Individual and neighborhood socioeconomic status and healthcare resources in relation to black-white breast cancer survival disparities

Neighborhood-level social determinants of health burden among adolescent and young adult cancer patients and impact on overall survival

BACKGROUND

Neighborhood socioeconomic deprivation has been linked to adverse health outcomes, yet it is unclear whether neighborhood-level social determinants of health (SDOH) measures affect overall survival in adolescent and young adult patients with cancer.

METHODS

This study used a diverse cohort of adolescent and young adult patients with cancer (N = 10 261) seen at MD Anderson Cancer Center. Zip codes were linked to Area Deprivation Index (ADI) values, a validated neighborhood-level SDOH measure, with higher ADI values representing worse SDOH.

RESULTS

ADI was statistically significantly worse (P < .050) for Black (61.7) and Hispanic (65.3) patients than for White patients (51.2). Analysis of ADI by cancer type showed statistically significant differences, mainly driven by worse ADI in patients with cervical cancer (62.3) than with other cancers. In multivariable models including sex, age at diagnosis, cancer diagnosis, and race and ethnicity, risk of shorter survival for people residing in neighborhoods with the least favorable ADI quartile was greater than for individuals in the most favorable ADI quartile (hazard ratio = 1.09, 95% confidence interval = 1.00 to 1.19, P = .043).

CONCLUSION

Adolescent and young adult patients with cancer and the worst ADI values experienced a nearly 10% increase in risk of dying than patients with more favorable ADI values. This effect was strongest among White adolescent and young adult survivors. Although the magnitude of the effect of ADI on survival was moderate, the presence of a relationship between neighborhood-level SDOH and survival among patients who received care at a tertiary cancer center suggests that ADI is a meaningful predictor of survival. These findings provide intriguing evidence for potential interventions aimed at supporting adolescent and young adult patients with cancer from disadvantaged neighborhoods.

Neighborhood-level characteristics as effect modifiers on the efficacy of the MyPEEPS mobile intervention in same-sex attracted adolescent men

To estimate the effect of neighborhood-level modification on the efficacy of the MyPEEPS Mobile intervention on the reduction of condomless anal sex acts among same-sex attracted adolescent men. A series of generalized linear mixed model was used to examine if the effect of the MyPEEPS Mobile intervention on condomless anal sex acts was moderated by neighborhood-level factors using data from the 2019 American Community Survey US Census Bureau. "The magnitudes of intervention were significantly smaller at both 6- and 9-month follow-up among adolescents living in neighborhood with high proportions of Hispanic or Latino residents (IRR6M = 1.02, 95 % CI: 1.01, 1.02; IRR9M = 1.03, 95 % CI: 1.01, 1.05) and high proportions of families with income below the poverty level (IRR6M = 1.07, 95 % CI: 1.01, 1.12; IRR9M = 1.05, 95 % CI: 1.01, 1.10), which indicated that living in communities with a higher concentration of residents living under poverty or of Hispanic/and Latino ethnicity significantly modified the effective of program intervention on condomless sex among adolescent MSM. Understanding how neighborhood characteristics modify the effect of HIV prevention interventions may be useful in better targeting delivery and tailoring content of interventions based on neighborhood level characteristics such as the ones identified in this study.

Socioecologic Factors and Racial Differences in Breast Cancer Multigene Prognostic Scores in US Women

Importance

Disproportionately aggressive tumor biology among non-Hispanic Black women with early-stage, estrogen receptor (ER)-positive breast cancer contributes to racial disparities in breast cancer mortality. It is unclear whether socioecologic factors underlie racial differences in breast tumor biology.

Objective

To examine individual-level (insurance status) and contextual (area-level socioeconomic position and rural or urban residence) factors as possible mediators of racial and ethnic differences in the prevalence of ER-positive breast tumors with aggressive biology, as indicated by a high-risk gene expression profile.

Design, Setting, and Participants

This retrospective cohort study included women 18 years or older diagnosed with stage I to II, ER-positive breast cancer between January 1, 2007, and December 31, 2015. All data analyses were conducted between December 2022 and April 2023.

Main Outcomes and Measures

The primary outcome was the likelihood of a high-risk recurrence score (RS) (≥26) on the Oncotype DX 21-gene breast tumor prognostic genomic biomarker.

Results

Among 69 139 women (mean [SD] age, 57.7 [10.5] years; 6310 Hispanic [9.1%], 274 non-Hispanic American Indian and Alaskan Native [0.4%], 6017 non-Hispanic Asian and Pacific Islander [8.7%], 5380 non-Hispanic Black [7.8%], and 51 158 non-Hispanic White [74.0%]) included in our analysis, non-Hispanic Black (odds ratio [OR], 1.33; 95% CI, 1.23-1.43) and non-Hispanic American Indian and Alaska Native women (OR, 1.38; 95% CI, 1.01-1.86) had greater likelihood of a high-risk RS compared with non-Hispanic White women. There were no significant differences among other racial and ethnic groups. Compared with non-Hispanic White patients, there were greater odds of a high-risk RS for non-Hispanic Black women residing in urban areas (OR, 1.35; 95% CI, 1.24-1.46), but not among rural residents (OR, 1.05; 95% CI, 0.77-1.41). Mediation analysis demonstrated that lack of insurance, county-level disadvantage, and urban vs rural residence partially explained the greater odds of a high-risk RS among non-Hispanic Black women (proportion mediated, 17%; P < .001).

Conclusions and Relevance

The findings of this cohort study suggest that the consequences of structural racism extend beyond inequities in health care to drive disparities in breast cancer outcome. Additional research is needed with more comprehensive social and environmental measures to better understand the influence of social determinants on aggressive ER-positive tumor biology among racial and ethnic minoritized women from disadvantaged and historically marginalized communities.

The relationship of chronic disease conditions to mental and physical health among cancer survivors

PURPOSE

This study examined the relationship between the presence of chronic disease conditions and mental and physical health among cancer survivors in the United States.

METHODS

We conducted a cross-sectional analysis utilizing survey data from the 2016-2017 Behavioral Risk Factor Surveillance System (BRFSS) on 65,673 eligible cancer survivors. The primary outcomes of interest were self-rated metal/physical health in the past 30 days. Descriptive statistics and multivariate logistic regression were used to examine the mentioned association.

RESULTS

15.3% and 24.8% of survivors reported having several days of poor mental and physical health (14-30 days compared to 0-13 days), and 42.4% of survivors reported having one to two chronic diseases. In multivariate analysis, survivors with one to two chronic diseases were more likely to report several days of poor mental (OR, 2.74; 95% CI, 2.22-3.38) and physical (OR, 1.95; 95% CI, 1.72-2.22) health. Survivors with 3+ chronic diseases had markedly higher odds of having several days of poor mental (OR, 6.41; 95% CI, 5.19-7.91) and physical health (OR, 4.71; 95% CI, 4.16-5.34). Among survivors with at least one chronic disease, older age, insured, and more perceived social/emotional support were negatively associated with mental health (p value <0.05). Similarly, older age was related to fewer days of poor physical health (p value <0.05) regardless of chronic disease conditions.

