Black-white Mortality Disparity Research Articles

The uneven impact of Medicaid expansion on rural and urban Black, Latino/a, and White mortality.

To determine the differential impact of Medicaid expansion on all-cause mortality between Black, Latino/a, and White populations in rural and urban areas, and assess how expansion impacted mortality disparities between these groups. We employ a county-level time-varying heterogenous treatment effects difference-in-difference analysis of Medicaid expansion on all-cause age-adjusted mortality for those 64 years of age or younger from 2009 to 2019. For all counties within the 50 US States and the District of Columbia, we use restricted-access vital statistics data to estimate Average Treatment Effect on the Treated (ATET) for all combinations of racial and ethnic group (Black, Latino/a, White), rurality (rural, urban), and sex. We then assess aggregate ATET, as well as how the ATET changed as time from expansion increased. Medicaid expansion led to a reduction in all-cause age-adjusted mortality for urban Black populations, but not rural Black populations. Urban White populations experienced mixed effects dependent on years after expansion. Latino/a populations saw no appreciable impact. While no effect was observed for rural Black and Latino/a populations, rural White all-cause age-adjusted mortality unexpectedly increased due to Medicaid expansion. These effects reduced rural- and urban-specific Black-White mortality disparities but did not shrink the rural-urban mortality gap. The mortality-reducing impact of Medicaid expansion has been uneven across racial and ethnic groups and rural-urban status; suggesting that many populations-particularly rural individuals-are not seeing the same benefits as others. It is imperative that states work to ensure Medicaid expansion is being appropriately implemented in rural areas.

“Racial mortality inversion”: Black-white disparities in mortality among people experiencing homelessness in the United States

Disparities in mortality between Black and White people have long been observed. These disparities persist at all income levels. However, similar patterns in racial mortality disparities are not observed among people experiencing homelessness. Instead, studies in a handful of cities show a reversal in the Black-White mortality disparity in the United States: Black people experiencing homelessness are less likely to die compared to White people experiencing homelessness. We propose a theory of “racial mortality inversion” and test whether inverted Black-White mortality patterns are observable in homeless populations throughout the United States. Using a novel dataset of 18,618 homeless decedents in 20 localities across 10 states and the District of Columbia, we find consistent evidence for “racial mortality inversion” across time and place. Between 2015 and 2020, the aggregate White homeless mortality rate was 67.8%–138.4% higher than the rate for the Black homeless population. Inverted racial mortality rates were observed in all 20 localities and in nearly every year. Across the entire sample, higher average ages of death were also observed for Black people compared to White people experiencing homelessness in 5 of 6 years, though racial inversion in age was not consistent across localities. These findings offer novel insight into racial health disparities among people experiencing homelessness and may inform policies and programs that seek to prevent homelessness and homeless mortality across racial groups.

Abstract A003: Decomposing racial and ethnic disparities in endometrial cancer survival

