Paths to health equity: Local area variation in progress toward eliminating breast cancer mortality disparities, 1990-2009

Trends in breast cancer mortality by race/ethnicity, age, and US census region, United States─1999-2020

BACKGROUND

Breast cancer remains a leading cause of morbidity and mortality among women in the United States. Previous analyses show that breast cancer incidence increased from 1999 to 2018. The purpose of this article is to examine trends in breast cancer mortality.

METHODS

Analysis of 1999 to 2020 mortality data from the Centers for Disease Control and Prevention, National Center for Health Statistics, among women by race/ethnicity, age, and US Census region.

RESULTS

It was found that overall breast cancer mortality is decreasing but varies by race/ethnicity, age group, and US Census region. The largest decrease in mortality was observed among non-Hispanic White women, women aged 45 to 64 years of age, and women living in the Northeast; whereas the smallest decrease in mortality was observed among non-Hispanic Asian or Pacific Islander women, women aged 65 years or older, and women living in the South.

CONCLUSION

This report provides national estimates of breast cancer mortality from 1999 to 2020 by race/ethnicity, age group, and US Census region. The decline in breast cancer mortality varies by demographic group. Disparities in breast cancer mortality have remained consistent over the past two decades. Using high-quality cancer surveillance data to estimate trends in breast cancer mortality may help health care professionals and public health prevention programs tailor screening and diagnostic interventions to address these disparities.

Breast Cancer in Black Women: Racial/Ethnic Disparities Affecting Survival

Breast cancer is the most common noncutaneous malignancy affecting women in the United States, with >245,000 cases diagnosed annually. Breast cancer mortality rates have continued to trend down in the past three decades, yet racial/ethnic disparities persist, with the worst mortality rates seen in Black women. Of note, when compared by race, this downward trend is also trailing in Black women. Survival after breast cancer is mainly driven by factors related to early detection and effective therapy. These factors can be grouped into "biological" such as age, genetic mutations, tumor characteristics; and "social" such as education, income, access to care. There have been studies attributing racial disparities solely to biological factors, and there are those attributing the disparities to social factors alone. Although the exact mechanism is unclear, a relationship between both factors as relates to racial disparities in breast cancer outcomes has been demonstrated. In this report, we review factors contributing to the increased morbidity and mortality for breast cancer in Black women and explore sociological relationships. Facing the worst poverty rates compared with other races, Black women are inevitably more likely to be uninsured, have limited access to quality education, and have fewer financial resources. The goal of this review was to elucidate the complex interplay between biological and social factors contributing to racial disparities in breast cancer outcomes. We conclude by emphasizing the need for interventions made at both local and national levels.

Breast cancer mortality as a function of age

Background: Incidence of breast cancer (BC) in US women continues to increase with age as the strongest risk factor. We aimed to compare clinical, pathological and sociological variables associated to BC diagnosis, as well as the relative mortality rates of BC patients compared to the general US population.

Methods: We performed a retrospective, single-institution study evaluating 52,509 patients diagnosed with unilateral BC at the University of Pittsburgh Medical Center (UPMC) between 1990–2020. Primary outcome was death from any cause with cancer recurrence as a secondary outcome, evaluated for 4 age groups: 20–44, 45–55, 56–69, and 70–90. A dataset of expected mortality for women in the general population over a 10-year period was constructed using the Surveillance, Epidemiology, and End Results (SEER) Program. Observed vs. expected mortality and standardized mortality ratios (SMR) for each age group were calculated.

Results: Youngest patients with BC demonstrated the highest SMR at 10-year follow-up from time of diagnosis compared to the general US population (SMR 9.68, 95% CI: 8.99to 10.42), and remained highest compared to other age groups when analysis was limited to Stage 0/1 disease (10-year SMR 3.11, 95% CI: 2.54 to 3.76). SMRs decreased with increasing age at diagnosis with an SMR <1.0 in patients diagnosed with stage 0/1 at ages 70–90 at 5-year follow-up.

Conclusions: Younger BC patients have the highest SMR which declines gradually with age. In the elderly, lower stage 0/1 SMR’s are found compared to the general population, suggesting the possibility of an associated protective effect.

Rural-Urban Differences in Breast Cancer Stage at Diagnosis

Purpose: To analyze the extent to which rural-urban differences in breast cancer stage at diagnosis are explained by factors including age, race, tumor grade, receptor status, and insurance status.

