Lack of validity of self-reported mammography data.

This qualitative literature review aimed to describe the totality of peer-reviewed scientific evidence from 1990 to 2017 concerning validity of self-reported mammography. This review included articles about mammography containing the words accuracy, validity, specificity, sensitivity, reliability or reproducibility; titles containing self-report, recall or patient reports, and breast or 'mammo'; and references of identified citations focusing on evaluation of 2-year self-reports. Of 45 publications meeting the eligibility criteria, 2 conducted in 1993 and 1995 at health maintenance organisations in Western USA which primarily served highly educated whites provided support for self-reports of mammography over 2 years. Methodological concerns about validity of self-reports included (1) telescoping, (2) biased overestimates particularly among black women, (3) failure to distinguish screening and diagnostic mammography, and (4) failure to address episodic versus consistent mammography use. The current totality of evidence supports the need for research to reconsider the validity of self-reported mammography data as well as the feasibility of alternative surveillance data sources to achieve the goals of the Healthy People Initiative.

Neighbourhood deprivation and lung cancer risk: a nested case-control study in the USA.

OBJECTIVES: To examine the association between neighbourhood deprivation and lung cancer risk. DESIGN: Nested case-control study. SETTING: Southern Community Cohort Study of persons residing in 12 states in the southeastern USA. PARTICIPANTS: 1334 cases of lung cancer and 5315 controls. PRIMARY OUTCOME MEASURE: Risk of lung cancer. RESULTS: After adjustment for smoking status and other confounders, and additional adjustment for individual-level measures of socioeconomic status (SES), there was no monotonic increase in risk with worsening deprivation score overall or within sex and race groups. There was an increase among current and shorter term former smokers (p=0.04) but not among never and longer term former smokers. There was evidence of statistically significant interaction by sex among whites, but not blacks, in which the effect of worsening deprivation on lung cancer existed in males but not in females. CONCLUSIONS: Area-level measures of SES were associated with lung cancer risk in current and shorter term former smokers only in this population.

A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses.

STATEMENT OF THE PROBLEM: Obesity is both multifactorial and multimodal, making it difficult to identify, unravel and distinguish causative and contributing factors. The lack of a clear model of aetiology hampers the design and evaluation of interventions to prevent and reduce obesity. METHODS: Using modern graph-theoretical algorithms, we are able to coalesce and analyse thousands of inter-dependent variables and interpret their putative relationships to obesity. Our modelling is different from traditional approaches; we make no a priori assumptions about the population, and model instead based on the actual characteristics of a population. Paracliques, noise-resistant collections of highly-correlated variables, are differentially distilled from data taken over counties associated with low versus high obesity rates. Factor analysis is then applied and a model is developed. RESULTS AND CONCLUSIONS: Latent variables concentrated around social deprivation, community infrastructure and climate, and especially heat stress were connected to obesity. Infrastructure, environment and community organisation differed in counties with low versus high obesity rates. Clear connections of community infrastructure with obesity in our results lead us to conclude that community level interventions are critical. This effort suggests that it might be useful to study and plan interventions around community organisation and structure, rather than just the individual, to combat the nation's obesity epidemic.

Time from Screening Mammography to Biopsy and from Biopsy to Breast Cancer Treatment among Black and White, Women Medicare Beneficiaries Not Participating in a Health Maintenance Organization.