CONCLUSION

Having chronic diseases was associated with more days of poor mental and physical health among cancer survivors. Integrated, extensive care should include mental/physical health components and chronic disease management in cancer survivorship care.

Neighborhood Disadvantage and Breast Cancer-Specific Survival

Importance

Neighborhood-level disadvantage is an important factor in the creation and persistence of underresourced neighborhoods with an undue burden of disparate breast cancer-specific survival outcomes. Although studies have evaluated neighborhood-level disadvantage and breast cancer-specific survival after accounting for individual-level socioeconomic status (SES) in large national cancer databases, these studies are limited by age, socioeconomic, and racial and ethnic diversity.

Objective

To investigate neighborhood SES (using a validated comprehensive composite measure) and breast cancer-specific survival in a majority-minority population.

Design, Setting, and Participants

This retrospective multi-institutional cohort study included patients with stage I to IV breast cancer treated at a National Cancer Institute-designated cancer center and sister safety-net hospital from January 10, 2007, to September 9, 2016. Mean (SD) follow-up time was 60.3 (41.4) months. Data analysis was performed from March 2022 to March 2023.

Exposures

Neighborhood SES was measured using the Area Deprivation Index (tertiles), a validated comprehensive composite measure of neighborhood SES.

Main Outcomes and Measures

The primary outcome was breast cancer-specific survival. Random effects frailty models for breast cancer-specific survival were performed controlling for individual-level sociodemographic, comorbidity, breast cancer risk factor, access to care, tumor, and National Comprehensive Cancer Network guideline-concordant treatment characteristics. The Area Deprivation Index was calculated for each patient at the census block group level and categorized into tertiles (T1-T3).

Results

A total of 5027 women with breast cancer were included: 55.8% were Hispanic, 17.5% were non-Hispanic Black, and 27.0% were non-Hispanic White. Mean (SD) age was 55.5 (11.7) years. Women living in the most disadvantaged neighborhoods (T3) had shorter breast cancer-specific survival compared with those living in the most advantaged neighborhoods (T1) after controlling for individual-level sociodemographic, comorbidity, breast cancer risk factor, access to care, tumor, and National Comprehensive Cancer Network guideline-concordant treatment characteristics (T3 vs T1: hazard ratio, 1.29; 95% CI, 1.01-1.65; P < .04).

Conclusions and Relevance

In this cohort study, a shorter breast cancer-specific survival in women from disadvantaged neighborhoods compared with advantaged neighborhoods was identified, even after controlling for individual-level sociodemographic, comorbidity, breast cancer risk factor, access to care, tumor, and National Comprehensive Cancer Network guideline-concordant treatment characteristics. The findings suggest potential unaccounted mechanisms, including unmeasured social determinants of health and access to care measures. This study also lays the foundation for future research to evaluate whether social adversity from living in a disadvantaged neighborhood is associated with more aggressive tumor biologic factors, and ultimately shorter breast cancer-specific survival, through social genomic and/or epigenomic alterations.

The Colocation Model in Community Cancer Care: A Description of Patient Clinical and Demographic Attributes and Referral Pathways

PURPOSE

Cancer disparities are well documented among Black, Indigenous, and People of Color, yet little is known about the characteristics of programs that serve these populations. Integrating specialized cancer care services within community settings is important for addressing the needs of historically marginalized populations. Our National Cancer Institute-Designated Cancer Center initiated a clinical outreach program incorporating cancer diagnostic services and patient navigation within a Federally Qualified Health Center (FQHC) to expedite evaluation and resolution of potential cancer diagnoses with the goal of collaboration between oncology specialists and primary care providers in a historically marginalized community in Boston, MA.

MATERIALS AND METHODS

Sociodemographic and clinical characteristics were analyzed from patients who were referred to the program for cancer-related care between January 2012 and July 2018.

RESULTS

The majority of patients self-identified as Black (non-Hispanic) followed by Hispanic (Black and White). Twenty-two percent of patients had a cancer diagnosis. Treatment and surveillance plans were established for those with and without cancer at a median time to diagnostic resolution of 12 and 28 days, respectively. The majority of patients presented with comorbid health conditions. There was a high prevalence of self-reported financial distress among patients seeking care through this program.

CONCLUSION

These findings highlight the wide spectrum of cancer care concerns in historically marginalized communities. This review of the program suggests that integrating cancer evaluation services within community-based primary health care settings offers promise for enhancing the coordination and delivery of cancer diagnostic services among historically marginalized populations and could be a method to address clinical access disparities.

Racial/Ethnic Disparity in the Relationship of Mental and Physical Health With Colorectal Cancer Screening Utilization Among Breast and Prostate Cancer Survivors

PURPOSE

We examined colorectal cancer (CRC) screening utilization among non-Hispanic White, non-Hispanic Black (NHB), non-Hispanic other (NHO)/Hispanic cancer survivors. We also determined whether experiencing poor physical and/or mental health affects CRC screening utilization in breast and prostate cancers across different racial/ethnic groups.

METHODS

Data from years 2016, 2018, and 2020 of the Behavioral Risk Factor Surveillance System on 3,023 eligible treatment-utilizing cancer survivors with complete treatment were used. We performed descriptive statistics and multivariable logistic regression to examine the mentioned association.

RESULTS

Among 3,023 eligible survivors, 67.7% of NHO/Hispanic survivors demonstrated lower CRC screening use compared with non-Hispanic White (82%) and NHB (89%) survivors (P < .001). In multivariable analysis, having frequent (14-30 days) poor mental health was associated with lower odds of receiving CRC screening among NHB (odds ratio [OR], 0.32; 95% CI, 0.11 to 0.95) and NHO/Hispanic (OR, 0.39; 95% CI, 0.18 to 0.81) survivors. Similar results in physical health were also found in NHB (OR, 0.34; 95% CI, 0.13 to 0.91) and NHO/Hispanic (OR, 0.22; 95% CI, 0.05 to 0.91) groups. Among those experienced both frequent poor mental and physical health, NHB/NHO/Hispanic were less likely to be screened for CRC (OR, 0.05; 95% CI, 0.02 to 0.10).

CONCLUSION

NHO/Hispanic survivors demonstrated lower CRC screening use. Frequent poor mental and/or physical health was strongly associated with lower CRC screening use among NHB and NHO/Hispanic survivors. Our study suggests that cancer survivorship care considering mental and physical health status may improve adherence to CRC screening recommendation (for secondary cancer prevention) for NHB, NHO, and Hispanic survivors.

Breathing new life into death certificates: Extracting handwritten cause of death in the LIFE-M project

The demographic and epidemiological transitions of the past 200 years are well documented at an aggregate level. Understanding differences in individual and group risks for mortality during these transitions requires linkage between demographic data and detailed individual cause of death information. This paper describes the digitization of almost 185,000 causes of death for Ohio to supplement demographic information in the Longitudinal, Intergenerational Family Electronic Micro-database (LIFE-M). To extract causes of death, our methodology combines handwriting recognition, extensive data cleaning algorithms, and the semi-automated classification of causes of death into International Classification of Diseases (ICD) codes. Our procedures are adaptable to other collections of handwritten data, which require both handwriting recognition and semi-automated coding of the information extracted.

