonia, -1.0 [2.0] [P = .05]). However, risk-standardized readmission rates among black patients were higher (mean [SD] difference between risk-standardized readmission rates in black patients compared with white patients for acute myocardial infarction, 4.3 [1.4] [P < .001]; for heart failure, 2.8 [1.8] [P < .001], and for pneumonia, 3.7 [1.3] [P < .001]). Intraclass correlation coefficients ranged from 0.68 to 0.79, indicating that hospitals generally delivered consistent quality to patients of differing races. While the coefficients in the neighborhood income analysis were slightly lower (0.46-0.60), indicating some heterogeneity in within-hospital performance, differences in mortality rates and readmission rates between the 2 neighborhood income groups were small. There were no strong, consistent associations between risk-standardized outcomes for white or higher-income neighborhood patients and hospitals' proportion of black or lower-income neighborhood patients. Conclusions and Relevance: Hospital performance according to race and socioeconomic status was generally consistent within and between hospitals, even as there were overall differences in outcomes by race and neighborhood income. This finding indicates that disparities are likely to be systemic, rather than localized to particular hospitals.

A Health Profile of Arab Americans in Michigan: A Novel Approach to Using a Hospital Administrative Database.

The objectives of this study were to estimate and compare the prevalence of heart disease, cancer, chronic lower respiratory disease, stroke, Alzheimer's, diabetes, nephrosis, flu/pneumonia, hypertension, and atherosclerosis between Arab Americans and whites attending a large, metropolitan hospital system. The sample included 68,047 patients, 18 years of age or older, who visited the hospital during 2012. Demographic and disease variables were electronically abstracted. Demographic characteristics were compared between Arab Americans and whites using Chi square tests. Sex specific, age-adjusted prevalence ratios (PR) and 95 % confidence intervals were estimated for these two groups using a log-binomial regression model. Compared to white men, Arab American men had a higher prevalence of diabetes (PR 1.40, 95 % CI 1.29-1.52) and hypertension (PR 1.07, 95 % CI 1.04-1.10), and a lower prevalence of chronic lower respiratory disease (PR 0.74, 95 % CI 0.66-0.83). Compared to white women, Arab American women had a higher prevalence of chronic lower respiratory disease (PR 1.12, 95 % CI 1.01-1.25), diabetes (PR 1.49, 95 % CI 1.38-1.60), influenza/pneumonia (PR 1.26, 95 % CI 1.05-1.51) and hypertension (PR 1.04, 95 % CI 1.01-1.08). This study supports previous findings that health disparities exist for Arab Americans, who are classified as "white" in health statistics. Standard inclusion of Arab American as a separate ethnicity category will aid researchers in assessing the health care needs of this growing minority community.

Quality and equity of care in U.S. hospitals.

BACKGROUND: Nearly every U.S. hospital publicly reports its performance on quality measures for patients who are hospitalized for acute myocardial infarction, heart failure, or pneumonia. Because performance rates are not reported according to race or ethnic group, it is unclear whether improvements in equity of care have accompanied aggregate improvements in health care quality over time. METHODS: We assessed performance rates for quality measures covering three conditions (six measures for acute myocardial infarction, four for heart failure, and seven for pneumonia). These rates, adjusted for patient- and hospital-level covariates, were compared among non-Hispanic white, non-Hispanic black, and Hispanic patients who received care between 2005 and 2010 in acute care hospitals throughout the United States. RESULTS: Adjusted performance rates for the 17 quality measures improved by 3.4 to 57.6 percentage points between 2005 and 2010 for white, black, and Hispanic adults (P<0.001 for all comparisons). In 2005, as compared with adjusted performance rates for white patients, adjusted performance rates were more than 5 percentage points lower for black patients on 3 measures (range of differences, 12.3 to 14.2) and for Hispanic patients on 6 measures (5.6 to 14.5). Gaps decreased significantly on all 9 of these measures between 2005 and 2010, with adjusted changes for differences between white patients and black patients ranging from -8.5 to -11.8 percentage points and from -6.2 to -15.1 percentage points for differences between white patients and Hispanic patients. Decreasing differences according to race or ethnic group were attributable to more equitable care for white patients and minority patients treated in the same hospital, as well as to greater performance improvements among hospitals that disproportionately serve minority patients. CONCLUSIONS: Improved performance on quality measures for white, black, and Hispanic adults hospitalized for acute myocardial infarction, heart failure, or pneumonia was accompanied by increased racial and ethnic equity in performance rates both within and among U.S. hospitals. (Funded by the Centers for Medicare and Medicaid Services and the Veterans Affairs Health Services Research and Development Career Development Program.).