Methods: Using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) 18 database, analysis was performed using data from women aged 50–74 diagnosed with breast cancer between the years 2013 and 2016. Patient rurality of residence was coded according to SEER's Rural-Urban Continuum Code 2013: Large Urban (RUCC 1), Small Urban (RUCC 2,3), and Rural (RUCC 4,5,6,7,8,9). Stage at diagnosis was coded according to SEER's Combined Summary Stage 2000 (2004+) criteria: Localized (0,1), Regional (2,3,4,5), and Distant (7). Descriptive statistics were analyzed, and variations were tested for across rural-urban categories using Kruskall–Wallis and Kendall's tau-b tests. Additionally, odds ratios (ORs) and 95% confidence intervals for the three ordinal levels of rural-urban residence were calculated while adjusting for other independent variables using ordinal logistic regression.

Results: The rural residence category showed the largest proportion of women diagnosed with distant stage breast cancer. Additionally, we determined that patients with residence in both large and small urban areas had statistically significantly lower odds of higher stage diagnosis compared to rural patients even after controlling for age, race, tumor grade, receptor status, and insurance status.

Conclusions: Rural women with breast cancer show small but statistically significant disparities in stage-at-diagnosis. Further research is needed to understand local area variation in these disparities across a wide range of rural communities, and to identify the most effective interventions to eliminate these disparities.

Quantitative measures used in empirical evaluations of mental health policy implementation: A systematic review

Background

Mental health is a critical component of wellness. Public policies present an opportunity for large-scale mental health impact, but policy implementation is complex and can vary significantly across contexts, making it crucial to evaluate implementation. The objective of this study was to (1) identify quantitative measurement tools used to evaluate the implementation of public mental health policies; (2) describe implementation determinants and outcomes assessed in the measures; and (3) assess the pragmatic and psychometric quality of identified measures.

Method

Guided by the Consolidated Framework for Implementation Research, Policy Implementation Determinants Framework, and Implementation Outcomes Framework, we conducted a systematic review of peer-reviewed journal articles published in 1995-2020. Data extracted included study characteristics, measure development and testing, implementation determinants and outcomes, and measure quality using the Psychometric and Pragmatic Evidence Rating Scale.

Results

We identified 34 tools from 25 articles, which were designed for mental health policies or used to evaluate constructs that impact implementation. Many measures lacked information regarding measurement development and testing. The most assessed implementation determinants were readiness for implementation, which encompassed training (n  =  20, 57%) and other resources (n  =  12, 34%), actor relationships/networks (n  =  15, 43%), and organizational culture and climate (n  =  11, 31%). Fidelity was the most prevalent implementation outcome (n  =  9, 26%), followed by penetration (n  =  8, 23%) and acceptability (n  =  7, 20%). Apart from internal consistency and sample norms, psychometric properties were frequently unreported. Most measures were accessible and brief, though minimal information was provided regarding interpreting scores, handling missing data, or training needed to administer tools.

Conclusions

This work contributes to the nascent field of policy-focused implementation science by providing an overview of existing measurement tools used to evaluate mental health policy implementation and recommendations for measure development and refinement. To advance this field, more valid, reliable, and pragmatic measures are needed to evaluate policy implementation and close the policy-to-practice gap.

Plain Language Summary

Mental health is a critical component of wellness, and public policies present an opportunity to improve mental health on a large scale. Policy implementation is complex because it involves action by multiple entities at several levels of society. Policy implementation is also challenging because it can be impacted by many factors, such as political will, stakeholder relationships, and resources available for implementation. Because of these factors, implementation can vary between locations, such as states or countries. It is crucial to evaluate policy implementation, thus we conducted a systematic review to identify and evaluate the quality of measurement tools used in mental health policy implementation studies. Our search and screening procedures resulted in 34 measurement tools. We rated their quality to determine if these tools were practical to use and would yield consistent (i.e., reliable) and accurate (i.e., valid) data. These tools most frequently assessed whether implementing organizations complied with policy mandates and whether organizations had the training and other resources required to implement a policy. Though many were relatively brief and available at little-to-no cost, these findings highlight that more reliable, valid, and practical measurement tools are needed to assess and inform mental health policy implementation. Findings from this review can guide future efforts to select or develop policy implementation measures.