Government drivers of breast cancer prevention: A spatiotemporal analysis based on the association between breast cancer and macro factors

Background

Currently, breast cancer (BC) is ranked among the top malignant tumors in the world, and has attracted widespread attention. Compared with the traditional analysis on biological determinants of BC, this study focused on macro factors, including light at night (LAN), PM2.5, per capita consumption expenditure, economic density, population density, and number of medical beds, to provide targets for the government to implement BC interventions.

Methods

A total of 182 prefecture-level cities in China from 2013 to 2016 were selected as the sample of the study. The geographically and temporally weighted regression (GTWR) model was adopted to describe the spatiotemporal correlation between the scale of BC and macro factors.

Results

The results showed that the GTWR model can better reveal the spatiotemporal variation. In the temporal dimension, the fluctuations of the regression coefficients of each variable were significant. In the spatial dimension, the positive impacts of LAN, per capita consumption expenditure, population density and number of medical beds gradually increased from west to east, and the positive coefficient of PM2.5 gradually increased from north to south. The negative impact of economic density gradually increased from west to east.

Conclusion

The fact that the degree of effect of each variable fluctuates over time reminds the government to pay continuous attention to BC prevention. The spatial heterogeneity features also urge the government to focus on different macro indicators in eastern and western China or southern and northern China. In other words, our research helps drive the government to center on key regions and take targeted measures to curb the rapid growth of BC.

Spatial and temporal analysis of liver cancer mortality in Yunnan province, China, 2015-2019

Liver cancer is a major public health challenge. Few published studies reported temporal trend and geographical distribution of liver cancer mortality in China, especially in less developed southwest regions with higher liver cancer incidence. In the current study, we obtained liver cancer mortality data from population-based death surveillance system in Yunnan province in 2015-2019. The mortality of liver cancer was analyzed by using the joinpoint regression model. The space distribution of liver cancer mortality in 129 counties and districts in Yunnan province was illustrated by using the ArcGIS software. Moran's I method was used to estimate the global and local spatial autocorrelation of liver cancer mortality. Analytical results revealed that from 2015 to 2019, the average mortality rate of liver cancer in Yunnan province was 12.96/100,000, with an average annual growth rate of 6.26% (p < 0.05). Higher liver cancer mortality was found in rural areas and in males. Moreover, people aged 45-50 years experienced a steep increase in liver cancer mortality rate. High-high cluster was mainly consisted of areas with higher hepatitis virus infection rate or severe intravenous drug use problem. Our study results suggest a heavy burden of liver cancer in southwest China Yunnan province. Comprehensive intervention measures need to be developed and implemented.

Urban-Rural Variations in Quality of Care Among Patients With Cancer in California

INTRODUCTION

Previous research suggests cancer patients living in rural areas have lower quality of care, but population-based studies have yielded inconsistent results. This study examines the impact of rurality on care quality for 7 cancer types in California.

METHODS

Breast, ovarian, endometrial, cervix, colon, lung, and gastric cancer patients diagnosed from 2004 to 2017 were identified in the California Cancer Registry. Multivariable logistic regression and proportional hazards models were used to assess effects of residential location on quality of care and survival. Stratified models examined the impact of treatment at National Cancer Institute designated cancer centers (NCICCs). Quality of care was evaluated using Commission on Cancer measures. Medical Service Study Areas were used to assess urban/rural status. Data were collected in 2004-2019 and analyzed in 2020.

RESULTS

989,747 cancer patients were evaluated, with 14% living in rural areas. Rural patients had lower odds of receiving radiation after breast conserving surgery compared to urban residents. Colon and gastric cancer patients had 20% and 16% lower odds, respectively, of having optimal surgery. Rural patients treated at NCICCs had greater odds of recommended surgery for most cancer types. Survival was similar among urban and rural subgroups.

CONCLUSIONS

Rural residence was inversely associated with receipt of recommended surgery for gastric and colon cancer patients not treated at NCICCs, and for receiving recommended radiotherapy after breast conserving surgery regardless of treatment location. Further studies investigating the impact of care location and availability of supportive services on urban-rural differences in quality of care are warranted.

Neighborhood and Individual Socioeconomic Disadvantage and Survival Among Patients With Nonmetastatic Common Cancers

IMPORTANCE

Disadvantaged neighborhood-level and individual-level socioeconomic status (SES) have each been associated with suboptimal cancer care and inferior outcomes. However, independent or synergistic associations between neighborhood and individual socioeconomic disadvantage have not been fully examined, and prior studies using simplistic neighborhood SES measures may not comprehensively assess multiple aspects of neighborhood SES.

OBJECTIVE

To investigate the associations of neighborhood SES (using a validated comprehensive composite measure) and individual SES with survival among patients with nonmetastatic common cancers.

DESIGN, SETTING, AND PARTICIPANTS

This prospective, population-based cohort study was derived from the Surveillance, Epidemiology, and End Results-Medicare database from January 1, 2008, through December 31, 2011, with follow-up ending on December 31, 2017. Participants included older patients (≥65 years) with breast, prostate, lung, or colorectal cancer.

EXPOSURES

Neighborhood SES was measured using the area deprivation index (ADI; quintiles), a validated comprehensive composite measure of neighborhood SES. Individual SES was assessed by Medicare-Medicaid dual eligibility (yes vs no), a reliable indicator for patient-level low income.

MAIN OUTCOMES AND MEASURES

The primary outcome was overall mortality, and the secondary outcome was cancer-specific mortality. Hazard ratios (HRs) for the associations of ADI and dual eligibility with overall and cancer-specific mortality were estimated via Cox proportional hazards regression. Statistical analyses were conducted from January 23 to April 15, 2021.

RESULTS

A total of 96 978 patients were analyzed, including 25 968 with breast, 35 150 with prostate, 16 684 with lung, and 19 176 with colorectal cancer. Median age at diagnosis was 76 years (IQR, 71-81 years) for breast cancer, 73 years (IQR, 70-77 years) for prostate cancer, 76 years (IQR, 71-81 years) for lung cancer, and 78 years (IQR, 72-84 years) for colorectal cancer. Among lung and colorectal cancer patients, 8412 (50.4%) and 10 486 (54.7%), respectively, were female. The proportion of non-Hispanic White individuals among breast cancer patients was 83.7% (n = 21 725); prostate cancer, 76.8% (n = 27 001); lung cancer, 83.5% (n = 13 926); and colorectal cancer, 81.1% (n = 15 557). Neighborhood-level and individual-level SES were independently associated with overall mortality, and no interactions were detected. Compared with the most affluent neighborhoods (ADI quintile 1), living in the most disadvantaged neighborhoods (ADI quintile 5) was associated with higher risk of overall mortality (breast: HR, 1.34; 95% CI, 1.26-1.43; prostate: HR, 1.51; 95% CI, 1.42-1.62; lung: HR, 1.21; 95% CI, 1.14-1.28; and colorectal: HR, 1.24; 95% CI, 1.17-1.32). Individual socioeconomic disadvantage (dual eligibility) was associated with higher risk of overall mortality (breast: HR, 1.22; 95% CI, 1.15-1.29; prostate: HR, 1.29; 95% CI, 1.21-1.38; lung: HR, 1.14; 95% CI, 1.09-1.20; and colorectal: HR, 1.23; 95% CI, 1.17-1.29). A similar pattern was observed for cancer-specific mortality.