PURPOSE: There is a breast cancer mortality gap adversely affecting Black women in the United States. This study assessed the relationship between number of days between abnormal mammogram, biopsy, and treatment among Medicare (Part B) beneficiaries ages 65 to 74 and 75 to 84 years, accounting for race and comorbidity. METHODS: A cohort of non-Hispanic Black and non-Hispanic White women residing in the continental United States and receiving no services from a health maintenance organization was randomly selected from the Center for Medicare and Medicaid Services denominator file. The cohort was followed from 2005 to 2008 using Center for Medicare and Medicaid Services claims data. The sample included 4,476 women (weighted n = 70,731) with a diagnosis of breast cancer. Cox proportional hazard modeling was used to identify predictors of waiting times. FINDINGS: Black women had a mean of 16.7 more days between biopsy and treatment (p < .001) and 15.7 more days from mammogram to treatment (p = .003) than White women. Median duration from abnormal mammogram to treatment exceeded National Quality Measures for Breast Centers medians regardless of race, age, or number of comorbidities (overall 43 days vs. the National Quality Measures for Breast Centers value of 28 days). CONCLUSIONS: Medical care delays may contribute, in part, to the widening breast cancer mortality gap between Black women and White women. Further study, with additional clinical and social information, is needed to broaden scientific understanding of racial determinants and assess the clinical significance of mammogram to treatment times among Medicare beneficiaries.

Resident Physicians and Cancer Health Disparities: a Survey of Attitudes, Knowledge, and Practice.

Workforce development initiatives designed to mitigate cancer health disparities focus primarily on oncologists rather than on primary care providers (PCPs) who could be better positioned to address the issue at the preventive and community levels. The purpose of this project was to assess primary care resident physicians' self-perceived attitudes and comfort level in addressing cancer health disparities. Resident physicians in their first- through third-year of training in family, internal, preventive/occupational medicine, and obstetrics and gynecology (OB/GYN) at three academic centers responded to a 13-question survey in the spring of 2013. Descriptive and chi-square statistics were performed to analyze responses to (1) attitudes about cross-cultural communication and understanding, (2) knowledge about sources of cancer health disparities, (3) self-reported preparedness to provide cross-cultural cancer care and skills to manage specific situations, and (4) relevance of cancer-disparity education to clinical practice. A total of 78 (70.9 %) residents responded to the survey. Twenty three (29.5 %) of the respondents felt they did not understand the socio-demographic characteristics of their patients' communities, and 20 (25.6 %) did not feel capable of discussing current cancer-related care guidelines when the patients' personal beliefs conflict with their own. Few of the relationships between residency program and location with outcome measures met the criteria for statistical significance. Family medicine residents were the most likely to report in that it was hard to interact with persons from other cultures. As PCPs will play a key role in addressing cancer health disparities, effective educational opportunities in cancer care by primary care residents are warranted.

Mammography Screening Among the Elderly: A Research Challenge.

BACKGROUND: Randomized trials demonstrate clear benefits of mammography screening in women through age 74 years. We explored age- and race-specific rates of mammography screening and breast cancer mortality among women aged 69 to 84 years. METHODS: We analyzed Medicare claims data for women residing within Surveillance, Epidemiology and End Results geographic areas from 1995 to 2009 from 64,384 non-Hispanic women (4886 black and 59,498 white) and ascertained all primary breast cancer cases diagnosed between ages 69 and 84 years. The exposure was annual or biennial screening mammography during the 4 years immediately preceding diagnosis. The outcome was breast cancer mortality during the 10 years immediately after diagnosis. RESULTS: After adjustment for stage at diagnosis, radiation therapy, chemotherapy, comorbid conditions, and contextual socioeconomic status, hazard ratios (and 95% confidence intervals) for breast cancer mortality relative to no/irregular mammography at 10 years for women aged 69 to 84 years at diagnosis were 0.31 (0.29-0.33) for annual mammography and 0.47 (0.44-0.51) for biennial mammography among whites and 0.36 (0.29-0.44) for annual mammography and 0.47 (0.37-0.58) for biennial mammography among blacks. Trends were similar at 5 years overall and stratified by ages 69 to 74 years, 75 to 78 years, and 79 to 84 years. CONCLUSIONS: In these Medicare claims and Surveillance, Epidemiology and End Results data, elderly non-Hispanic women who self-selected for annual mammography had lower 10-year breast cancer mortality than corresponding women who self-selected for biennial or no/irregular mammography. These findings were similar among black and white women. The data highlight the evidentiary limitations of data used for current screening mammography recommendations.