Measuring State-Level Racial Inequity in Severe Maternal Morbidity in the Medicaid Population

OBJECTIVE

Severe maternal morbidity represents a "near miss" mortality and is an important measure of quality and safety. Racial inequity in maternal morbidity is stark and the reasons for this disparity are poorly understood. We aimed to identify states achieving racial equity in maternal morbidity in order to identify policies that may promote racial equity.

METHODS

We analyzed Medicaid deliveries from 2008 to 2009 in a sample that included 28 states and the District of Columbia. This dataset included approximately 80% of all Medicaid enrollees and 90% of minority Medicaid enrollees in the US. We determined the Non-Hispanic Black/Non-Hispanic white SMMI rate ratio for each state and categorized the states into groups by rate ratio. We described demographic features of both the general population and study population for these groups of states.

RESULTS

In a sample that included a total of 1,489,134 births, we found that no state/district is achieving equity in severe maternal morbidity. The severe maternal morbidity rate is higher for Non-Hispanic Black than Non-Hispanic white patients in every state included. With a rate ratio ranging from 1.14 to 2.66, there are varying degrees of inequity. States in the group with the most equitable maternal morbidity rates had less inequity across racial subgroups with respect to educational attainment and poverty.

CONCLUSIONS

Identifying geographic areas with varying degrees of inequity may be key to identifying policies to promote equity. Socioecological disparities and inadequate access to care may be factors in racial inequity in maternal morbidity.

Examining the relationship between self-reported lifetime cancer diagnosis and nativity: findings from the National Health and Nutrition Examination Survey (NHANES) 2011-2018

PURPOSE

Cancer incidence in the USA remains higher among certain groups, regions, and communities, and there are variations based on nativity. Research has primarily focused on specific groups and types of cancer. This study expands on previous studies to explore the relationship between country of birth (nativity) and all cancer site incidences among USA and foreign-born residents using a nationally representative sample.

METHODS

This is a cross-sectional study of (unweighted n = 22,554; weighted n = 231,175,933) participants between the ages of 20 and 80 from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. Using weighted logistic regressions, we analyzed the impact of nativity on self-reported cancer diagnosis controlling for routine care, smoking status, overweight, race/ethnicity, age, and gender. We ran a partial model, adjusting only for age as a covariate, a full model with all other covariates, and stratified by race/ethnicity.

RESULTS

In the partial and full models, our findings indicate that US-born individuals were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.34, 95% CI [1.93; 2.84], p < 0.01) and (OR 1. 39, 95% CI [1.05; 1.84], p < 0.05), respectively. This significance persisted only among non-Hispanic Blacks when stratified by race. Non-Hispanic Blacks who were US-born were more likely to report a cancer diagnosis compared to their foreign-born counterparts (OR 2.30, 95% [CI 1.31; 4.02], p < 0.05).

CONCLUSION

A variety of factors may reflect lower self-reported cancer diagnosis in foreign-born individuals in the USA other than a healthy immigrant advantage. Future studies should consider the factors behind the differences in cancer diagnoses based on nativity status, particularly among non-Hispanic Blacks.

Finding "Bright Spots": Using Multiple Measures to Examine Local-Area Racial Equity in Cancer Mortality Outcomes

In this article, we present a variety of measures that quantify equity in cancer mortality outcomes, demonstrate how the measures perform with various cancer types, and identify counties, or "bright spots," that meet the criteria of those measures. Using county-level age-adjusted mortality rates for 2007-2016 from the National Center for Health Statistics, we identified counties that had both equitable and optimal outcomes for Black and White death rates across 5 types of cancer: cancers of the lung/bronchus, prostate, female breast, colorectum, and liver. The number of counties that met the criteria ranged from 0 to 442, depending on cancer type and measure used. Prostate cancer and male liver cancer consistently had the lowest number of "bright spots," with a maximum of 3 counties meeting the most lenient criteria. This paper presents several ways to examine equity, using rate ratios and standard error measures, in cancer mortality outcomes. It highlights areas with positive progress toward equity and areas with a potential need for equity-focused cancer-control planning. Examining local areas of positive deviance can inform cancer-control programming and planning around health equity.