CONCLUSIONS AND RELEVANCE

In this cohort study, neighborhood-level deprivation was associated with worse survival among patients with nonmetastatic breast, prostate, lung, and colorectal cancer, even after accounting for individual SES. These findings suggest that, in order to improve cancer outcomes and reduce health disparities, policies for ongoing investments in low-resource neighborhoods and low-income households are needed.

Association of guideline-concordant initial systemic treatment with clinical and economic outcomes among older women with metastatic breast cancer in the United States

PURPOSE

We examined guideline-concordant initial systemic treatment among women with metastatic breast cancer, its predictors, and if guideline-concordant treatment was associated with mortality, healthcare utilization and Medicare expenditures.

METHODS

This retrospective observational cohort study was conducted using the Surveillance, Epidemiology, End Results-Medicare linked database. Women aged 66-90 years diagnosed with metastatic breast cancer during 2010-2013 (N = 1282) were included. The National Comprehensive Cancer Network treatment guidelines were used to determine the guideline-concordant initial systemic treatment following cancer diagnosis. A logistic regression analysis was conducted to examine significant predictors of guideline-concordant treatment. Generalized linear regressions were used to examine the association between guideline-concordant treatment and healthcare utilization and average monthly Medicare expenditures.

RESULTS

About 74% of the study cohort received guideline-concordant initial systemic treatment. Women who received guideline-concordant treatment were significantly more likely to be comparatively younger (p < 0.05), were married/partnered (p = 0.0038), had HER2 positive tumors, and had good performance status. Adjusted hazards ratios for all-cause (2.364, p < 0.0001) and breast-cancer specific mortality (2.179, p < 0.0001) were higher for women who did not receive guideline-concordant treatment. Rates of healthcare utilization were also higher for women not receiving guideline-concordant treatment. Average monthly Medicare expenditures were 100.4% higher (95% confidence interval: $77.3%-126.5%) for women who did not receive guideline-concordant treatment compared to those who received guideline-concordant treatment (p < 0.0001).

CONCLUSION

One fourth of the study cohort did not receive guideline-concordant initial systemic treatment. Guideline-concordant initial treatment was associated with reduced mortality, and lower healthcare utilization and Medicare expenditures in women with metastatic breast cancer.

Cancer stem cells: Culprits in endocrine resistance and racial disparities in breast cancer outcomes

Breast cancer stem cells (BCSCs) promote endocrine therapy (ET) resistance, also known as endocrine resistance in hormone receptor (HR) positive breast cancer. Endocrine resistance occurs via mechanisms that are not yet fully understood. In vitro, in vivo and clinical data suggest that signaling cascades such as Notch, hypoxia inducible factor (HIF), and integrin/Akt promote BCSC-mediated endocrine resistance. Once HR positive breast cancer patients relapse on ET, targeted therapy agents such as cyclin dependent kinase inhibitors are frequently implemented, though secondary resistance remains a threat. Here, we discuss Notch, HIF, and integrin/Akt pathway regulation of BCSC activity and potential strategies to target these pathways to counteract endocrine resistance. We also discuss a plausible link between elevated BCSC-regulatory gene levels and reduced survival observed among African American women with basal-like breast cancer which lacks HR expression. Should future studies reveal a similar link for patients with luminal breast cancer, then the use of agents that impede BCSC activity could prove highly effective in improving clinical outcomes among African American breast cancer patients.

Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer

The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self‐pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8‐66.8) and 54.1 (range: 44.5‐66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57‐0.94); E5103 0.76 (0.64‐0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22‐1.70); E5103 1.29 (1.06‐1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts.

Patterns of de-novo metastasis and breast cancer-specific mortality by race and molecular subtype in the SEER population-based dataset

PURPOSE

To examine patterns of de-novo metastases (mets) and association with breast cancer-specific mortality across subtypes and racial groups.

METHODS

Non-Hispanic (NH) Black and NH-White patients ages 40 years and older with primary breast cancer (BC) between 2010 and 2015 were examined. Multilevel logistic regression and Cox proportional hazards models were used to assess (1) odds of de-novo mets to specific sites by subtype, and (2) association of subtype with risk of BC mortality among patients with de-novo mets by race.

RESULTS

A total of 204,941 BC patients were included in analysis. The most common de-novo mets site was to the bone, and overall prevalence of de-novo mets was higher among NH-Black (6.4%) versus NH-White (4.1%) patients. The odds of de-novo mets to any site were lower for TNBC (OR 0.68, 95% CI 0.62-0.73) and HR+/HER2- (OR 0.50, 95% CI 0.47-0.53) subtypes, but higher for HR-/HER2+ (OR 1.16, 95% CI 1.06-1.28) relative to HR+/HER2+ . De-novo mets to the brain only was associated with the highest mortality risk across all subtypes, ranging from a 13-fold increase (hazard ratio 13.45, 95% CI 5.03-35.96) for HR-/HER2+ to a 39-fold increase (hazard ratio 39.04, 95% CI 26.2-58.14) for HR+/HER2-.

CONCLUSION

Site and fatality of de-novo mets vary by subtype and by race. This information may help improve risk stratification and post-diagnostic surveillance to ultimately reduce BC mortality.

Factors associated with being diagnosed with high severity of breast cancer: a population-based study in Queensland, Australia

PURPOSE

This study explores factors that are associated with the severity of breast cancer (BC) at diagnosis.

METHODS

Interviews were conducted among women (n = 3326) aged 20-79 diagnosed with BC between 2011 and 2013 in Queensland, Australia. High-severity cancers were defined as either Stage II-IV, Grade 3, or having negative hormone receptors at diagnosis. Logistic regression models were used to estimate odds ratios (ORs) of high severity BC for variables relating to screening, lifestyle, reproductive habits, family history, socioeconomic status, and area disadvantage.

RESULTS

Symptom-detected women had greater odds (OR 3.38, 2.86-4.00) of being diagnosed with high-severity cancer than screen-detected women. Women who did not have regular mammograms had greater odds (OR 1.78, 1.40-2.28) of being diagnosed with high-severity cancer than those who had mammograms biennially. This trend was significant in both screen-detected and symptom-detected women. Screen-detected women who were non-smokers (OR 1.77, 1.16-2.71), postmenopausal (OR 2.01, 1.42-2.84), or employed (OR 1.46, 1.15-1.85) had greater odds of being diagnosed with high-severity cancer than those who were current smokers, premenopausal, or unemployed. Symptom-detected women being overweight (OR 1.67, 1.31-2.14), postmenopausal (OR 2.01, 1.43-2.82), had hormone replacement therapy (HRT) < 2 years (OR 1.60, 1.02-2.51) had greater odds of being diagnosed with high-severity cancer than those of healthy weight, premenopausal, had HRT > 10 years.