Abstract Background: Black-White mortality disparities are well-established and continue to widen over time among women diagnosed with endometrial cancer (EC). Yet, few studies have explored the existence or sources of racial/ethnic disparities in EC survival among Hispanic, American Indian/Alaska Native (AI/AN), Asian, and Native-Hawaiian/Pacific Islander (NH/PI) women. EC survival disparities across racial and ethnic groups have been suggested to be linked to differences in sociodemographic, clinical, and access to care characteristics. We examined how these individual- and area-level factors influence the presence of racial/ethnic disparities among women with EC. Methods: Participants were diagnosed between 2004 and 2019 with stages 1A through 4B endometroid and non-endometroid EC in the National Cancer Database (NCDB). Race was categorized as non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, Asian, NH/PI, and AI/AN. We performed Oaxaca-Blinder decompositions of the log overall survival (OS) time assuming an accelerated failure time model with Weibull error, which decomposes observed differences in log survival time into parts potentially explained by differences in measured prognostic factors and differences not explained by measured variables. We examined the following classes of prognostic factors: age at diagnosis, zip code-level demographics (educational attainment, average income, and rurality), access to care (insurance status, facility type and location, treatment delay), Charlson comorbidity score, tumor characteristics (stage and histology), and guideline-concordant treatment (GCT). White women were the comparison group in all decompositions. Results: Compared with NHW women (N=121,069; estimated overall survival for average covariates values (eOS)=19.7 years) eOS was significantly shorter among NHB women (N=15,855; eOS=9.9 years); longer among Asian women (N=5,098; eOS=42.7 years); longer among Hispanic women (N=9,671; eOS=25.9 years); and not significantly different in NH/PI (N=536; eOS=24.8 years) or AI/AN women (N=551; eOS=17.0 years). Measured covariates explained 76.7% of the difference for NHB women (p<0.001); 19.7% for Asian women (p<0.001); and did not significantly explain the difference for Hispanic women (8.4%; p=0.14). Factors significantly contributing to the observed differences for NHB women were tumor characteristics (61.5%); access to care (6.6%); zip code-level demographics (5.1%); comorbidity (3.9%); age (-1.8%); and GCT (1.5%). Significant factors for Asian women were age (16.6%); tumor characteristics (-6.0%); zip code-level demographics (4.7%); access to care (3.0%); and comorbidity (1.6%). Significant factors for Hispanic women were age (45.2%); tumor characteristics (-17.9%); access to care (-13.4%); comorbidity (-2.0%); and GCT (-1.0%). Conclusions: Contributors to EC survival disparities vary by race/ethnicity and strongly implicate the need for research to identify how disparities arise to tailor interventions to reduce survival gaps. Citation Format: Jordyn A. Brown, Jennifer A. Sinnott, Ziyu Gao, Caitlin E. Meade, Macarius M. Donneyong, Tasleem J. Padamsee, Ashley S. Felix. Decomposing racial and ethnic disparities in endometrial cancer survival [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr A003.

Identifying Equitable Screening Mammography Strategies for Black Women in the United States Using Simulation Modeling.

Screening mammography guidelines do not explicitly consider racial differences in breast cancer epidemiology, treatment, and survival. To compare tradeoffs of screening strategies in Black women versus White women under current guidelines. An established model from the Cancer Intervention and Surveillance Modeling Network simulated screening outcomes using race-specific inputs for subtype distribution; breast density; mammography performance; age-, stage-, and subtype-specific treatment effects; and non-breast cancer mortality. United States. A 1980 U.S. birth cohort of Black and White women. Screening strategies until age 74 years with varying initiation ages and intervals. Outcomes included benefits (life-years gained [LYG], breast cancer deaths averted, and mortality reduction), harms (mammographies, false positives, and overdiagnoses), and benefit-harm ratios (tradeoffs) by race. Efficiency (benefits per unit resource), mortality disparity reduction, and equity in tradeoffs were evaluated. Equitable strategies for Black women were defined as those with tradeoffs closest to benchmark values for screening White women biennially from ages 50 to 74 years. Biennial screening from ages 45 to 74 years was most efficient for Black women, whereas biennial screening from ages 40 to 74 years was most equitable. Initiating screening 10 years earlier in Black versus White women reduced Black-White mortality disparities by 57% with similar LYG per mammogram for both populations. Selection of the most equitable strategy was sensitive to assumptions about disparities in real-world treatment effectiveness: The less effective treatment was for Black women, the more intensively Black women could be screened before tradeoffs fell short of those experienced by White women. Single model. Initiating biennial screening in Black women at age 40 years reduces breast cancer mortality disparities and yields benefit-harm ratios that are similar to tradeoffs of White women screened biennially from ages 50 to 74 years. National Cancer Institute at the National Institutes of Health.

Black-White disparities in maternal in-hospital mortality according to teaching and Black-serving hospital status

