Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age.

PURPOSE: Genetic testing for gene mutations which elevate risk for breast cancer is particularly important for women diagnosed at a young age. Differences remain in access and utilization to testing across social groups, and research on the predictors of interest in genetic testing for women diagnosed at a young age is limited. METHODS: We examined the relationships between subjective social status (SSS) and variables previously identified as possible predictors of genetic testing, including genome sequencing knowledge, genetic worry, cancer worry, health consciousness, decision-making preferences, genetic self-efficacy, genetic-related beliefs, and subjective numeracy, among a cohort of women who were diagnosed with breast cancer at a young age. RESULTS: In this sample (n = 1,076), those who had higher SSS had significantly higher knowledge about the limitations of genome sequencing (Odds Ratio (OR) = 1.11; 95% CI = 1.01-1.21) and significantly higher informational norms (OR = 1.93; 95% CI = 1.19-3.14) than those with lower SSS. Similarly, education (OR = 2.75; 95% CI = 1.79-4.22), health status (OR = 2.18; 95% CI = 1.44-3.31) were significant predictors among higher SSS women compared to lower SSS women in our multivariate analysis. Lower SSS women with low self-reported income (OR = 0.13; 95% CI = 0.08-0.20) had lower odds of genetic testing interest. Our results are consistent with some prior research utilizing proxy indicators for socioeconomic status, but our research adds the importance of using a multidimensional indicator such as SSS to examine cancer and genetic testing predictor outcomes. CONCLUSION: To develop interventions to improve genetic knowledge, researchers should consider the social status and contexts of women diagnosed with breast cancer at a young age (or before 40 years old) to ensure equity in the distribution of genetic testing benefits.

Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own.

OBJECTIVE: This study aimed to 1) investigate algorithm enhancements for identifying patients eligible for genetic testing of hereditary cancer syndromes using family history data from electronic health records (EHRs); and 2) assess their impact on relative differences across sex, race, ethnicity, and language preference. MATERIALS AND METHODS: The study used EHR data from a tertiary academic medical center. A baseline rule-base algorithm, relying on structured family history data (structured data; SD), was enhanced using a natural language processing (NLP) component and a relaxed criteria algorithm (partial match [PM]). The identification rates and differences were analyzed considering sex, race, ethnicity, and language preference. RESULTS: Among 120,007 patients aged 25-60, detection rate differences were found across all groups using the SD (all P < 0.001). Both enhancements increased identification rates; NLP led to a 1.9 % increase and the relaxed criteria algorithm (PM) led to an 18.5 % increase (both P < 0.001). Combining SD with NLP and PM yielded a 20.4 % increase (P < 0.001). Similar increases were observed within subgroups. Relative differences persisted across most categories for the enhanced algorithms, with disproportionately higher identification of patients who are White, Female, non-Hispanic, and whose preferred language is English. CONCLUSION: Algorithm enhancements increased identification rates for patients eligible for genetic testing of hereditary cancer syndromes, regardless of sex, race, ethnicity, and language preference. However, differences in identification rates persisted, emphasizing the need for additional strategies to reduce disparities such as addressing underlying biases in EHR family health information and selectively applying algorithm enhancements for disadvantaged populations. Systematic assessment of differences in algorithm performance across population subgroups should be incorporated into algorithm development processes.

Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities: Rigorous Methods Are Available.

In June 2022, the NIH Office of Disease Prevention (ODP) issued a Call for Papers for a Supplemental Issue to Prevention Science on Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities. ODP sought to bring together current thinking and new ideas about design and analytic methods for studies aimed at reducing health disparities, including strategies for balancing methodological rigor with design feasibility, acceptability, and ethical considerations. ODP was particularly interested in papers on design and analytic methods for parallel group- or cluster-randomized trials (GRTs), stepped-wedge GRTs, group-level regression discontinuity trials, and other methods appropriate for evaluating multilevel interventions. In this issue, we include 12 papers that report new methods, provide examples of strong applications of existing methods, or provide guidance on developing multilevel interventions to reduce health disparities. These papers provide examples showing that rigorous methods are available for the design and analysis of multilevel interventions to reduce health disparities.

The measurement of racism in health inequities research.