CONCLUSION

Screen-detected women and women who had mammograms biennially had lower odds of being diagnosed with high-severity breast cancer, which highlighted the benefit of regular breast cancer screening. Women in subgroups who are more likely to have more severe cancers should be particularly encouraged to participate in regular mammography screening.

Analysis of Mortality and Survival Rate of Liver Cancer in Zhejiang Province in China: A General Population-Based Study

Background

Few accurate up-to-date studies provide liver cancer mortality and survival information in Zhejiang province. This research aimed to depict the mortality and survival of liver cancer in Zhejiang province in China during 2005-2010.

Methods

The data were collected from the Zhejiang Chronic Disease Surveillance Information and Management System, and the mortality rates of liver cancer were calculated by gender, age, and areas. Chinese population census in 2000 and Segi's world population were used for age-standardized mortality rate. The observed and relative survival rates of liver cancer patients were analyzed.

Results

The crude mortality rate of liver cancer was 32.11/105. The age-standardized mortality rate was 17.39/105 and 23.07/105 by Chinese population (ASIRC) and Segi's world population (ASIRW), respectively. The crude liver cancer mortality rate and age-standardized rate in urban areas were lower than those of rural areas. The overall 1-, 3-, and 5-year observed survival (OS) rates of liver cancer patients were 38.61%, 21.65%, and 16.83%, respectively. The 1-, 3-, and 5-year relative survival (RS) rates of liver cancer patients were 39.49%, 23.27%, and 19.09%, respectively. Survival rate decreased obviously within 1 to 5 years and then leveled off. It was shown that the male overall survival rate was higher than the female one and the difference was statistically significant (P<0.05).

Conclusions

Both lower mortality and better survival rates were observed in urban areas, compared to rural areas. Relevant parties including government, public resource, and propaganda department should devote enough attention to rural areas.

Disadvantaged neighborhoods and racial disparity in breast cancer outcomes: the biological link

Neighborhoods encompass complex environments comprised of unique economic, physical, and social characteristics that have a profound impact on the residing individual's health and, collectively, on the community's wellbeing. Neighborhood disadvantage (ND) is one of several factors that prominently contributes to racial breast cancer (BC) health disparities in American women. African American (AA) women develop more aggressive breast cancer features, such as triple-negative receptor status and more advanced histologic grade and tumor stage, and suffer worse clinical outcomes than European American (EA) women. While the adverse effects of neighborhood disadvantage on health, including increased risk of cancer and decreased longevity, have recently come into focus, the specific molecular mechanisms by which neighborhood disadvantage increases BC risk and worsens BC outcomes (survivorship, recurrence, mortality) are not fully elucidated. This review illuminates the probable biological links between neighborhood disadvantage and predominantly BC risk, with an emphasis on stress reactivity and inflammation, epigenetics and telomere length in response to adverse neighborhood conditions.

Racial Differences in Time to Breast Cancer Surgery and Overall Survival in the US Military Health System

Importance

Racial disparities in time to surgery (TTS) after a breast cancer diagnosis and whether these differences account for disparities in overall survival have been understudied in the US population.

Objectives

To compare TTS in non-Hispanic black (NHB) and non-Hispanic white (NHW) women with breast cancer and to examine whether racial differences in TTS may explain possible racial disparities in overall survival in a universal health care system.

Design, Setting, and Participants

Retrospective cohort identified from the Department of Defense Central Cancer Registry and Military Health System Data Repository linked databases containing records between January 1, 1998, and December 31, 2008, of 998 NHB women and 3899 NHW women who received a diagnosis of stages I to III breast cancer and underwent breast-conserving surgery (BCS) or mastectomy in the US Military Health System during the study period. Data analyses were conducted from July 5, 2017, to December 29, 2017.

Main Outcomes and Measures

The main outcome was time to breast cancer surgery. Non-Hispanic black and NHW women were compared at the 25th, 50th (median), 75th, and 90th percentiles of TTS by using multivariable quantile regression. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs for all-cause death in NHB compared with NHW women after controlling for potential confounders first without and then with TTS.

Results

Among the 4887 NHB and NHW women in the cohort, the mean (SD) age was 50.0 (9.4) years. The median TTS was 21 days (95% CI, 20.6-21.4 days) among NHW women and 22 days (95% CI, 20.6-23.4 days) among NHB women. Non-Hispanic black women had a significantly greater estimated TTS at the 75th (3.6 days; 95% CI, 1.6-5.5 days) and 90th (8.9 days; 95% CI, 5.1-12.6 days) percentiles than NHW women in multivariable models. The estimated differences were similar by surgery type. Non-Hispanic black women had a higher adjusted risk for death (HR, 1.45; 95% CI, 1.06-2.01) compared with NHW women among patients receiving breast-conserving surgery. The risks were similar between races among those receiving mastectomy (HR, 1.06; 95% CI, 0.76-1.48). The HRs remained similar after adding TTS to the Cox proportional hazards regression models.

Conclusions and Relevance

This study's results indicate that time to breast cancer surgery was delayed for NHB compared with NHW women in the Military Health System. However, the racial differences in TTS did not explain the observed racial differences in overall survival among women who received breast-conserving surgery.

Mapping hot spots of breast cancer mortality in the United States: place matters for Blacks and Hispanics

PURPOSE

The goals of this study were to identify geographic and racial/ethnic variation in breast cancer mortality, and evaluate whether observed geographic differences are explained by county-level characteristics.

METHODS

We analyzed data on breast cancer deaths among women in 3,108 contiguous United States (US) counties from years 2000 through 2015. We applied novel geospatial methods and identified hot spot counties based on breast cancer mortality rates. We assessed differences in county-level characteristics between hot spot and other counties using Wilcoxon rank-sum test and Spearman correlation, and stratified all analysis by race/ethnicity.

RESULTS

Among all women, 80 of 3,108 (2.57%) contiguous US counties were deemed hot spots for breast cancer mortality with the majority located in the southern region of the US (72.50%, p value < 0.001). In race/ethnicity-specific analyses, 119 (3.83%) hot spot counties were identified for NH-Black women, with the majority being located in southern states (98.32%, p value < 0.001). Among Hispanic women, there were 83 (2.67%) hot spot counties and the majority was located in the southwest region of the US (southern = 61.45%, western = 33.73%, p value < 0.001). We did not observe definitive geographic patterns in breast cancer mortality for NH-White women. Hot spot counties were more likely to have residents with lower education, lower household income, higher unemployment rates, higher uninsured population, and higher proportion indicating cost as a barrier to medical care.

CONCLUSIONS

We observed geographic and racial/ethnic disparities in breast cancer mortality: NH-Black and Hispanic breast cancer deaths were more concentrated in southern, lower SES counties.

Mediating Effects of Frailty Indicators on the Risk of Sepsis After Cancer

BACKGROUND

Cancer survivors are at increased risk of sepsis, possibly attributed to weakened physiologic conditions. The aims of this study were to examine the mediation effect of indicators of frailty on the association between cancer survivorship and sepsis incidence and whether these differences varied by race.