A multilevel assessment of the social determinants associated with the late stage diagnosis of breast cancer

The advanced-stage diagnosis of breast cancer reveals the inequalities associated with socioeconomic conditions and the offer of health services. This study analyzes the prevalence of advanced breast cancer and its relationship with individual and contextual socioeconomic indicators and offer of health service. A cross-sectional study is presented herein, on the assessment of malignant breast neoplasms in women diagnosed between 2006 and 2015 (n = 195,201). Data were collected from the Hospital Cancer Registry (HCR), Atlas of Human Development in Brazil, and from the National Registry of Health Institutions (NRHI). A multilevel Poisson Regression was carried out with random intercept. The prevalence of advanced breast cancer diagnosis was 40.0%. Advanced staging was associated with younger age groups (PR 1.41), race/nonwhite (PR 1.13), lower education levels (PR 1.38), and public access to health services (PR 1.25). There was also an association with a low density of mammographic equipment (PR 1.08), and with low indices of local social inequality (PR 1.33) and human development (PR 0.80). This study maps and highlights the causes related to inequalities in the diagnosis of advanced breast cancer in Brazil, and presents essential data to reorient public policies and health-related actions to strengthen the control of breast cancer in Brazil.

Disparities in cancer mortality in Los Angeles County, 1999-2013: an analysis comparing trends in under-resourced and affluent regions

PURPOSE

While cancer mortality has declined by 27% between 1991 and 2016 in the United States, there are large disparities in cancer mortality by racial/ethnic groups, socioeconomic status and access to care. The purpose of this analysis is to compare trends in cancer mortality among regions (Service Planning Areas, SPAs) in Los Angeles (LA) County that vary with respect to racial/ethnic distribution and social determinants of health, including poverty, education and access to care.

METHODS

We estimated age- and race/ethnicity-standardized mortality for lung, colorectal (CRC) and breast cancer for eight SPAs from 1999 to 2013. We calculated three recommended measures of disparities that reflect absolute, relative and between-group disparities.

RESULTS

In all of LA County, statistically significant declines in age- and race/ethnicity-standardized mortality ranged from 30% for lung cancer to 20% for CRC to 15% for breast cancer. Despite some of the largest declines in the most under-resourced SPAs (South LA, East LA, South Bay), disparities between the lowest and highest mortality by SPA did not significantly change from 1999 to 2013.

CONCLUSIONS

Despite significant declines in cancer mortality in LA County from 1999 to 2013, and in racial/ethnic groups, there was little progress toward reducing disparities among SPAs. Highest mortalities for the three cancers were observed in Antelope Valley, San Fernando Valley, San Gabriel Valley, South LA and East LA. Findings demonstrate the importance of examining regional differences in cancer mortality to identify areas with highest needs for interventions and policies to reduce cancer disparities.

Estimating County-Level Mortality Rates Using Highly Censored Data From CDC WONDER

INTRODUCTION

CDC WONDER is a system developed to promote information-driven decision making and provide access to detailed public health information to the general public. Although CDC WONDER contains a wealth of data, any counts fewer than 10 are suppressed for confidentiality reasons, resulting in left-censored data. The objective of this analysis was to describe methods for the analysis of highly censored data.

METHODS

A substitution approach was compared with 1) a simple, nonspatial Bayesian model that smooths rates toward their statewide averages and 2) a more complex Bayesian model that accounts for spatial and between-age sources of dependence. Age group-specific county-level data on heart disease mortality were used for the comparisons.

RESULTS

Although the substitution and nonspatial approach provided age-standardized rate estimates that were more highly correlated with the true rate estimates, the estimates from the spatial Bayesian model provided a superior compromise between goodness-of-fit and model complexity, as measured by the deviance information criterion. In addition, the spatial Bayesian model provided rate estimates with greater precision than the nonspatial approach; in contrast, the substitution approach did not provide estimates of uncertainty.

CONCLUSION

Because of the ability to account for multiple sources of dependence and the flexibility to include covariate information, the use of spatial Bayesian models should be considered when analyzing highly censored data from CDC WONDER.

Applying a Health Equity Lens to Evaluate and Inform Policy

Health disparities have persisted despite decades of efforts to eliminate them at the national, regional, state and local levels. Policies have been a driving force in creating and exacerbating health disparities, but they can also play a major role in eliminating disparities. Research evidence and input from affected community-level stakeholders are critical components of evidence-based health policy that will advance health equity. The Transdisciplinary Collaborative Center (TCC) for Health Disparities Research at Morehouse School of Medicine consists of five subprojects focused on studying and informing health equity policy related to maternal-child health, mental health, health information technology, diabetes, and leadership/workforce development. This article describes a "health equity lens" as defined, operationalized and applied by the TCC to inform health policy development, implementation, and analysis. Prioritizing health equity in laws and organizational policies provides an upstream foundation for ensuring that the laws are implemented at the midstream and downstream levels to advance health equity.