Maternal mortality is higher among Black than White people in the United States. Whether Black-White disparities in maternal in-hospital mortality during the delivery hospitalization vary across hospital types (Black-serving vs nonBlack-serving and teaching vs nonteaching) and whether overall maternal mortality differs across hospital types is not known. The aims of this study were to determine whether risk-adjusted Black-White disparities in maternal mortality during the delivery hospitalization vary by hospital types (this is analysis of disparities in mortality within hospital types) and compare risk-adjusted in-hospital maternal mortality among Black-serving and nonBlack-serving teaching and nonteaching hospitals regardless of race (this is an analysis of overall mortality across hospital types). We performed a population-based, retrospective cohort study of 5,679,044 deliveries among Black (14.2%) and White patients (85.8%) in 3 states (California, Missouri, and Pennsylvania) from 1995 to 2009. A hospital discharge disposition of "death" defined maternal in-hospital mortality. Black-serving hospitals had at least 7% Black obstetrical patients (top quartile). We performed risk adjustment by calculating expected death rates using predictions from logistic regression models incorporating sociodemographics, rurality, comorbidities, multiple gestations, gestational age at delivery, year, state, and mode of delivery. We calculated risk-adjusted risk ratios of mortality by comparing observed-to-expected ratios among Black and White patients within hospital types and then examined mortality across hospital types, regardless of patient race. We quantified the proportion of Black-White disparities in mortality attributable to delivering in Black-serving hospitals using causal mediation analysis. There were 330 maternal deaths among 5,679,044 patients (5.8 per 100,000). Black patients died more often (11.5 per 100,000) than White patients (4.8 per 100,000) (relative risk, 2.38; 95% confidence interval, 1.89-2.98). Examination of Black-White disparities revealed that after risk adjustment, Black patients had significantly greater risk of death (adjusted relative risk, 1.44; 95% confidence interval, 1.17-1.79) and that the disparity was similar within each of the hospital types. Comparison of mortality, regardless of race, across hospital types revealed that among teaching hospitals, mortality was similar in Black-serving and nonBlack-serving hospitals. However, among nonteaching hospitals, mortality was significantly higher in Black-serving vs nonBlack-serving hospitals (adjusted relative risk, 1.47; 95% confidence interval, 1.15-1.87). Notably, 53% of Black patients delivered in nonteaching, Black-serving hospitals compared with just 19% of White patients. Among nonteaching hospitals, 47% of Black-White disparities in maternal in-hospital mortality were attributable to delivering at Black-serving hospitals. Maternal in-hospital mortality during the delivery hospitalization among Black patients is more than double that of White patients. Our data suggest this disparity is caused by excess mortality among Black patients within each hospital type, in addition to excess mortality in nonteaching, Black-serving hospitals where most Black patients deliver. Addressing downstream effects of racism to achieve equity in maternal in-hospital mortality will require transparent reporting of quality metrics by race to reduce differential care and outcomes within hospital types, improvements in care delivery at Black-serving hospitals, overcoming barriers to accessing high-quality care among Black patients, and eventually desegregation of healthcare.

Black-White Breast Cancer Incidence Trends: Effects of Ethnicity.

Recent reports of converging black and white breast cancer incidence rates have gained much attention, potentially foreshadowing a worsening of the black-white breast cancer mortality disparity. However, these incidence rates also reflect the sum of non-Hispanics and Hispanics that may mask important ethnicity-specific trends. We therefore assessed race- and ethnicity-specific breast cancer trends using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) 13 Registries Database (1992-2014). Age-period-cohort models projected rates for 2015-2030. Results confirmed merging of age-standardized incidence rates for blacks and whites circa 2012, but not for non-Hispanic black (NHB) and non-Hispanic white (NHW) women. Incidence rates were highest for NHW women (n = 382 290), followed by NHB women (n = 51 074), and then Hispanic white women (n = 48 651). The sample size for Hispanic blacks was too small for analysis (n = 693). Notably, future incidence rates are expected to slowly increase (2015 through 2030) among NHW women (0.24% per year, 95% confidence interval [CI] = 0.17 to 0.32) and slowly decrease for NHB women (-0.14% per year, 95% CI = -0.15 to -0.13). A putative worsening of the black-white mortality disparity, therefore, seems unlikely. Ethnicity matters when assessing race-specific breast cancer incidence rates.

Black-White Disparities in Adult Mortality: Implications of Differential Record Linkage for Understanding the Mortality Crossover.

Mortality rates among black individuals exceed those of white individuals throughout much of the life course. The black-white disparity in mortality rates is widest in young adulthood, and then rates converge with increasing age until a crossover occurs at about age 85 years, after which black older adults exhibit a lower mortality rate relative to white older adults. Data quality issues in survey-linked mortality studies may hinder accurate estimation of this disparity and may even be responsible for the observed black-white mortality crossover, especially if the linkage of surveys to death records during mortality follow-up is less accurate for black older adults. This study assesses black-white differences in the linkage of the 1986-2009 National Health Interview Survey to the National Death Index through 2011 and the implications of racial/ethnic differences in record linkage for mortality disparity estimates. Match class and match score (i.e., indicators of linkage quality) differ by race/ethnicity, with black adults exhibiting less certain matches than white adults in all age groups. The magnitude of the black-white mortality disparity varies with alternative linkage scenarios, but convergence and crossover continue to be observed in each case. Beyond black-white differences in linkage quality, this study also identifies declines over time in linkage quality and even eligibility for linkage among all adults. Although linkage quality is lower among black adults than white adults, differential record linkage does not account for the black-white mortality crossover.