METHODS

We performed a prospective analysis using data from the REasons for Geographic and Racial Differences in Stroke cohort from years 2003 to 2012. We categorized frailty as the presence of ≥2 frailty components (weakness, exhaustion, and low physical activity). We categorized participants as "cancer survivors" or "no cancer history" derived from self-reported responses of being diagnosed with any cancer. We examined the mediation effect of frailty on the association between cancer survivorship and sepsis incidence using Cox regression. We repeated analysis stratified by race.

RESULTS

Among 28 062 eligible participants, 2773 (9.88%) were cancer survivors and 25 289 (90.03%) were no cancer history participants. Among a total 1315 sepsis cases, cancer survivors were more likely to develop sepsis (12.66% vs 3.81%, P < .01) when compared to participants with no cancer history (hazard ratios: 2.62, 95% confidence interval: 2.31-2.98, P < .01). The mediation effects of frailty on the log-hazard scale were very small: weakness (0.57%), exhaustion (0.31%), low physical activity (0.20%), frailty (0.75%), and total number of frailty indicators (0.69%). Similar results were observed when stratified by race.

CONCLUSION

Cancer survivors had more than a 2-fold increased risk of sepsis, and indicators of frailty contributed to less than 1% of this disparity.

A prospective study of cancer survivors and risk of sepsis within the REGARDS cohort

BACKGROUND

Hospitalized cancer patients are nearly 10 times more likely to develop sepsis when compared to patients with no cancer history. We compared the risk of sepsis between cancer survivors and no cancer history participants, and examined whether race was an effect modifier.

METHODS

We performed a prospective analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. We categorized participants as "cancer survivors" or "no cancer history" derived from self-reported responses of being diagnosed with any cancer, excluding non-melanoma skin cancer. We defined sepsis as hospitalization for a serious infection with ≥2 systemic inflammatory response syndrome criteria. We performed Cox proportional hazard models to examine the risk of sepsis after cancer (adjusted for sociodemographics, health behaviors, and comorbidities), and stratified by race.

RESULTS

Among 29,693 eligible participants, 2959 (9.97%) were cancer survivors, and 26,734 (90.03%) were no cancer history participants. Among 1393 sepsis events, the risk of sepsis was higher for cancer survivors (adjusted HR: 2.61, 95% CI: 2.29-2.98) when compared to no cancer history participants. Risk of sepsis after cancer survivorship was similar for Black and White participants (p value for race and cancer interaction = 0.63).

CONCLUSION

In this prospective cohort of community-dwelling adults we observed that cancer survivors had more than a 2.5-fold increased risk of sepsis. Public health efforts should attempt to mitigate sepsis risk by awareness and appropriate treatment (e.g., antibiotic administration) to cancer survivors with suspected infection regardless of the number of years since cancer remission.

Understanding Disparities in Breast Cancer Care in Memphis, Tennessee

Although significant progress has been made in improving breast cancer survival, disparities among racial, ethnic, and underserved groups still exist. The goal of this investigation is to quantify racial disparities in the context of breast cancer care, examining the outcomes of recurrence and mortality in the city of Memphis. Patients with a biopsy-proven diagnosis of breast cancer from January 1, 2002, through December 31, 2012, were obtained from the tumor registry. Black patients were more likely to have advanced (II, III, or IV) clinical stage of breast cancer at diagnosis versus white patients. Black breast cancer patients had a two times higher odds of recurrence (95% confidence interval: 1.4, 3.0) after adjusting for race and clinical stage. Black breast cancer patients were 1.5 times more likely to die (95% confidence interval: 1.2, 1.8), after adjusting for race; age at diagnosis; clinical stage; ER, PR, HER2 status; and recurrence. Black women with stages 0, I, II, and III breast cancer all had a statistically significant longer median time from diagnosis to surgery than white women. Black patients were more likely to have advanced clinical stages of breast cancer at diagnosis versus white patients on a citywide level in Memphis. Black breast cancer patients have higher odds of recurrence and mortality when compared with white breast cancer patients, after adjusting for appropriate demographic and clinical attributes. More work is needed to develop, evaluate, and disseminate interventions to decrease inequities in timeliness of care for breast cancer patients.

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.

Patient Preferences for Primary Care Provider Roles in Breast Cancer Survivorship Care

Purpose Prior studies have suggested a need for greater clarity about provider roles in team-based cancer care; however, little is known about patients' preferences regarding which providers handle their care needs after primary cancer treatment. Methods We surveyed women with newly diagnosed stages 0 to II breast cancer who were treated in 2014 and 2015 as reported to the Georgia and Los Angeles SEER registries (N = 2,372; 68% response rate). Patient preferences regarding which provider handles the following care needs after treatment were ascertained: follow-up mammograms, screening for other cancers, general preventive care, and comorbidity management. Associations between patient demographic factors with preferences for provider roles-oncology-directed care versus primary care provider (PCP)-directed care-were assessed by using multivariable logistic regression. Results The majority of women preferred that their PCPs handle general preventive care (79%) and comorbidity care (84%), but a notable minority of women preferred that their oncologists direct this care (21% and 16%, respectively). Minority women-black and Asian versus white-and women with a high school education or less-versus undergraduate college education or more-displayed greater odds of preferring oncology-directed care-versus PCP-directed care-for their general preventive care (black odds ratio [OR], 2.01; 95% CI, 1.43 to 2.82; Asian OR, 1.74; 95% CI, 1.13 to 2.69; high school education or less OR, 1.51; 95% CI, 1.10 to 2.08). Similar variations existed for comorbidity care. Conclusion In this sample, minority women and those with less education more often preferred that oncologists direct certain aspects of their care after breast cancer treatment that are normally delivered by a PCP. Efforts to clarify provider roles in survivorship care to patients may be effective in improving team-based cancer care.

Influence of clinical, societal, and treatment variables on racial differences in ER-/PR- breast cancer survival

BACKGROUND

African American (AA) women with breast cancer have persistently higher mortality compared to whites. We evaluated racial disparities in mortality among women with estrogen receptor (ER)/progesterone receptor (PR)-negative breast cancer.

METHODS

The study population included 542 women (45% AA) diagnosed with ER/PR-negative Stage I through III breast cancer treated at the Henry Ford Health System (HFHS) between 1996 and 2005. Linked datasets from HFHS, Metropolitan Detroit Cancer Surveillance System, and the U.S. Census Bureau were used to obtain demographic, socioeconomic, and clinical information. Economic deprivation was categorized using a previously validated deprivation index, which included 5 categories based on the quintile of census tract socioeconomic deprivation. Cox proportional hazards models were used to assess the relationship between race and mortality.

RESULTS

AA women were more likely to have larger tumors, have higher Charlson Comorbidity Indices (CCI), and to reside in economically deprived areas. In an unadjusted analysis, AA women demonstrated a significantly higher risk of death compared to whites [hazard ratio (HR) 1.47, 95% confidence interval (CI) 1.09-2.00]. Following adjustment for clinical factors (age, stage, CCI) and treatment (radiation and chemotherapy), AA race continued to have a significant impact on mortality (HR 1.51, CI 1.10-2.08 and HR 1.63, CI 1.20-2.21). Only after adjusting for deprivation was race no longer significant (HR 1.26, CI 0.84-1.87).