Exploration of preterm birth rates using the public health exposome database and computational analysis methods.

Recent advances in informatics technology has made it possible to integrate, manipulate, and analyze variables from a wide range of scientific disciplines allowing for the examination of complex social problems such as health disparities. This study used 589 county-level variables to identify and compare geographical variation of high and low preterm birth rates. Data were collected from a number of publically available sources, bringing together natality outcomes with attributes of the natural, built, social, and policy environments. Singleton early premature county birth rate, in counties with population size over 100,000 persons provided the dependent variable. Graph theoretical techniques were used to identify a wide range of predictor variables from various domains, including black proportion, obesity and diabetes, sexually transmitted infection rates, mother's age, income, marriage rates, pollution and temperature among others. Dense subgraphs (paracliques) representing groups of highly correlated variables were resolved into latent factors, which were then used to build a regression model explaining prematurity (R-squared = 76.7%). Two lists of counties with large positive and large negative residuals, indicating unusual prematurity rates given their circumstances, may serve as a starting point for ways to intervene and reduce health disparities for preterm births.

The public health exposome: a population-based, exposure science approach to health disparities research.

The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures "get under the skin". The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training.

Social determinants and the classification of disease: descriptive epidemiology of selected socially mediated disease constellations.

BACKGROUND: Most major diseases have important social determinants. In this context, classification of disease based on etiologic or anatomic criteria may be neither mutually exclusive nor optimal. METHODS AND FINDINGS: Units of analysis comprised large metropolitan central and fringe metropolitan counties with reliable mortality rates--(n = 416). Participants included infants and adults ages 25 to 64 years with selected causes of death (1999 to 2006). Exposures included that residential segregation and race-specific social deprivation variables. Main outcome measures were obtained via principal components analyses with an orthogonal rotation to identify a common factor. To discern whether the common factor was socially mediated, negative binomial multiple regression models were developed for which the dependent variable was the common factor. Results showed that infant deaths, mortality from assault, and malignant neoplasm of the trachea, bronchus and lung formed a common factor for race-gender groups (black/white and men/women). Regression analyses showed statistically significant, positive associations between low socio-economic status for all race-gender groups and this common factor. CONCLUSIONS: Between 1999 and 2006, deaths classified as "assault" and "lung cancer", as well as "infant mortality" formed a socially mediated factor detectable in population but not individual data. Despite limitations related to death certificate data, the results contribute important information to the formulation of several hypotheses: (a) disease classifications based on anatomic or etiologic criteria fail to account for social determinants; (b) social forces produce demographically and possibly geographically distinct population-based disease constellations; and (c) the individual components of population-based disease constellations (e.g., lung cancer) are phenotypically comparable from one population to another but genotypically different, in part, because of socially mediated epigenetic variations. Additional research may produce new taxonomies that unify social determinants with anatomic and/or etiologic determinants. This may lead to improved medical management of individuals and populations.

Scalable combinatorial tools for health disparities research.

Despite staggering investments made in unraveling the human genome, current estimates suggest that as much as 90% of the variance in cancer and chronic diseases can be attributed to factors outside an individual's genetic endowment, particularly to environmental exposures experienced across his or her life course. New analytical approaches are clearly required as investigators turn to complicated systems theory and ecological, place-based and life-history perspectives in order to understand more clearly the relationships between social determinants, environmental exposures and health disparities. While traditional data analysis techniques remain foundational to health disparities research, they are easily overwhelmed by the ever-increasing size and heterogeneity of available data needed to illuminate latent gene x environment interactions. This has prompted the adaptation and application of scalable combinatorial methods, many from genome science research, to the study of population health. Most of these powerful tools are algorithmically sophisticated, highly automated and mathematically abstract. Their utility motivates the main theme of this paper, which is to describe real applications of innovative transdisciplinary models and analyses in an effort to help move the research community closer toward identifying the causal mechanisms and associated environmental contexts underlying health disparities. The public health exposome is used as a contemporary focus for addressing the complex nature of this subject.