Cancer statistics for African Americans, 2019

In the United States, African American/black individuals bear a disproportionate share of the cancer burden, having the highest death rate and the lowest survival rate of any racial or ethnic group for most cancers. To monitor progress in reducing these inequalities, every 3 years the American Cancer Society provides the estimated number of new cancer cases and deaths for blacks in the United States and the most recent data on cancer incidence, mortality, survival, screening, and risk factors using data from the National Cancer Institute, the North American Association of Central Cancer Registries, and the National Center for Health Statistics. In 2019, approximately 202,260 new cases of cancer and 73,030 cancer deaths are expected to occur among blacks in the United States. During 2006 through 2015, the overall cancer incidence rate decreased faster in black men than in white men (2.4% vs 1.7% per year), largely due to the more rapid decline in lung cancer. In contrast, the overall cancer incidence rate was stable in black women (compared with a slight increase in white women), reflecting increasing rates for cancers of the breast, uterine corpus, and pancreas juxtaposed with declining trends for cancers of the lung and colorectum. Overall cancer death rates declined faster in blacks than whites among both males (2.6% vs 1.6% per year) and females (1.5% vs 1.3% per year), largely driven by greater declines for cancers of the lung, colorectum, and prostate. Consequently, the excess risk of overall cancer death in blacks compared with whites dropped from 47% in 1990 to 19% in 2016 in men and from 19% in 1990 to 13% in 2016 in women. Moreover, the black-white cancer disparity has been nearly eliminated in men <50 years and women ≥70 years. Twenty-five years of continuous declines in the cancer death rate among black individuals translates to more than 462,000 fewer cancer deaths. Continued progress in reducing disparities will require expanding access to high-quality prevention, early detection, and treatment for all Americans.

Alcohol and Tobacco Use in an Ethnically Diverse Sample of Breast Cancer Patients, Including Sea Island African Americans: Implications for Survivorship

Background/Objective: Data suggest that modifiable risk factors such as alcohol and tobacco use may increase the risk of breast cancer (BC) recurrence and reduce survival. Female BC mortality in South Carolina is 40% higher among African Americans (AAs) than European Americans (EAs). Given this substantial racial disparity, using a cross-sectional survey design we examined alcohol and tobacco use in an ethnically diverse statewide study of women with recently diagnosed invasive breast cancer. This included a unique South Carolina AA subpopulation, the Sea Islanders (SI), culturally isolated and with the lowest European American genetic admixture of any AA group.

Methods: Participants (42 EAs, 66 non-SI AAs, 29 SIs), diagnosed between August 2011 and December 2012, were identified through the South Carolina Central Cancer Registry and interviewed by telephone within 21 months of diagnosis. Self-reported educational status, alcohol consumption and tobacco use were obtained using elements of the Behavior and Risk Factor Surveillance System questionnaire.

Results:Alcohol: EAs were approximately twice as likely to consume alcohol (40%) and to be moderate drinkers (29%) than either AA group (consumers: 24% of non-SI AAs, 21% of SIs; moderate drinkers 15 and 10% respectively). Users tended to be younger, significantly among EAs and non-SI AAs, but not SIs, and to have attained more education. Heavy drinking was rare (≤1%) and binge drinking uncommon (≤10%) with no differences by race/ethnicity. Among both AA subgroups but not EAs, alcohol users were six to nine times more likely to have late stage disease (Regional or Distant), statistically significant but with wide confidence intervals. Tobacco: Current cigarette smoking (daily or occasional) was reported by 14% of EAs, 14% of non-SI AAs and 7% of SIs. Smoking was inversely associated with educational attainment. Use of both alcohol and cigarettes was reported by 3–6% of cases.

Conclusions: Prevalences of alcohol and cigarette use were similar to those in the general population, with alcohol consumption more common among EAs. Up to half of cases used alcohol and/or tobacco. Given the risks from alcohol for disease recurrence, and implications of smoking for various health outcomes, these utilization rates are of concern.