CONCLUSIONS

Social determinants of health play a large role in explaining racial disparities in breast cancer outcomes, especially among women with aggressive subtypes.

Relationship of Social Determinants of Health with the Three-year Survival Rate of Breast Cancer

Background: Social determinants of health are among the key factors affecting the pathogenesis of diseases. Considering the increasingly high prevalence of breast cancer and the association of social determinants of health with its occurrence, related morbidity and mortality and survival rate, this study sought to assess the relationship of three-year survival rate of breast cancer with social determinants of health. Materials and Methods: This cohort study was conducted on males and females presenting to the Cancer Research Center of Shohada-E-Tajrish Hospital from 2006 to 2010 with definite diagnosis of breast cancer. Data were collected via phone interviews. Kaplan-Meier and Cox regression was fitted using SPSS (version 18) and PH assumption was tested by STATA (version 11) software. Results: The study was performed on 797 breast cancer patients, aged 25-93 years with mean age of 54.66 (SD=11.86) years. After 3 years from diagnosing cancer 700 (87.8%) patients were alive and 97 (12.2%) patients were dead. Using log rank test, there was relationship between 3-year survivals with age, education, childhood residence, sibling, treatment type, and district were significant (p<0.05). Using Cox PH regression, 3-year survival was related to age, level of education, municipal district of residence and childhood condition (p<0.05). Conclusion: Social determinants of health such as childhood condition, city region residency, level of education and age affect the three-year survival rate of breast cancer. Future studies must focus on the effect of childhood social class on the survival rates of cancers, which have been paid less attention to.

Socio-economic disparities in long-term cancer survival-10 year follow-up with individual patient data

PURPOSE

Reasons for the social gradient in cancer survival are not fully understood yet. Previous studies were often only able to determine the socio-economic status of the patients from the area they live in, not from their individual socio-economic characteristics.

METHODS

In a multi-centre cohort study with 1633 cancer patients and 10-year follow-up, individual socio-economic position was measured using the indicators: education, job grade, job type, and equivalence income. The effect on survival was measured for each indicator individually, adjusting for age, gender, and medical characteristics. The mediating effect of health behaviour (alcohol and tobacco consumption) was analysed in separate models.

RESULTS

Patients without vocational training were at increased risk of dying (rate ratio (RR) 1.5, 95% confidence interval (CI) 1.1-2.2) compared to patients with the highest vocational training; patients with blue collar jobs were at increased risk (RR 1.2; 95% CI 1.0-1.5) compared to patients with white collar jobs; income had a gradual effect (RR for the lowest income compared to highest was 2.7, 95% CI 1.9-3.8). Adding health behaviour to the models did not change the effect estimates considerably. There was no evidence for an effect of school education and job grade on cancer survival.

CONCLUSIONS

Patients with higher income, better vocational training, and white collar jobs survived longer, regardless of disease stage at baseline and of tobacco and alcohol consumption.

Racial and Ethnic Differences in End-of-Life Medicare Expenditures

OBJECTIVES

To determine to what extent demographic, social support, socioeconomic, geographic, medical, and End-of-Life (EOL) planning factors explain racial and ethnic variation in Medicare spending during the last 6 months of life.

DESIGN

Retrospective cohort study.

SETTING

Health and Retirement Study (HRS).

PARTICIPANTS

Decedents who participated in HRS between 1998 and 2012 and previously consented to survey linkage with Medicare claims (N = 7,105).

MEASUREMENTS

Total Medicare expenditures in the last 180 days of life according to race and ethnicity, controlling for demographic factors, social supports, geography, illness burden, and EOL planning factors, including presence of advance directives, discussion of EOL treatment preferences, and whether death had been expected.

RESULTS

The analysis included 5,548 (78.1%) non-Hispanic white, 1,030 (14.5%) non-Hispanic black, and 331 (4.7%) Hispanic adults and 196 (2.8%) adults of other race or ethnicity. Unadjusted results suggest that average EOL Medicare expenditures were $13,522 (35%, P < .001) more for black decedents and $16,341 (42%, P < .001) more for Hispanics than for whites. Controlling for demographic, socioeconomic, geographic, medical, and EOL-specific factors, the Medicare expenditure difference between groups fell to $8,047 (22%, P < .001) more for black and $6,855 (19%, P < .001) more for Hispanic decedents than expenditures for non-Hispanic whites. The expenditure differences between groups remained statistically significant in all models.

CONCLUSION

Individuals-level factors, including EOL planning factors do not fully explain racial and ethnic differences in Medicare spending in the last 6 months of life. Future research should focus on broader systemic, organizational, and provider-level factors to explain these differences.

The Effect of Patient and Contextual Characteristics on Racial/Ethnic Disparity in Breast Cancer Mortality

BACKGROUND

Racial/ethnic disparity in breast cancer-specific mortality in the United States is well documented. We examined whether accounting for racial/ethnic differences in the prevalence of clinical, patient, and lifestyle and contextual factors that are associated with breast cancer-specific mortality can explain this disparity.

METHODS

The California Breast Cancer Survivorship Consortium combined interview data from six California-based breast cancer studies with cancer registry data to create a large, racially diverse cohort of women with primary invasive breast cancer. We examined the contribution of variables in a previously reported Cox regression baseline model plus additional contextual, physical activity, body size, and comorbidity variables to the racial/ethnic disparity in breast cancer-specific mortality.

RESULTS

The cohort comprised 12,098 women. Fifty-four percent were non-Latina Whites, 17% African Americans, 17% Latinas, and 12% Asian Americans. In a model adjusting only for age and study, breast cancer-specific HRs relative to Whites were 1.69 (95% CI, 1.46-1.96), 1.00 (0.84-1.19), and 0.52 (0.33-0.85) for African Americans, Latinas, and Asian Americans, respectively. Adjusting for baseline-model variables decreased disparity primarily by reducing the HR for African Americans to 1.13 (0.96-1.33). The most influential variables were related to disease characteristics, neighborhood socioeconomic status, and smoking status at diagnosis. Other variables had negligible impact on disparity.

CONCLUSIONS

Although contextual, physical activity, body size, and comorbidity variables may influence breast cancer-specific mortality, they do not explain racial/ethnic mortality disparity.

IMPACT

Other factors besides those investigated here may explain the existing racial/ethnic disparity in mortality. Cancer Epidemiol Biomarkers Prev; 25(7); 1064-72. ©2016 AACR.