Demographic and geographic variations in breast cancer mortality among U.S. Hispanics.

This paper examines demographic and geographic differences in breast cancer mortality (1999 to 2009) between U.S. Hispanic and non-Hispanic women from different racial groups. Data were publically available from the U.S. Centers for Disease Control and Prevention (CDC). Four racial groups are included: American Indian/Alaska Natives, Asian/Pacific Islanders, Blacks/African Americans, and Whites. Age-adjusted rates were obtained for women ages 35-64 and 65 years and older. Hispanic mortality was generally lower than non-Hispanic mortality regardless of age, race, Census Region, State, or county. The lone exception was Hispanic Asian/Pacific Islanders residing in Hawaii. Despite generally lower rates, there was considerable variation in Hispanic breast cancer mortality within the country. Poverty, percentage of renters, and educational attainment were important explanatory factors. Analytic epidemiologic studies might explain social, cultural, and other reasons for the observed geographic variations. Such studies, in turn, could support a stronger theoretical basis for public health policy.

Tuskegee redux: evolution of legal mandates for human experimentation.

Human health experiments systematically expose people to conditions beyond the boundaries of medical evidence. Such experiments have included legal-medical collaboration, exemplified in the U.S. by the Public Health Service (PHS) Syphilis Study (Tuskegee). That medical experiment was legal, conforming to segregationist protocols and specific legislative authorization which excluded a selected group of African Americans from any medical protection from syphilis. Subsequent corrective action outlawed unethical medical experiments but did not address other forms of collaboration, including PHS submission to laws which may have placed African American women at increased risk from AIDS and breast cancer. Today, anti-lobbying law makes it a felony for PHS workers to openly challenge legally anointed suspension of medical evidence. African Americans and other vulnerable populations may thereby face excess risks-not only from cancer, but also from motor vehicle crashes, firearm assault, end stage renal disease, and other problems-with PHS workers as silent partners.

Firearms, youth homicide, and public health.

Homicide is seven times as common among U.S. non-Hispanic Black as among non-Hispanic White youth ages 15 to 24 years. In 83% of these youth homicides, the murder weapon is a firearm. Yet, for more than a decade, the national public health position on youth violence has been largely silent about the role of firearms, and tools used by public health professionals to reduce harm from other potential hazards have been unusable where guns are concerned. This deprives already underserved populations from the full benefits public health agencies might be able to deliver. In part, political prohibitions against research about direct measures of firearm control and the absence of valid public health surveillance are responsible. More refined epidemiologic theories as well as traditional public health methods are needed if the U.S. aims to reduce disparate Black-White youth homicide rates.

Alcohol diagnoses among older Tennessee Medicare beneficiaries: race and gender differences.

BACKGROUND: These analyses bolster a sparse body of research focusing on the rate of alcohol disorders among older adults, particularly race and gender subgroups. METHODS: We based the study on cross-sectional data from all Medicare billed physician/patient encounters. Analyses of these data included cross-tabulations, difference of means tests, and difference of proportions tests, logistic regression and multinomial logistic regression. These analyses were based Medicare billing records from physician/patient encounters in Tennessee. Data included Tennessee Medicare billings beneficiaries enrolled in Medicare Part B, who saw a physician at least once in 2000. Patients with billings containing ICD-9 codes: 303 (alcohol abuse), 305 (alcohol dependence), 291 (alcohol psychosis), or 571.1-571.3 (alcohol-related liver disease including cirrhosis of the liver) as to primary diagnosis were considered alcohol-disordered. RESULTS: Analyses reveal the overall rate of alcohol disorders, subgroup variation in rates and differences in pattern of specific disorders. Merely 0.04% of Tennessee Medicare beneficiaries were diagnosed with any type of alcoholism, a rate much lower than those reported in previous studies. Rates of alcohol disorders varied across groups, with significantly higher rates for Black men. The type alcohol disorder also varied across groups. CONCLUSIONS: Many encounters with the medical system result in missed opportunities to identify and treat alcohol disorders, a significant risk factor among older adults. Alcoholism both triggers and exacerbates many chronic conditions among older adults. The earlier in the disease trajectory the more of these conditions could be prevented or more efficiently managed, resulting in substantial savings in health care costs.