There is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities. Advanced statistical methods have the potential to be used in new ways to examine the relationship between racism and health inequities. In this review, we conduct a descriptive examination of the measurement of racism in the health inequities epidemiologic literature. We examine the study design, methods used for analysis, types of measures used (e.g., composite, absolute, relative), number of measures used, phase of research (detect, understand, solutions), viewpoint (oppressor, oppressed), and components of structural racism measures (historical context, geographical context, multifaceted nature). We discuss methods (e.g., Peters-Belson, latent class analysis, difference in differences) that have demonstrated potential for future work. The articles reviewed were limited to the detect (25%) and understand (75%) phases, with no studies in the solutions phase. Although the majority (56%) of studies had cross-sectional designs, many authors pointed to the need for longitudinal and multilevel data for further exploration. We examined study design features as mutually exclusive elements. However, racism is a multifaceted system and the measurement of racism in many studies does not fit into a single category. As the literature grows, the significance of methodological and measurement triangulation to assess racism should be investigated.

Attitudes and beliefs regarding race-targeted genetic testing of Black people: A systematic review.

Geographical ancestry has been associated with an increased risk of various genetic conditions. Race and ethnicity often have been used as proxies for geographical ancestry. Despite numerous problems associated with the crude reliance on race and ethnicity as proxies for geographical ancestry, some genetic testing in the clinical, research, and employment settings has been and continues to be race- or ethnicity-based. Race-based or race-targeted genetic testing refers to genetic testing offered only or primarily to people of particular racial or ethnic groups because of presumed differences among groups. One current example is APOL1 testing of Black kidney donors. Race-based genetic testing raises numerous ethical and policy questions. Given the ongoing reliance on the Black race in genetic testing, it is important to understand the views of people who identify as Black or are identified as Black (including African American, Afro-Caribbean, and Hispanic Black) regarding race-based genetic testing that targets Black people because of their race. We conducted a systematic review of studies and reports of stakeholder-engaged projects that examined how people who identify as or are identified as Black perceive genetic testing that specifically presumes genetic differences exist among racial groups or uses race as a surrogate for ancestral genetic variation and targets Black people. Our review identified 14 studies that explicitly studied this question and another 13 that implicitly or tacitly studied this matter. We found four main factors that contribute to a positive attitude toward race-targeted genetic testing (facilitators) and eight main factors that are associated with concerns regarding race-targeted genetic testing (barriers). This review fills an important gap. These findings should inform future genetic research and the policies and practices developed in clinical, research, public health, or other settings regarding genetic testing.

Impact of education on APOL1 testing attitudes among prospective living kidney donors.

It is unknown how providing prospective living donors with information about APOL1, including the benefits and drawbacks of testing, influences their desire for testing. In this study, we surveyed 102 participants with self-reported African ancestry and positive family history of kidney disease, recruited from our nephrology waiting room. We assessed views on APOL1 testing before and after presentation of a set of potential benefits and drawbacks of testing and quantified the self-reported level of influence individual benefits and drawbacks had on participants' desire for testing in the proposed context of living donation. The majority of participants (92%) were aware of organ donation and more than half (56%) had considered living donation. And though we found no significant change in response following presentation of the potential benefits and the drawbacks of APOL1 testing by study end significance, across all participants, "becoming aware of the potential risk of kidney disease among your immediate family" was the benefit with the highest mean influence (3.3±1.4), while the drawback with the highest mean influence (2.9±1.5) was "some transplant centers may not allow you to donate to a loved one". This study provides insights into the priorities of prospective living donors and suggests concern for how the information affects family members may strongly influence desires for testing. It also highlights the need for greater community engagement to gain a deeper understanding of the priorities that influence decision making on APOL1 testing.

Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial.

BACKGROUND: Advances in genetics and sequencing technologies are enabling the identification of more individuals with inherited cancer susceptibility who could benefit from tailored screening and prevention recommendations. While cancer family history information is used in primary care settings to identify unaffected patients who could benefit from a cancer genetics evaluation, this information is underutilized. System-level population health management strategies are needed to assist health care systems in identifying patients who may benefit from genetic services. In addition, because of the limited number of trained genetics specialists and increasing patient volume, the development of innovative and sustainable approaches to delivering cancer genetic services is essential. METHODS: We are conducting a randomized controlled trial, entitled Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE), to address these needs. The trial is comparing uptake of genetic counseling, uptake of genetic testing, and patient adherence to management recommendations for automated, patient-directed versus enhanced standard of care cancer genetics services delivery models. An algorithm-based system that utilizes structured cancer family history data available in the electronic health record (EHR) is used to identify unaffected patients who receive primary care at the study sites and meet current guidelines for cancer genetic testing. We are enrolling eligible patients at two healthcare systems (University of Utah Health and New York University Langone Health) through outreach to a randomly selected sample of 2780 eligible patients in the two sites, with 1:1 randomization to the genetic services delivery arms within sites. Study outcomes are assessed through genetics clinic records, EHR, and two follow-up questionnaires at 4 weeks and 12 months after last genetic counseling contactpre-test genetic counseling. DISCUSSION: BRIDGE is being conducted in two healthcare systems with different clinical structures and patient populations. Innovative aspects of the trial include a randomized comparison of a chatbot-based genetic services delivery model to standard of care, as well as identification of at-risk individuals through a sustainable EHR-based system. The findings from the BRIDGE trial will advance the state of the science in identification of unaffected patients with inherited cancer susceptibility and delivery of genetic services to those patients. TRIAL REGISTRATION: BRIDGE is registered as NCT03985852 . The trial was registered on June 6, 2019 at clinicaltrials.gov .