Distal, intermediate, and proximal mediators of racial disparities in renal disease mortality in the United States.

Background: Kidney failure and associated mortality is one of the major components of racial disparities in the United States. Objectives: The current study aimed to investigate the role of distal (socioeconomic status, SES), intermediate (chronic medical diseases), and proximal (health behaviors) factors that may explain Black-White disparities in mortality due to renal diseases. Patients and Methods: This is a nationally representative prospective cohort with 25 years of follow up. Data came from the Americans’ Changing Lives (ACL) study, 1986 to 2011. The study included 3361 Black (n = 1156) or White (n = 2205) adults who were followed for up to 25 years. Race was the main predictor and death due to renal disease was the outcome. SES, chronic medical disease (diabetes, hypertension, obesity), and health behaviors (smoking, drinking, and exercise) at baseline were potential mediators. We used Cox proportional hazards models for data analysis. Results: In age and gender adjusted models, Blacks had higher risk of death due to renal disease over the follow up period. Separate models suggested that SES, health behaviors and chronic medical disease fully explained the effect of race on renal disease mortality. Conclusions: Black-White disparities in rate of death due to renal diseases in the United States are not genuine but secondary to racial differences in income, health behaviors, hypertension, and diabetes. As distal, intermediate, and proximal factors contribute to racial disparities in renal disease mortality, elimination of such disparities requires a wide range of policies and programs that target income, medical conditions, and health behaviors.

The Contribution of Health Care and Other Interventions to Black-White Disparities in Life Expectancy, 1980-2007.

Black-white mortality disparities remain sizable in the United States. In this study, we use the concept of avoidable/amenable mortality to estimate cause-of-death contributions to the difference in life expectancy between whites and blacks by gender in the United States in 1980, 1993, and 2007. We begin with a review of the concept of "avoidable mortality" and results of prior studies using this cause-of-death classification. We then present the results of our empirical analyses. We classified causes of death as amenable to medical care, sensitive to public health policies and health behaviors, ischemic heart disease, suicide, HIV/AIDS, and all other causes combined. We used vital statistics data on deaths and Census Bureau population estimates and standard demographic decomposition techniques. In 2007, causes of death amenable to medical care continued to account for close to 2 years of the racial difference in life expectancy among men (2.08) and women (1.85). Causes amenable to public health interventions made a larger contribution to the racial difference in life expectancy among men (1.17 years) than women (0.08 years). The contribution of HIV/AIDS substantially widened the racial difference among both men (1.08 years) and women (0.42 years) in 1993, but its contribution declined over time. Despite progress observed over the time period studied, a substantial portion of black-white disparities in mortality could be reduced given more equitable access to medical care and health interventions.

Racial Disparities in the Treatment of Advanced Epithelial Ovarian Cancer

To examine whether treatment with guideline-recommended care (surgery and chemotherapy) is associated with mortality differences between black and white women with advanced epithelial ovarian cancer. We conducted an observational cohort study using the Surveillance, Epidemiology, and End Results (SEER) linked to Medicare claims for 1995-2007. We evaluated long-term survival for 4,695 black and white women with stage III or stage IV epithelial ovarian cancer with Kaplan-Meier analysis and Cox regression, and then in patients matched by propensity score to create two similar cohorts for comparison. We investigated the association between race, stage, and survival among women who were treated with guideline-recommended care and those who received incomplete treatment. Black women with advanced epithelial ovarian cancer were more likely to die than white women (unadjusted hazard ratio [HR] 1.27; 95% confidence interval [CI] 1.10-1.46). Black women were less likely than white women to receive guideline-recommended care (54% compared with 68%; P<.001), and women who did not receive recommended treatment had lower survival rates than women who received recommended care. Cox proportional hazards models demonstrated no differences in black women compared with white women regarding mortality among women who were treated with guideline-recommended care (adjusted HR 1.04; 95% CI 0.85-1.26), or among women who received incomplete treatment (adjusted HR 1.09; 95% CI 0.89-1.34). The survival analysis of patients matched by propensity score confirmed these analyses. Differences in rates of treatment with guideline-recommended care are associated with black-white mortality disparities among women with advanced epithelial ovarian cancer. III.