Geographic variations in percutaneous coronary interventions and coronary artery bypass graft surgery among Tennessee elders.

OBJECTIVES: Coronary heart disease often presents with ST segment elevation acute myocardial infarction (STEMI). The American College of Cardiology/American Heart Association guidelines stress prompt reperfusion for STEMI. Examining geographic variations in treatment with PPCI (percutaneous primary coronary intervention) and CABG (coronary artery bypass graft) among metropolitan, micropolitan and non-micropolitan rural residents provides a descriptive basis for generating hypotheses concerning place and receipt of guidelines-based treatment. METHODS: Using ICD-9 codes for STEMI and excluding beneficiaries with pre-existing MI in claims data, yielded a subset of 18,775 Tennessee Medicare beneficiaries experiencing STEMI from 1996 to 2002. The outcome variable is type of treatment, i.e., in accord (PPCI or CABG present) or not in accord (PPCI or CABG absent) with guidelines. Independent variables include type county residence, hospital volume, race, gender, and age. Analyses include cross-tabulation and logistic regression, estimating separate models by age and type of MI. RESULTS: Micropolitan residents with STEMI have the lowest rates for PPCI (18.8%) versus 28.1% percent for metropolitan and 24.2% for non-micropolitan rural residents. CABG follows similar patterns at lower overall rates. Treatment at a heart center with high volume PPCI mediated the relationship between the likelihood of PPCI and place. CONCLUSION: The correspondence between metropolitan and rural utilization suggests that access to a full range of treatment options and likelihood of "best practice" care is not dependent on metropolitan residence. This presents the possibility that with some policy changes, e.g., centralization of emergency heart care, the same may ultimately be true for micropolitan residents.

The influence of religiosity on depression among low-income people with diabetes.

People with diabetes experience depression at a significantly higher rate than do their nondiabetic counterparts. The purpose of this study was to examine the impact of multiple dimensions of religiosity on depression among a lower income population of people with diabetes. Using a cross-sectional design, the study focused on a combined clinical and community sample of people with diabetes from low-income neighborhoods. On the basis of previous studies and confirmatory factor analyses of study data, five distinct dimensions of religiosity emerged: religious belief, reading religious materials, prayer, religious attendance, and engaging others in religious discourse. Bivariate correlation and hierarchical linear regression revealed robust and inverse associations between four of the five dimensions of religiosity and level of depression. Prayer, religious reading, religious attendance, and religious belief proved protective against depressive symptoms. Although it correlated with the other measures of religiosity, engaging in religious discourse was not distinctly associated with levels ofdepression. The analyses suggest that religious resources increase psychological resiliency among those managing the chronic stress of diabetes. Pedagogical and practice implications are discussed.

Black-white disparities in elderly breast cancer mortality before and after implementation of Medicare benefits for screening mammography.

BACKGROUND: Medicare implemented reimbursement for screening mammography in 1991. MAIN FINDINGS: Post-implementation, breast cancer mortality declined faster (p< .0001) among White than among Black elderly women (65+ years). No excess breast cancer deaths occurred among Black elderly compared with White elderly through 1990; over 2,459 have occurred since. Contextual socioeconomic status does not explain differences between counties with lowest Black breast cancer mortality/post-implementation declines in disparity and counties with highest Black breast cancer mortality/widened disparity post-implementation. CONCLUSIONS: The results lead to these hypotheses: (a) Medicare mammography reimbursement was causally associated with declines in elderly mortality and widened elderly Black:White disparity from breast cancer; (b) the latter reflects inherent Black-White differences in risk of breast cancer death; place-specific, unaddressed inequalities in capacity to use Medicare benefits; and/or other factors; (c) previous observations linking poverty with disparities in breast cancer mortality are partly confounded by factors explained by theories of human capability and diffusion of innovation.