Racial Discrimination, Sexual Partner Race/Ethnicity, and Depressive Symptoms Among Black Sexual Minority Men.

Although racial sexual exclusivity among Black gay, bisexual, and other sexual minority men (SMM) is frequently framed as a cause of HIV inequities, little research has examined how these sexual relationships may be driven by and protective against racism. This study examined associations between general racial discrimination, Black sexual exclusivity, sexual racial discrimination, and depressive symptoms among Black SMM. We conducted analyses on cross-sectional self-report data from 312 cisgender Black SMM in the U.S. Deep South who participated in the MARI study. Measures included general racial and sexual identity discrimination, race/ethnicity of sexual partners, sexual racial discrimination, and depressive symptoms. We estimated a moderated-mediation model with associations from discrimination to Black sexual exclusivity, moderated by discrimination target, from Black sexual exclusivity to sexual racial discrimination, and from sexual racial discrimination to depressive symptoms. We tested an indirect effect from racial discrimination to depressive symptoms to examine whether Black sexual exclusivity functioned as an intervening variable in the associations between racial discrimination and depressive symptoms. Results indicated that participants who experienced racial discrimination were more likely to exclusively have sex with Black men. Men with higher Black sexual exclusivity were less likely to experience sexual racial discrimination and, in turn, reported lower depressive symptoms. The indirect pathway from racial discrimination to depressive symptoms through Black sexual exclusivity and sexual racial discrimination was significant. Our results suggest that one of the drivers of sexual exclusivity among Black SMM may be that it helps to protect against the caustic psychological effects of racial discrimination.

Content validation of a quantitative stakeholder engagement measure.

AIM: Using a stakeholder-engaged approach, this study conducted content validation and item reduction of a quantitative measure of research engagement. METHODS: A five-round modified Delphi process was used to reach consensus on items. Rounds 1-3 and 5 were conducted using web-based surveys. Round 4 consisted of a 2-day, in-person meeting. Delphi panelists received individualized reports outlining individual and aggregate group responses after rounds 1-3. RESULTS: Over the five-round process, items were added, dropped, modified, and moved from one engagement principle to another. The number of items was reduced from 48 to 32, with three to five items corresponding to eight engagement principles. CONCLUSIONS: Research that develops standardized, reliable, and accurate measures to assess stakeholder engagement is essential to understanding the impact of engagement on scientific discovery and the scientific process. Valid quantitative measures to assess stakeholder engagement in research are necessary to assess associations between engagement and research outcomes.

Are You Making an Impact? Evaluating the Population Health Impact of Community Benefit Programs.