Comparing teaching versus nonteaching hospitals: the association of patient characteristics with teaching intensity for three common medical conditions.

PURPOSE: To quantify the role of teaching hospitals in direct patient care, the authors compared characteristics of patients served by hospitals of varying teaching intensity. METHOD: The authors studied Medicare beneficiaries ≥ 66 years old, hospitalized in 2009-2010 for acute myocardial infarction, heart failure, or pneumonia. They categorized hospitals as nonteaching, teaching, or Council of Teaching Hospitals and Health Systems (COTH) members and performed secondary analyses using intern and resident-to-bed ratios. The authors used descriptive statistics, adjusted odds ratios, and linear propensity scores to compare patient characteristics among teaching intensity levels. They supplemented Medicare mortality model variables with race, transfer status, and distance traveled. RESULTS: Adjusted for comorbidities, black patients had 2.44 (95% confidence interval [CI] 2.36-2.52), 2.56 (95% CI 2.51-2.60), and 2.58 (95% CI 2.51-2.65) times the odds of COTH hospital admission compared with white patients for acute myocardial infarction, heart failure, and pneumonia, respectively. For patients transferred from another hospital's inpatient setting, the corresponding adjusted odds ratios of COTH hospital admission were 3.99 (95% CI 3.85-4.13), 4.60 (95% CI 4.34-4.88), and 4.62 (95% CI 4.16-5.12). Using national data, distributions of propensity scores (probability of admission to a COTH hospital) varied markedly among teaching intensity levels. Data from Massachusetts and California illustrated between-state heterogeneity in COTH utilization. CONCLUSIONS: Major teaching hospitals are significantly more likely to provide care for minorities and patients requiring transfer from other institutions for advanced care.Both are essential to an equitable and high-quality regional health care system.

Race as a predictor of morbidity, mortality, and neurologic events after carotid endarterectomy.

OBJECTIVE: Racial disparities in the outcomes of patients undergoing carotid endarterectomy (CEA) have been reported. We sought to examine the contemporary relationship between race and outcomes and to report postdischarge events after CEA. METHODS: The American College of Surgeons National Surgical Quality Improvement Program Participant Use Data Files were reviewed to identify all CEAs performed from 2005 to 2010 by vascular surgeons. The influence of race on outcomes was examined. Multivariate analysis was performed using variables found to be significant on bivariate analysis. The primary outcomes were stroke and mortality. Secondary outcomes were other 30-day complications, including postdischarge events. RESULTS: CEA was performed on 29,114 white patients (95.7%) and on 1316 black patients (4.3%); the overall stroke and mortality rates were 1.65% and 0.7%, respectively. The stroke rate was 1.6% for whites and 2.5% blacks (P = .009). The 30-day mortality rate was 0.7% for whites and 1.4% for blacks (P = .002). There was a longer operating time (P < .001) and total length of stay (P < .001), more postoperative pneumonias (P = .049), unplanned intubations (P < .001), ventilator dependence (P < .001), cardiac arrests (P < .001), bleeding requiring transfusions (P = .024), and reoperations within 30 days (P = .021) among black patients. Multivariate logistic regression modeling identified black race as an independent risk factor for 30-day mortality (odds ratio, 1.9; P = .007). Black patients also had a greater proportion of in-hospital deaths than white patients (73.7% vs 43.1%; P = .01). There was no between-group difference in the rate of postdischarge strokes. Thirty-six percent of all strokes occurred after discharge at a mean of 8.3 days, and 54.3% of deaths occurred after discharge at a mean of 11 days. CONCLUSIONS: Black race is an independent risk factor for 30-day mortality after CEA. A significant proportion of strokes and deaths occur after discharge in both racial groups evaluated.