Using spatiotemporal models to generate synthetic data for public use

When agencies release public-use data, they must be cognizant of the potential risk of disclosure associated with making their data publicly available. This issue is particularly pertinent in disease mapping, where small counts pose both inferential challenges and potential disclosure risks. While the small area estimation, disease mapping, and statistical disclosure limitation literatures are individually robust, there have been few intersections between them. Here, we formally propose the use of spatiotemporal data analysis methods to generate synthetic data for public use. Specifically, we analyze ten years of county-level heart disease death counts for multiple age-groups using a Bayesian model that accounts for dependence spatially, temporally, and between age-groups; generating synthetic data from the resulting posterior predictive distribution will preserve these dependencies. After demonstrating the synthetic data's privacy-preserving features, we illustrate their utility by comparing estimates of urban/rural disparities from the synthetic data to those from data with small counts suppressed.

Pockets of progress amidst persistent racial disparities in low birthweight rates

Racial disparities persist in adverse perinatal outcomes such as preterm birth, low birthweight (LBW), and infant mortality across the U.S. Although pervasive, these disparities are not universal. Some communities have experienced significant improvements in black (or African American) birth outcomes, both in absolute rates and in rate ratios relative to whites. This study assessed county-level progress on trends in black and white LBW rates as an indicator of progress toward more equal birth outcomes for black infants. County-level LBW data were obtained from the 2003 to 2013 U.S. Natality files. Black LBW rates, black-white rate ratios and percent differences over time were calculated. Trend lines were first assessed for significant differences in slope (i.e., converging, diverging, or parallel trend lines). For counties with parallel trend lines, intercepts were tested for statistically significant differences (sustained equality vs. persistent disparities). To assess progress, black LBW rates were compared to white LBW rates, and the trend lines were tested for significant decline. Each county's progress toward black-white equality was ultimately categorized into five possible trend patterns (n = 408): (1) converging LBW rates with reductions in the black LBW rate (decreasing disparities, n = 4, 1%); (2) converging LBW rates due to worsening white LBW rates (n = 5, 1%); (3) diverging LBW rates (increasing disparities, n = 9, 2%); (4) parallel LBW rates (persistent disparities, n = 373, 91%); and (5) overlapping trend lines (sustained equality, n = 18, 4%). Only four counties demonstrated improvement toward equality with decreasing black LBW rates. There is significant county-level variation in progress toward racial equality in adverse birth outcomes such as low birthweight. Still, some communities are demonstrating that more equitable outcomes are possible. Further research is needed in these positive exemplar communities to identify what works in accelerating progress toward more equal birth outcomes.

Literature review of data-based models for identification of factors associated with racial disparities in breast cancer mortality

In the United States, early detection methods have contributed to the reduction of overall breast cancer mortality but this pattern has not been observed uniformly across all racial groups. A vast body of research literature shows a set of health care, socio-economic, biological, physical, and behavioural factors influencing the mortality disparity. In this paper, we review the modelling frameworks, statistical tests, and databases used in understanding influential factors, and we discuss the factors documented in the modelling literature. Our findings suggest that disparities research relies on conventional modelling and statistical tools for quantitative analysis, and there exist opportunities to implement data-based modelling frameworks for (1) exploring mechanisms triggering disparities, (2) increasing the collection of behavioural data, and (3) monitoring factors associated with the mortality disparity across time.

Breast cancer statistics, 2017, racial disparity in mortality by state

In this article, the American Cancer Society provides an overview of female breast cancer statistics in the United States, including data on incidence, mortality, survival, and screening. Approximately 252,710 new cases of invasive breast cancer and 40,610 breast cancer deaths are expected to occur among US women in 2017. From 2005 to 2014, overall breast cancer incidence rates increased among Asian/Pacific Islander (1.7% per year), non-Hispanic black (NHB) (0.4% per year), and Hispanic (0.3% per year) women but were stable in non-Hispanic white (NHW) and American Indian/Alaska Native (AI/AN) women. The increasing trends were driven by increases in hormone receptor-positive breast cancer, which increased among all racial/ethnic groups, whereas rates of hormone receptor-negative breast cancers decreased. From 1989 to 2015, breast cancer death rates decreased by 39%, which translates to 322,600 averted breast cancer deaths in the United States. During 2006 to 2015, death rates decreased in all racial/ethnic groups, including AI/ANs. However, NHB women continued to have higher breast cancer death rates than NHW women, with rates 39% higher (mortality rate ratio [MRR], 1.39; 95% confidence interval [CI], 1.35-1.43) in NHB women in 2015, although the disparity has ceased to widen since 2011. By state, excess death rates in black women ranged from 20% in Nevada (MRR, 1.20; 95% CI, 1.01-1.42) to 66% in Louisiana (MRR, 1.66; 95% CI, 1.54, 1.79). Notably, breast cancer death rates were not significantly different in NHB and NHW women in 7 states, perhaps reflecting an elimination of disparities and/or a lack of statistical power. Improving access to care for all populations could eliminate the racial disparity in breast cancer mortality and accelerate the reduction in deaths from this malignancy nationwide. CA Cancer J Clin 2017;67:439-448. © 2017 American Cancer Society.