CONTEXT: The Patient Protection and Affordable Care Act includes a change to the IRS 990 Schedule H, requiring nonprofit hospitals to submit a community health needs assessment every 3 years. Such health care entities are challenged to evaluate the effectiveness of community benefit programs addressing the health needs identified. OBJECTIVE: In an effort to determine the population health impact of community benefit programs in 1 hospital outreach department, researchers and staff conducted an impact evaluation to develop priority areas and overarching goals along with program- and department-level objectives. DESIGN: The longitudinal impact evaluation study design consists of retrospective and prospective secondary data analyses. SETTING: As an urban pediatric hospital, St Louis Children's Hospital provides an array of community benefit programs to the surrounding community. PARTICIPANTS: Hospital staff and researchers came together to form an evaluation team. Data from program evaluation and administrative data for analysis were provided by hospital staff. MAIN OUTCOME MEASURE: Impact scores were calculated by scoring objectives as met or unmet and averaged across goals to create impact scores that measure how closely programs meet the overarching departmental mission and goals. RESULTS: Over the 4-year period, there is an increasing trend in program-specific impact scores across all programs except one, Healthy Kids Express Asthma, which had a slight decrease in year 4 only. IMPLICATIONS: Current work in measuring and assessing the population health impact of community benefit programs is mostly focused on quantifying dollars invested into community benefit work rather than measuring the quality and impact of services. This article provides a methodology for measuring population health impact of community benefit programs that can be used to evaluate the effort of hospitals in providing community benefit. This is particularly relevant in our changing health care climate, as hospitals are being asked to justify community benefit and make meaningful contributions to population health. The Patient Protection and Affordable Care Act includes a change to the IRS 990 Schedule H, requiring nonprofit hospitals to submit a community health needs assessment every 3 years, and requires evaluation of program effectiveness; yet, it does not require any quantification of the impact of community benefit programs. The IRS Schedule H 990 policies could be strengthened by requiring an impact evaluation such as outlined in this article. CONCLUSION: As hospitals are being asked to justify community benefit and make meaningful contributions to population health, impact evaluations can be utilized to demonstrate the cumulative community benefit of programs and assess population health impact of community benefit programs.

Information Topics of Greatest Interest for Return of Genome Sequencing Results among Women Diagnosed with Breast Cancer at a Young Age.

We investigated what information women diagnosed with breast cancer at a young age would want to learn when genome sequencing results are returned. We conducted 60 semi-structured interviews with women diagnosed with breast cancer at age 40 or younger. We examined what specific information participants would want to learn across result types and for each type of result, as well as how much information they would want. Genome sequencing was not offered to participants as part of the study. Two coders independently coded interview transcripts; analysis was conducted using NVivo10. Across result types, participants wanted to learn about health implications, risk and prevalence in quantitative terms, causes of variants, and causes of diseases. Participants wanted to learn actionable information for variants affecting risk of preventable or treatable disease, medication response, and carrier status. The amount of desired information differed for variants affecting risk of unpreventable or untreatable disease, with uncertain significance, and not health-related. Women diagnosed with breast cancer at a young age recognize the value of genome sequencing results in identifying potential causes and effective treatments and expressed interest in using the information to help relatives and to further understand their other health risks. Our findings can inform the development of effective feedback strategies for genome sequencing that meet patients' information needs and preferences.

Psychosocial and Clinical Factors Associated with Family Communication of Cancer Genetic Test Results among Women Diagnosed with Breast Cancer at a Young Age.

Genetic test results have medical implications beyond the patient that extend to biological family members. We examined psychosocial and clinical factors associated with communication of genetic test results within families. Women (N = 1080) diagnosed with breast cancer at age 40 or younger completed an online survey; 920 women that reported prior cancer genetic testing were included in analysis. We examined the proportion of immediate family members to whom they communicated genetic test results, and built multivariable regression models to examine clinical and psychosocial variables associated with the proportion score. Participants were most likely to communicate test results to their mother (83 %) and least likely to their son (45 %). Participants who carried a BRCA mutation (OR = 1.34; 95 % CI = 1.06, 1.70), had higher interest in genomic information (OR = 1.55; 95 % CI = 1.26, 1.91) and lower genetic worry (OR = 0.91; 95 % CI = 0.86, 0.96) communicated genetic test results to a greater proportion of their immediate family members. Participants with a BRCA1/2 mutation shared their genetic test results with more male family members (OR = 1.72; 95 % CI = 1.02, 2.89). Our findings suggest that patients with high worry about genetic risks, low interest in genomic information, or receive a negative genetic test result will likely need additional support to encourage family communication.

Development of Plain Language Supplemental Materials for the Biobank Informed Consent Process.

The US Department of Health and Human Services addresses clear communication in the informed consent process as part of the Notice of Proposed Rulemaking for revisions to the Common Rule. However, prior research has shown that participants may not fully comprehend research studies despite completion of an informed consent process. Our main goal was to provide plain language information about donation processes to a cancer biobank to supplement an informed consent form. We developed and conducted cognitive testing with supplemental brochures that clearly communicated information about three different models for consent (notice, broad and study-specific) to future use of biospecimens. During the brochure development process, we conducted qualitative, semi-structured, individual, in-person cognitive interviews among 14 women to examine participants' perceptions of the brochures. Each participant provided feedback regarding the understandability, graphics and layout, and cultural appropriateness of the brochures. Our findings demonstrate that these methods may be used to tailor consent form brochures, such as the ones developed here, to other populations. This study therefore adds to our understanding of how best to present content to help women from two different racial groups make informed decisions about participation in a cancer biobank.