Racial and ethnic disparities within and between hospitals for inpatient quality of care: an examination of patient-level Hospital Quality Alliance measures.

BACKGROUND: Little is known about whether disparities occur within or between hospitals for national Hospital Quality Alliance (HQA) measures. METHODS: We examined patient-level data from 4,450 non-federal hospitals in the U.S. for over 2.3 million Black, Hispanic, Asian, American Indian/Alaska Native, and Native Hawaiian/Pacific Islander patients who received care for acute myocardial infarction, heart failure, or pneumonia in 2005. RESULTS: There were 37 out of 95 findings of disparities after adjusting for patient characteristics. Eleven of the disparities were explained entirely by where minorities received care and the magnitude for 25 of the others was substantially reduced after adjusting for site of care. DISCUSSION: Adjusting for between-hospital quality differences accounted for a large proportion of the disparities. Where disparities exist, the primary cause may be that minorities are more likely to receive care in lower-performing hospitals. Policies to reduce disparities should include targeting resources to facilities serving a high percentage of minority patients.

Medicare readmissions policies and racial and ethnic health disparities: a cautionary tale.

Beginning in 2009, the Centers for Medicare & Medicaid Services started publicly reporting hospital readmission rates as part of the Hospital Compare website. Hospitals will begin having payments reduced if their readmission rates are higher than expected starting in fiscal year 2013. Value-based purchasing initiatives including public reporting and pay-for-performance incentives have the potential to increase quality of care. There is concern, however, that hospitals providing service to minority communities may be disproportionately penalized as a result of these policies due to higher rates of readmissions among racial and ethnic minority groups. Using 2008 Medicare data, we assess the risk for readmission for minorities and discuss implications for minority-serving institutions.

The relationship between in-home water service and the risk of respiratory tract, skin, and gastrointestinal tract infections among rural Alaska natives.

OBJECTIVES: We investigated the relationship between the presence of in-home piped water and wastewater services and hospitalization rates for respiratory tract, skin, and gastrointestinal tract infections in rural Alaska. METHODS: We determined in-home water service and hospitalizations for selected infectious diseases among Alaska Natives by region during 2000 to 2004. Within 1 region, infant respiratory hospitalizations and skin infections for all ages were compared by village-level water services. RESULTS: Regions with a lower proportion of home water service had significantly higher hospitalization rates for pneumonia and influenza (rate ratio [RR] = 2.5), skin or soft tissue infection (RR = 1.9), and respiratory syncytial virus (RR = 3.4 among those younger than 5 years) than did higher-service regions. Within 1 region, infants from villages with less than 10% of homes served had higher hospitalization rates for pneumonia (RR = 1.3) and respiratory syncytial virus (RR = 1.2) than did infants from villages with more than 80% served. Outpatient Staphylococcus aureus infections (RR = 5.1, all ages) and skin infection hospitalizations (RR = 2.7, all ages) were higher in low-service than in high-service villages. CONCLUSIONS: Higher respiratory and skin infection rates were associated with a lack of in-home water service. This disparity should be addressed through sanitation infrastructure improvements.

Hospital characteristics and racial disparities in hospital mortality from common medical conditions.