Abstract 3588: Treatment differences are associated with black-white disparities in advanced epithelial ovarian cancer

Abstract Background: Racial differences in survival for ovarian cancer are well documented. Previous research suggests that black-white mortality disparities are partially explained by more advanced disease among black women. Whether differences in receipt of guideline recommended care (including both surgery and chemotherapy) also explain mortality differences between black and white women with advanced epithelial ovarian cancer is not known. Methods: Using the Surveillance, Epidemiology, and End Results (SEER) linked to Medicare claims for 1997-2007, we identified a cohort of 4363 women age 65 and older with histologically confirmed stage III or IV epithelial ovarian cancer. We evaluated long-term survival for black and white women in the entire fee-for-service Medicare population, and then in patients matched by propensity score to create two similar cohorts for comparison with Kaplan-Meier analysis. We investigated the association between race, stage, and survival among women who received guideline recommended care and those who received incomplete care. Adjusted analyses were conducted using Cox modeling. Results: Overall, black women with advanced epithelial ovarian cancer were more likely to die than white women; unadjusted hazard ratio (HR):1.29 (95% confidence interval [CI]: 1.12-1.48). Black women were more likely than white women to present with stage 4 disease (40% vs. 32%, p=0.02) and comorbid conditions (55% vs. 36%, p&amp;lt;0.0001). Black women were less likely than white women to receive guideline recommended care (61% vs. 73%, p=0.0001) and women who received incomplete care had lower survival than women who received recommended care, unadjusted HR of 0.27 (95% CI: 0.25-0.29). In multivariable models including demographic factors, stage of disease, comorbidity, and extent of surgery, there was no racial difference in mortality among women who received guideline recommended care, HR for mortality for black women at 1.09 (95% CI: 0.90-1.13) or among women who received incomplete care, HR for black women at 1.15 (0.89-1.39). The survival analysis of patients matched by propensity score showed no difference between white and black women with recommended care (p=0.68) and no racial difference with incomplete care (p=0.87). Conclusions: Differences in receipt of guideline recommended care partially explain black-white mortality disparities among women with advanced epithelial ovarian cancer. Patients who receive incomplete treatment have worse prognosis. Our findings suggest a need to identify and rectify the cause for disparate treatment rates. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3588. doi:1538-7445.AM2012-3588

Leadership Matters

The activities that local health departments (LHDs) conduct and their workforce characteristics change over time. We know little, however, about how changes among the services LHDs conduct are associated with the nature of LHD leadership and how these factors impact health. This study investigated changes in LHD services and leadership and how these changes are associated with mortality disparities. We conducted regression analyses of secondary data using an exploratory panel time series design. We used secondary data to investigate changes in LHD services and leadership and how these changes were associated with each other and with 1993 to 2005 changes in black-white mortality disparities. Local health department services were examined relative to change in breadth of services within each of 10 program domains between 1993 and 2005. LHD leadership was examined for discipline of the lead executive in 1993 and 2005. Our sample included 558 county or multicounty "common local areas," representing county-level data for LHDs and their jurisdictions. Significant beneficial relationships exist between having a clinician as lead executive in an LHD and reductions in black-white mortality disparities. Local health departments with a clinician (usually a nurse or physician) as their lead executive in 1993 and/or 2005 experienced a significant decrease in black-white mortality disparities for young adults (age 15-44 years) in their jurisdictions from 1993 to 2005 when compared with LHDs with nonclinician leaders. The discipline of an LHD's lead executive as a clinician appears to have a significant relationship with the impact of LHD practice on reducing black-white mortality disparities. This study suggests that the discipline of an LHD's leadership may be an important factor to consider in relation to local public health capacity to impact health disparities. Further research related to the mechanisms at play in these relationships is warranted.