Comparing treatment and outcomes of ductal carcinoma in situ among women in Missouri by race.

PURPOSE: To investigate whether treatment (surgery, radiation therapy, and endocrine therapy) contributes to racial disparities in outcomes of ductal carcinoma in situ (DCIS). PATIENTS AND METHODS: The analysis included 8184 non-Hispanic White and 954 non-Hispanic Black women diagnosed with DCIS between 1996 and 2011 and identified in the Missouri Cancer Registry. Logistic regression models were used to estimate odds ratios (ORs) of treatment for race. We used Cox proportional hazards regression models to estimate hazard ratios (HRs) of ipsilateral breast tumor (IBT) and contralateral breast tumor (CBT) for race. RESULTS: There was no significant difference between Black and White women in utilization of mastectomy (OR 1.16; 95 % CI 0.99-1.35) or endocrine therapy (OR 1.19; 95 % CI 0.94-1.51). Despite no significant difference in underutilization of radiation therapy (OR 1.14; 95 % CI 0.92-1.42), Black women had higher odds of radiation delay, defined as at least 8 weeks between surgery and radiation (OR 1.92; 95 % CI 1.55-2.37). Among 9138 patients, 184 had IBTs and 326 had CBTs. Black women had a higher risk of IBTs (HR 1.69; 95 % CI 1.15-2.50) and a comparable risk of CBTs (HR 1.19; 95 % CI 0.84-1.68), which were independent of pathological features and treatment. CONCLUSION: Racial differences in DCIS treatment and outcomes exist in Missouri. This study could not completely explain the higher risk of IBTs in Black women. Future studies should identify differences in timely initiation and completion of treatment, which may contribute to the racial difference in IBTs after DCIS.

Still Separate, Still Unequal: Social Determinants of Playground Safety and Proximity Disparities in St. Louis.

Physical activity among youth is shaped by the natural and built environment within which they live; however, few studies have focused on assessing playground safety and proximity in detail as part of the built environment for youth physical activity. We analyzed data on 100 publicly accessible playgrounds from Play Across St. Louis, a community-partnered study of the built environment for youth physical activity. Outcomes included overall playground safety, maintenance, and construction scores; distance to nearest playground; and distance to nearest top playground. Independent variables included neighborhood % youth, % black residents, % owner-occupied units, and % vacant units. Playgrounds in the city have varying degrees of safety and proximity. Mean overall playground safety score was 67.0 % (CI = 63.5, 70.4). Neighborhood % youth and % black residents were inversely associated with overall playground safety (p = 0.03 and p < 0.01) and maintenance (p < 0.01 and p < 0.0001). Mean distance to nearest playground was 638.1 and 1488.3 m to nearest top playground. Clusters of low safety scores were found in the northern and central areas while all high safety score clusters were found in the southern part of St. Louis. Public playground safety and proximity vary across St. Louis neighborhoods, especially by neighborhood demographics. Disparities in playground safety and proximity reveal an opportunity to develop community-wide interventions focused on playgrounds for youth activity. Further work is needed to examine the association between playground safety, proximity, and use and youth physical activity and weight.

Relationships Between Health Literacy and Genomics-Related Knowledge, Self-Efficacy, Perceived Importance, and Communication in a Medically Underserved Population.

The increasing importance of genomic information in clinical care heightens the need to examine how individuals understand, value, and communicate about this information. Based on a conceptual framework of genomics-related health literacy, we examined whether health literacy was related to knowledge, self-efficacy, and perceived importance of genetics and family health history (FHH) and communication about FHH in a medically underserved population. The analytic sample was composed of 624 patients at a primary care clinic in a large urban hospital. About half of the participants (47%) had limited health literacy; 55% had no education beyond high school, and 58% were Black. In multivariable models, limited health literacy was associated with lower genetic knowledge (ß = -0.55, SE = 0.10, p < .0001), lower awareness of FHH (odds ratio [OR] = 0.50, 95% confidence interval [CI; 0.28, 0.90], p = .020), and greater perceived importance of genetic information (OR = 1.95, 95% CI [1.27, 3.00], p = .0022) but lower perceived importance of FHH information (OR = 0.47, 95% CI [0.26, 0.86], p = .013) and more frequent communication with a doctor about FHH (OR = 2.02, 95% CI [1.27, 3.23], p = .0032). The findings highlight the importance of considering domains of genomics-related health literacy (e.g., knowledge, oral literacy) in developing educational strategies for genomic information. Health literacy research is essential to avoid increasing disparities in information and health outcomes as genomic information reaches more patients.