Developing a framework for integrating health equity into the learning health system

While there have been gains in the overall quality of health care, racial and ethnic disparities in health outcomes continue to persist in the United States. The Learning Health System (LHS) has the potential to significantly improve health care quality using patient-centered design, data analytics, and continuous improvement. To ensure that health disparities are also being addressed, targeted approaches must be used. This document sets forth a practical framework to incorporate health equity into a developing LHS. Using a case study approach, the framework is applied to 2 projects focused on the reduction of health disparities to highlight its application.

State-Level Progress in Reducing the Black-White Infant Mortality Gap, United States, 1999-2013

OBJECTIVES

To assess state-level progress on eliminating racial disparities in infant mortality.

METHODS

Using linked infant birth-death files from 1999 to 2013, we calculated state-level 3-year rolling average infant mortality rates (IMRs) and Black-White IMR ratios. We also calculated percentage improvement and a projected year for achieving equality if current trend lines are sustained.

RESULTS

We found substantial state-level variation in Black IMRs (range = 6.6-13.8) and Black-White rate ratios (1.5-2.7), and also in percentage relative improvement in IMR (range = 2.7% to 36.5% improvement) and in Black-White rate ratios (from 11.7% relative worsening to 24.0% improvement). Thirteen states achieved statistically significant reductions in Black-White IMR disparities. Eliminating the Black-White IMR gap would have saved 64 876 babies during these 15 years. Eighteen states would achieve IMR racial equality by the year 2050 if current trends are sustained.

CONCLUSIONS

States are achieving varying levels of progress in reducing Black infant mortality and Black-White IMR disparities. Public Health Implications. Racial equality in infant survival is achievable, but will require shifting our focus to determinants of progress and strategies for success.

Perspective: Hope for Health Equity

Times like these test the soul. We are now working for health equity in a time of overt, aggressive opposition. Yet, hope in the face of overwhelming obstacles is the force that has driven most of the world's progress toward equity and justice. Operationalizing real-world hope requires an affirmative vision, an expectation of success, broad coalitions taking action cohesively, and frequent measures of collective impact to drive rapid-cycle improvement.

Geographic patterns of change over time in mammography: Differences between Black and White U.S. Medicare enrollees

U.S. Black women have higher breast cancer mortality compared to White women while their rate of ever having a mammogram has become equal to or slightly surpassed that of Whites. We mapped the distribution of change in screening mammography for Black and White female Medicare enrollees ages 67-69 from 2008 to 2012 by hospital referral region across the contiguous U.S., performed cluster analysis to assess spatial autocorrelation, and examined the screening differences between these groups in 2008 and 2012 respectively. Changes in screening mammography are not consistent across the U.S.: Black and White women have increased and decreased their use of mammography in different regions and Black women's change patterns vary more widely.

Patterns and Trends in Age-Specific Black-White Differences in Breast Cancer Incidence and Mortality - United States, 1999-2014

Breast cancer continues to be the most commonly diagnosed cancer and the second leading cause of cancer deaths among U.S. women (1). Compared with white women, black women historically have had lower rates of breast cancer incidence and, beginning in the 1980s, higher death rates (1). This report examines age-specific black-white disparities in breast cancer incidence during 1999-2013 and mortality during 2000-2014 in the United States using data from United States Cancer Statistics (USCS) (2). Overall rates of breast cancer incidence were similar, but death rates remained higher for black women compared with white women. During 1999-2013, breast cancer incidence decreased among white women but increased slightly among black women resulting in a similar average incidence at the end of the period. Breast cancer incidence trends differed by race and age, particularly from 1999 to 2004-2005, when rates decreased only among white women aged ≥50 years. Breast cancer death rates decreased significantly during 2000-2014, regardless of age with patterns varying by race. For women aged ≥50 years, death rates declined significantly faster among white women compared with black women; among women aged <50 years, breast cancer death rates decreased at the same rate among black and white women. Although some of molecular factors that lead to more aggressive breast cancer are known, a fuller understanding of the exact mechanisms might lead to more tailored interventions that could decrease mortality disparities. When combined with population-based approaches to increase knowledge of family history of cancer, increase physical activity, promote a healthy diet to maintain a healthy bodyweight, and increase screening for breast cancer, targeted treatment interventions could reduce racial disparities in breast cancer.