Allostatic Load Burden and Racial Disparities in Mortality

Black-white disparities in mortality persist after adjustment for socioeconomic status and health behaviors. We examined whether allostatic load, the physiological profile influenced by repeated or chronic life stressors, is associated with black-white mortality disparities independent of traditional sociobehavioral risk factors. We studied 4515 blacks and whites aged 35 to 64 years from the third National Health and Nutrition Examination Survey (1988-1994), using the linked mortality file, to ascertain participant deaths through 2006. We estimated unadjusted sex-specific black-white disparities in cardiovascular/diabetes-related mortality and noninjury mortality. We constructed baseline allostatic load scores based on 10 biomarkers and examined attenuation of mortality disparities in 4 sets of sex-stratified multivariate models, sequentially adding risk factors: (1) age/clinical conditions, (2) socioeconomic status (SES) variables, (3) health behaviors, and (4) allostatic load. Blacks had higher allostatic load scores than whites; for men, 2.5 vs 2.1, p < .01; and women, 2.6 vs 1.9, p < .01. For cardiovascular/diabetes-related mortality among women, the magnitude of the disparity after adjustment for other risk factors (hazard ratio [HR], 1.63; 95% confidence interval [CI], 0.96-2.75) decreased after adjustment for allostatic load (HR, 1.15; 95% CI, 0.70-1.88). For noninjury mortality among women, the magnitude of the disparity after adjustment for other risk factors (HR, 1.43; 95% CI, 1.00-2.04) also decreased after adjustment for allostatic load (HR, 1.26; 95% CI, 0.90-1.78). For men, disparities were attenuated but persisted after adjustment for allostatic load. Allostatic load burden partially explains higher mortality among blacks, independent of SES and health behaviors. These findings underscore the importance of chronic physiologic stressors as a negative influence on the health and lifespan of blacks in the United States.

Racial Disparities in Stage-Specific Colorectal Cancer Mortality Rates From 1985 to 2008

Since the early 1980s, colorectal cancer (CRC) mortality rates for whites and blacks in the United States have been diverging as a result of earlier and larger reductions in death rates for whites. We examined whether this mortality pattern varies by stage at diagnosis. The Incidence-Based Mortality database of the Surveillance, Epidemiology, and End Results (SEER) Program was used to examine data from the nine original SEER regions. Our main outcome measures were changes in stage-specific mortality rates by race. From 1985 to 1987 to 2006 to 2008, CRC mortality rates decreased for each stage in both blacks and whites, but for every stage, the decreases were smaller for blacks, particularly for distant-stage disease. For localized stage, mortality rates decreased 30.3% in whites compared with 13.2% in blacks; for regional stage, declines were 48.5% in whites compared with 34.0% in blacks; and for distant stage, declines were 32.6% in whites compared with 4.6% in blacks. As a result, the black-white rate ratios increased from 1.17 (95% CI, 0.98 to 1.39) to 1.41 (95% CI, 1.21 to 1.63) for localized disease, from 1.03 (95% CI, 0.93 to 1.14) to 1.30 (95% CI, 1.17 to 1.44) for regional disease, and from 1.21 (95% CI, 1.10 to 1.34) to 1.72 (95% CI, 1.58 to 1.86) for distant-stage disease. In absolute terms, the disparity in distant-stage mortality rates accounted for approximately 60% of the overall black-white mortality disparity. The black-white disparities in CRC mortality increased for each stage of the disease, but the overall disparity in overall mortality was largely driven by trends for late-stage disease. Concerted efforts to prevent or detect CRC at earlier stages in blacks could improve the worsening black- white disparities.

Local public health delivery of maternal child health services: are specific activities associated with reductions in Black-White mortality disparities?

To identify which MCH services delivered by local health departments (LHD) appear associated with reducing differences in Black-White mortality. We used a time-trend design to investigate relationships between change in MCH activities provided by LHDs in 1993 and in 2005 and changes in 1993-2005 Black-White mortality disparities. Secondary data were analyzed for 558 US counties and multi-county districts. Independent variables included the six MCH services provided by LHDs and captured in the 1993 and 2005 NACCHO Profile of Local Public Health Departments surveys. MCH service variables represented change in each service from 1993 to 2005. Control variables included selected LHD characteristics and county-level socioeconomic, demographic, and health provider resource data. Absolute change in Black and White mortality rates and changes in the mortality disparity "gap" between these rates in 1993 and 2005 were examined as dependent variables. Among the MCH services examined, prenatal care had a significant beneficial relationship with Black all-age mortality change and with reducing the mortality "gap." Family planning services had a beneficial relationship with reducing the mortality "gap" for females in the jurisdictions in the study sample. WIC services indicated the most consistently beneficial relationship with both Black mortality and White mortality change, but these changes did not influence the mortality "gap" during the study period. LHD delivery of family planning and prenatal care by LHDs appears related to reductions in Black-White mortality disparities. Implications of this study suggest the importance of certain MCH services for reducing Black-White mortality disparities.