Racial and Ethnic Heterogeneity in Self-Reported Diabetes Prevalence Trends Across Hispanic Subgroups, National Health Interview Survey, 1997-2012.

INTRODUCTION: We examined racial/ethnic heterogeneity in self-reported diabetes prevalence over 15 years. METHODS: We used National Health Interview Survey data for 1997 through 2012 on 452,845 adults aged 18 years or older. Annual self-reported diabetes prevalence was estimated by race/ethnicity and education. We tested for trends over time by education and race/ethnicity. We also analyzed racial/ethnic and education trends in average annual prevalence. RESULTS: During the 15 years studied, diabetes prevalence differed significantly by race/ethnicity (P < .001) and by Hispanic subgroup (P < .001). Among participants with less than a high school education, the 5-year trend in diabetes prevalence was highest among Cubans and Cuban Americans (ß(5YR) = 4.8, P = .002), Puerto Ricans (ß(5YR) = 2.2, P = .06), non-Hispanic blacks (ß(5YR) = 2.2, P < .001), and non-Hispanic whites (ß(5YR) = 2.1, P < .001). Among participants with more than a high school education, non-Hispanic blacks had the highest average annual prevalence (5.5%) and Puerto Ricans had the highest 5-year trend in annual diabetes prevalence (ß(5YR) = 2.6, P = .001). CONCLUSIONS: In this representative sample of US adults, results show ethnic variations in diabetes prevalence. The prevalence of diabetes is higher among Hispanics than among non-Hispanic whites, unevenly distributed across Hispanic subgroups, and more pronounced over time and by education. Findings support disaggregation of data for racial/ethnic populations in the United States to monitor trends in diabetes disparities and the use of targeted, culturally appropriate interventions to prevent diabetes.

Improving breast cancer services for African-American women living in St. Louis.

A mixed methods, community-based research study was conducted to understand how provider-level factors contribute to the African-American and white disparity in breast cancer mortality in a lower socioeconomic status area of North St. Louis. This study used mixed methods including: (1) secondary analysis of Missouri Cancer Registry data on all 885 African-American women diagnosed with breast cancer from 2000 to 2008 while living in the geographic area of focus; (2) qualitative interviews with a subset of these women; (3) analysis of data from electronic medical records of the women interviewed; and (4) focus group interviews with community residents, patient navigators, and other health care professionals. 565 women diagnosed with breast cancer from 2000 to 2008 in the geographic area were alive at the time of secondary data analysis; we interviewed (n = 96; 17 %) of these women. Provider-level obstacles to completion of prescribed treatment included fragmented navigation (separate navigators at Federally Qualified Health Centers, surgical oncology, and medical oncology, and no navigation services in surgical oncology). Perhaps related to the latter, women described radiation as optional, often in the same words as they described breast reconstruction. Discontinuous and fragmented patient navigation leads to failure to associate radiation therapy with vital treatment recommendations. Better integrated navigation that continues throughout treatment will increase treatment completion with the potential to improve outcomes in African Americans and decrease the disparity in mortality.

Cross-sectional and longitudinal effects of racism on mental health among residents of Black neighborhoods in New York City.

OBJECTIVES: We investigated the impact of reported racism on the mental health of African Americans at cross-sectional time points and longitudinally, over the course of 1 year. METHODS: The Black Linking Inequality, Feelings, and the Environment (LIFE) Study recruited Black residents (n = 144) from a probability sample of 2 predominantly Black New York City neighborhoods during December 2011 to June 2013. Respondents completed self-report surveys, including multiple measures of racism. We conducted assessments at baseline, 2-month follow-up, and 1-year follow-up. Weighted multivariate linear regression models assessed changes in racism and health over time. RESULTS: Cross-sectional results varied by time point and by outcome, with only some measures associated with distress, and effects were stronger for poor mental health days than for depression. Individuals who denied thinking about their race fared worst. Longitudinally, increasing frequencies of racism predicted worse mental health across all 3 outcomes. CONCLUSIONS: These results support theories of racism as a health-defeating stressor and are among the few that show temporal associations with health.