Prevalence and Factors Associated With Statin Use Among a Nationally Representative Sample of US Adults: National Health and Nutrition Examination Survey, 2011-2012

The 2013 American College of Cardiology/American Heart Association guidelines recommend statins for adults age ≤75 years who have clinical atherosclerotic cardiovascular disease (IA) and adults age 40 to 75 years with diabetes mellitus and LDL-C 70-189 mg/dl (IA). Our aim was to estimate the prevalence and likelihood of statin use among selected statin benefit groups. Using data from the National Health and Nutrition Examination Survey (NHANES) 2011-2012, we examined 5319 adults age ≥20 years. We estimated weighted frequencies and prevalence of statin use for adults with diabetes mellitus and dyslipidemia (or low-density lipoprotein cholesterol ≥70 mg/dL), defined as statin benefit group 1 (SBG1); and for adults with atherosclerotic cardiovascular disease, defined as statin benefit group 2 (SBG2). We constructed a logistic regression model to estimate odds of statin use in SBG1. Overall, an estimated 38.6 million Americans are on a statin. In adjusted models, uninsured and Hispanic adults were less likely to be on a statin compared with white adults; 59.5% (95% confidence interval [CI]: 53.0-66.1) of all adults in SBG1, 58.8% (95% CI: 51.5-66.1) of adults age 40 to 75 in SBG1, and 63.5% (95% CI: 55.6-71.4) of all adults in SBG2 were on a statin. Although the prevalence of statin use has increased over time, Hispanic ethnicity and lack of insurance remain barriers to statin use. Black-white racial disparities were not significant. Our study provides a baseline estimate of statin use in the noninstitutionalized population just prior to introduction of the new guidelines and provides a reference for evaluating the impact of the new guidelines on statin utilization.

Disparities in Use of Human Epidermal Growth Hormone Receptor 2-Targeted Therapy for Early-Stage Breast Cancer

PURPOSE

Trastuzumab is a key component of adjuvant therapy for stage I to III human epidermal growth factor receptor 2 (HER2)-positive breast cancer. The rates and patterns of trastuzumab use have never been described in a population-based sample. The recent addition of HER2 information to the SEER-Medicare database offers an opportunity to examine patterns of trastuzumab use and to evaluate possible disparities in receipt of trastuzumab.

METHODS

We examined a national cohort of Medicare beneficiaries with incident stage I to III HER2-positive breast cancer diagnosed in 2010 and 2011 (n = 1,362). We used insurance claims data to track any use of trastuzumab in the 12 months after diagnosis as well as to identify chemotherapy drugs used in partnership with trastuzumab. We used modified Poisson regression analysis to evaluate the independent effect of race on likelihood of receiving trastuzumab by controlling for clinical need, comorbidity, and community-level socioeconomic status.

RESULTS

Overall, 50% of white women and 40% of black women received some trastuzumab therapy. Among women with stage III disease, 74% of whites and 56% of blacks received trastuzumab. After adjustment for tumor characteristics, poverty, and comorbidity, black women were 25% less likely to receive trastuzumab within 1 year of diagnosis than white women (risk ratio, 0.745; 95% CI, 0.60 to 0.93).

CONCLUSION

Approxemately one half of patients 65 years of age and older with stage I to III breast cancer do not receive trastuzumab-based therapy, which includes many with locally advanced disease. Significant racial disparities exist in the receipt of this highly effective therapy. Further research that identifies barriers to use and increases uptake of trastuzumab could potentially improve recurrence and survival outcomes in this population, particularly among minority women.

Counties eliminating racial disparities in colorectal cancer mortality

BACKGROUND

Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends.

METHODS

The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county.

RESULTS

Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns.

CONCLUSIONS

County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society.