RACE/ETHNICITY AND U.S. ADULT MORTALITY: Progress, Prospects, and New Analyses.

Although there have been significant decreases in U.S. mortality rates, racial/ethnic disparities persist. The goals of this study are to: (1) elucidate a conceptual framework for the study of racial/ethnic differences in U.S. adult mortality, (2) estimate current racial/ethnic differences in adult mortality, (3) examine empirically the extent to which measures of socioeconomic status and other risk factors impact the mortality differences across groups, and (4) utilize findings to inform the policy community with regard to eliminating racial/ethnic disparities in mortality. Relative Black-White differences are modestly narrower when compared to a decade or so ago, but remain very wide. The majority of the Black-White adult mortality gap can be accounted for by measures of socioeconomic resources that reflect the historical and continuing significance of racial socioeconomic stratification. Further, when controlling for socioeconomic resources, MexicanAmericans and Mexican immigrants exhibit significantly lower mortality risk than non-Hispanic Whites. Without aggressive efforts to create equality in socioeconomic and social resources, Black-White disparities in mortality will remain wide, and mortality among the Mexican-origin population will remain higher than what would be the case if that population achieved socioeconomic equality with Whites.

Increased Black-White disparities in mortality after the introduction of lifesaving innovations: a possible consequence of US federal laws.

We explored whether the introduction of 3 lifesaving innovations introduced between 1989 and 1996 increased, decreased, or had no effect on disparities in Black-White mortality in the United States through 2006. Centers for Disease Control and Prevention data were used to assess disease-, age-, gender-, and race-specific changes in mortality after the introduction of highly active anti-retroviral therapy (HAART) for treatment of HIV, surfactants for neonatal respiratory distress syndrome, and Medicare reimbursement of mammography screening for breast cancer. Disparities in Black-White mortality from HIV significantly increased after the introduction of HAART, surfactant therapy, and reimbursement for screening mammography. Between 1989 and 2006, these circumstances may have accounted for an estimated 22,441 potentially avoidable deaths among Blacks. These descriptive data contribute to the formulation of the hypothesis that federal laws promote increased disparities in Black-White mortality by inadvertently favoring Whites with respect to access to lifesaving innovations. Failure of legislation to address known social factors is a plausible explanation, at least in part, for the observed findings. Further research is necessary to test this hypothesis, including analytic epidemiological studies designed a priori to do so.

Black-White Mortality Disparities Increasing for Some Cancers

Black-White Mortality Disparities Increasing for Some Cancers

Racial Disparities in Mortality Among Adults Hospitalized After Injury

Injury is a major cause of death in adults. Although racial disparities in healthcare access and health outcomes are well documented for medical conditions, the influence of race on access to emergent care after injury has received little scrutiny. We sought to determine whether race was associated with risk of in-hospital death after injury. Data from the Healthcare Cost and Utilization Project (1998-2002) were used to estimate multivariate models of in-hospital mortality, controlling for age, race, gender, comorbid conditions, injury severity, primary payer, median income of zip code of residence, and hospital type. Additional multivariate models were estimated among stratified subsets of patients, including injury severity and hospital type. Patients age 18-64 with a primary diagnosis of injury. Relative to injured white patients, black and Asian patients had a higher risk of death [1.5% vs. 2.1% and 2.0%, multivariate odds ratios (OR) = 1.14 and 1.39]. Other racial/ethnic groups showed no significant mortality difference from white patients. In stratified analyses, we found large black-white mortality disparities among mild to moderately injured patients (OR = 1.40, 95% confidence interval: 1.18-1.66), whereas Asian-white disparities were concentrated among more severely injured patients (OR = 1.37, 95% confidence interval: 1.03-1.80). Black and Asian patients have a higher risk of death after injury than white patients. These data raise important questions about access to quality trauma care for racial minority patients.