Black-White mortality from HIV in the United States before and after introduction of highly active antiretroviral therapy in 1996.

OBJECTIVES: We sought to describe Black-White differences in HIV disease mortality before and after the introduction of highly active antiretroviral treatment (HAART). METHODS: Black-White mortality from HIV is described for the nation as a whole. We performed regression analyses to predict county-level mortality for Black men aged 25-84 years and the corresponding Black:White male mortality ratios (disparities) in 140 counties with reliable Black mortality for 1999-2002. RESULTS: National Black-White disparities widened significantly after the introduction of HAART, especially among women and the elderly. In county regression analyses, contextual socioeconomic status (SES) was not a significant predictor of Black:White mortality rate ratio after we controlled for percentage of the population who were Black and percentage of the population who were Hispanic, and neither contextual SES nor race/ethnicity were significant predictors after we controlled for pre-HAART mortality. Contextual SES, race, and pre-HAART mortality were all significant and independent predictors of mortality among Black men. CONCLUSIONS: Although nearly all segments of the Black population experienced widened post-HAART disparities, disparities were not inevitable and tended to reflect pre-HAART levels. Public health policymakers should consider the hypothesis of unequal diffusion of the HAART innovation, with place effects rendering some communities more vulnerable than others to this potential problem.

HIV/AIDS knowledge and sexual activity: an examination of racial differences in a college sample.

The threat of HIV/AIDS to African American's health has become the focus of much concern. This study investigated the potential differences between African Americans' and white college students' current and future sexual behaviors and safer sex behaviors with HIV/AIDS awareness, condom use self-efficacy, and safer sex attitudes. A convenience sample of 156 college students from three public universities was used. Of those who were sexually active, more African American than white respondents reported they used condoms frequently, and more African Americans indicated they would use condoms regularly in the future. No racial differences were found in intentions for future casual sex, condom use self-efficacy, or attitudes toward safer sex practices. Although the results suggest that for this sample African American college students appear to have internalized safer sex messages to a greater degree, both groups reported a lack of consistent safe-sex practices, which may put them at risk of HIV/AIDS.

Descriptive and analytic epidemiologic studies to identify modifiable determinants of disparities in mortality rates between Blacks and Whites.

INTRODUCTION: Descriptive and epidemiologic studies of US national data reveal no sustained decrease in disparities in mortality between Blacks and Whites since World War II. In contrast, descriptive studies of variations in racial mortality trends across comparable geographic areas might lead to the formulation of hypotheses for testing in analytical epidemiologic studies to identify modifiable determinants. METHODOLOGY: Using the CDC Wonder system, the 41 peer-geographic areas to Davidson County, Tennessee, in which Meharry Medical College resides, were identified. For 1999-2000, race- and sex-specific, age-adjusted annual mortality rate ratios (MRRs) for Blacks compared to Whites, stratified by age (<1, 1-24, 25-64, and > or = 65 years), were calculated. In 39 of the 41, MRR was >1.0, indicating higher death rates for Blacks. RESULTS: In 20 counties with low Black:White poverty ratios, MRRs were higher in 18 and achieved statistical significance in 13. In 21 counties with high Black:White poverty ratios, MRRs were higher in 20 counties and achieved statistical significance in 19. No MRRs were significantly lower for Blacks. CONCLUSION: This new pathway includes descriptive data to explore racial mortality trends across peer-geographic areas to formulate hypotheses for analytical epidemiologic studies for the identification of modifiable determinants of disparities in mortality rates between Blacks and Whites.