OBJECTIVES: Less is known about racial disparities in mortality from medical conditions than for procedures. We determined whether black-white disparities in risk-adjusted hospital mortality exist for five common conditions (myocardial infarction, congestive heart failure, cerebral vascular accident, gastrointestinal hemorrhage and pneumonia), and to determine the role of hospital characteristics. METHODS: We used the 2003 Nationwide Inpatient Sample. Where a mortality disadvantage for black patients was demonstrated, additional analyses assessed whether the degree of disparity varied by hospital characteristics. RESULTS: Mortality for black patients was equivalent to or lower than that for white patients for four of the five conditions. Black patients were more likely than white patients to die from gastrointestinal hemorrhage (1.5% vs. 1.1%, p<0.001). In multivariate analysis, hospital racial composition was the only characteristic associated with degree of disparity for gastrointestinal hemorrhage, with hospitals discharging fewer black patients demonstrating greater disparity. CONCLUSIONS: In a large, multistate sample, there was no evidence of disparities in mortality for four of five common conditions. Black-white racial disparities in mortality from gastrointestinal hemorrhage, however, may be associated with hospital racial composition.

Racial variations in processes of care for patients with community-acquired pneumonia.

BACKGROUND: Patients hospitalized with community acquired pneumonia (CAP) have a substantial risk of death, but there is evidence that adherence to certain processes of care, including antibiotic administration within 8 hours, can decrease this risk. Although national mortality data shows blacks have a substantially increased odds of death due to pneumonia as compared to whites previous studies of short-term mortality have found decreased mortality for blacks. Therefore we examined pneumonia-related processes of care and short-term mortality in a population of patients hospitalized with CAP. METHODS: We reviewed the records of all identified Medicare beneficiaries hospitalized for pneumonia between 10/1/1998 and 9/30/1999 at one of 101 Pennsylvania hospitals, and randomly selected 60 patients at each hospital for inclusion. We reviewed the medical records to gather process measures of quality, pneumonia severity and demographics. We used Medicare administrative data to identify 30-day mortality. Because only a small proportion of the study population was black, we included all 240 black patients and randomly selected 720 white patients matched on age and gender. We performed a resampling of the white patients 10 times. RESULTS: Males were 43% of the cohort, and the median age was 76 years. After controlling for potential confounders, blacks were less likely to receive antibiotics within 8 hours (odds ratio with 95% confidence interval 0.6, 0.4-0.97), but were as likely as whites to have blood cultures obtained prior to receiving antibiotics (0.7, 0.3-1.5), to have oxygenation assessed within 24 hours of presentation (1.6, 0.9-3.0), and to receive guideline concordant antibiotics (OR 0.9, 0.6-1.7). Black patients had a trend towards decreased 30-day mortality (0.4, 0.2 to 1.0). CONCLUSION: Although blacks were less likely to receive optimal care, our findings are consistent with other studies that suggest better risk-adjusted survival among blacks than among whites. Further study is needed to determine why this is the case.

Health care disparities in disadvantaged Medicare beneficiaries: a national project review.

The wealth of literature documenting differences in health care utilization by race and ethnicity underscores the need to develop a system to effectively measure health care related disparities. The Centers for Medicare & Medicaid Services has taken the first steps toward detailing the quality of care for fee-for-service (FFS) Medicare beneficiaries. Using data collected for the two-period 1997-1999 on a cross-section of beneficiaries from all states and territories of the U.S., quality was measured using a set of 24 indicators of care. The results of this effort were reported in the October 4, 2000 issue of the Journal of the American Medical Association. This article reports similar measures of quality but focuses specifically on disparities in the indicators among five disadvantaged Medicare beneficiary groups: African-American, American Indian/Alaska Natives, Asian/Pacific Islanders, Hispanics, and Medicare beneficiaries enrolled in Medicaid (dually enrolled). These indicators serve as a baseline for tracking quality improvement within disadvantaged populations and evaluating the success of efforts to reduce health care disparities at the national level. The findings suggest that patterns of disparities exist in both the inpatient and outpatient settings for disadvantaged beneficiaries. Over the next decade, the composition of Medicare beneficiaries will become more diverse. This increasing diversity makes it imperative to identify and monitor the existence and extent of health care disparities. The consistent and ongoing evaluation of racial, ethnic, and socioeconomic disparities should provide an incentive to create effective preventive programs tailored to specific community needs.