Racial disparities in individual breast cancer outcomes by hormone-receptor subtype, area-level socio-economic status and healthcare resources

The aim of the study is to determine the influence of area-level socio-economic status and healthcare access in addition to tumor hormone-receptor subtype on individual breast cancer stage, treatment, and mortality among Non-Hispanic (NH)-Black, NH-White, and Hispanic US adults. Analysis was based on 456,217 breast cancer patients in the SEER database from 2000 to 2010. Multilevel and multivariable-adjusted logistic and Cox proportional hazards regression analysis was conducted to account for clustering by SEER registry of diagnosis. NH-Black women had greater area-level access to healthcare resources compared with women of other races. For instance, the average numbers of oncology hospitals per million population in counties with NH-Black, NH-White, and Hispanic women were 8.1, 7.7, and 5.0 respectively; average numbers of medical doctors per million in counties with NH-Black, NH-White, and Hispanic women were 100.7, 854.0, and 866.3 respectively; and average number of Ob/Gyn in counties with NH-Black, NH-White, and Hispanic women was 155.6, 127.4, and 127.3, respectively (all p values <0.001). Regardless, NH-Black women (HR 1.39, 95 % CI 1.36-1.43) and Hispanic women (HR 1.05, 95 % CI 1.03-1.08) had significantly higher breast cancer mortality compared with NH-White women even after adjusting for hormone-receptor subtype, area-level socio-economic status, and area-level healthcare access. In addition, lower county-level socio-economic status and healthcare access measures were significantly and independently associated with stage at presentation, surgery, and radiation treatment as well as mortality after adjusting for age, race/ethnicity, and HR subtype. Although breast cancer HR subtype is a strong, important, and consistent predictor of breast cancer outcomes, we still observed significant and independent influences of area-level SES and HCA on breast cancer outcomes that deserve further study and may be critical to eliminating breast cancer outcome disparities.

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.

Racial Disparities in Extremity Soft-Tissue Sarcoma Outcomes: A Nationwide Analysis

BACKGROUND

Racial disparities in access and survival have been reported in a variety of cancers. These issues, however, have yet to be explored in detail in patients with soft-tissue sarcomas (STS). The purpose of this paper was to investigate the independent role of race with respect to survival outcomes in STS.

METHODS

A total of 7601 patients were evaluated in this study. A SEER registry query for patients over 20 years old with extremity STS diagnosed between 2004 and 2009 (n=7225) was performed. Survival outcomes were analyzed after patients were stratified by race. Multivariable survival models were used to identify independent predictors of sarcoma-specific death. The Wilcoxon rank-sum test was used to compare continuous variables. Statistical significance was maintained at P<0.05.

RESULTS

This study showed that African American patients were more likely to die of their STS. They were younger at presentation (P=0.001), had larger tumors (P<0.001), had less surgery (P=0.002), received radiotherapy less frequently (P=0.024), had higher family income (P<0.001), and were less likely to be married (P<0.001). African American race by itself was not an independent predictor of death.

CONCLUSIONS

African Americans encounter death due to STS at a much larger proportion and faster rate than their respective white counterparts. African Americans frequently present with a larger size tumor, do not undergo surgical resection, or receive radiation therapy as frequently as compared with their white peers. Barriers to timely and appropriate care should be further investigated in this group of at-risk patients.

Area-level Socioeconomic Inequalities in the Use of Mammography Screening: A Multilevel Analysis of the Health of Houston Survey

BACKGROUND

An emerging literature reports that women who reside in socioeconomically deprived communities are less likely to adhere to mammography screening. This study explored associations between area-level socioeconomic measures and mammography screening among a racially and ethnically diverse sample of women in Texas.

METHODS

We conducted a cross-sectional, multilevel study linking individual-level data from the 2010 Health of Houston Survey and contextual data from the U.S. Census. Women ages 40 to 74 years (n = 1,541) were included in the analyses. We examined tract-level poverty, unemployment, education, Hispanic and Black composition, female-headed householder families, and crowding as contextual measures. Using multilevel logistic regression modeling, we compared most disadvantaged tracts (quartiles 2-4) to the most advantaged tract (quartile 1).

RESULTS

Overall, 64% of the sample was adherent to mammography screening. Screening rates were lower (p < .05) among Hispanics, those foreign born, women aged 40 to 49 years, and those with low educational attainment, unemployed, and without health insurance coverage. Women living in areas with high levels of poverty (quartile 2 vs. 1: odds ratio [OR], 0.50; 95% CI, 0.30-0.85), Hispanic composition (quartile 3 vs. 1: OR, 0.54; 95% CI, 0.32-0.90), and crowding (quartile 4 vs. 1: OR, 0.53; 95% CI, 0.29-0.96) were less likely to have up-to-date mammography screening, net of individual-level factors.

CONCLUSION

Our findings highlight the importance of examining area-level socioeconomic inequalities in mammography screening. The study represents an advance on previous research because we examined multiple area measures, controlled for key individual-level covariates, used data aggregated at the tract level, and accounted for the nested structure of the data.

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.

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

BACKGROUND

US breast cancer deaths have been declining since 1989, but African American women are still more likely than white women to die of breast cancer. Black/white disparities in breast cancer mortality rate ratios have actually been increasing.

METHODS

Across 762 US counties with enough deaths to generate reliable rates, county-level, age-adjusted breast cancer mortality rates were examined for women who were 35 to 74 years old during the period of 1989-2010. Twenty-two years of mortality data generated twenty 3-year rolling average data points, each centered on a specific year from 1990 to 2009. Mixed linear models were used to group each county into 1 of 4 mutually exclusive trend patterns. The most recent 3-year average black breast cancer mortality rate for each county was also categorized as being worse or not worse than the breast cancer mortality rate for the total US population.

RESULTS

More than half of the counties (54%) showed persistent, unchanging disparities. Roughly 1 in 4 (24%) had a divergent pattern of worsening black/white disparities. However, 10.5% of the counties sustained racial equality over the 20-year period, and 11.7% of the counties actually showed a converging pattern from high disparities to greater equality. Twenty-three counties had 2008-2010 black mortality rates better than the US average mortality rate.

CONCLUSIONS

Disparities are not inevitable. Four US counties have sustained both optimal and equitable black outcomes as measured by both absolute (better than the US average) and relative benchmarks (equality in the local black/white rate ratio) for decades, and 6 counties have shown a path from disparities to health equity.

Breast cancer survival in African-American women by hormone receptor subtypes

Breast cancer accounts for over 200,000 annual cases among women in the United States, and is the second leading cause of cancer-related deaths. However, few studies have investigated the association between breast cancer subtype and survival among African-American women. We analyzed cancer-related deaths among African-American women using data obtained from the SEER database linked to the 2000 U.S. census data. We examined distribution of baseline socio-demographic and clinical characteristics by breast cancer subtypes and used Cox proportional hazard models to determine associations between breast cancer subtypes and cancer-related mortality, adjusting for age, socio-economic status, stage at diagnosis, and treatment. Among 19,836 female breast cancer cases, 54.4% were diagnosed with the HER2-/HR+ subtype, with the majority of those cases occurring among women ages 55 and older. However, after adjusting for age, stage, and treatment type (surgery, radiation, or no radiation and/or cancer-directed surgery), TNBC (HR 2.34; 95% CI 1.95-2.81) and HER2+/HR- (HR 1.39, 95% CI 1.08-1.79) cases had significantly higher hazards of cancer-related deaths compared with HER2+/HR+ cases. Adjusting for socio-economic status did not significantly alter these associations. African-American women with TNBC were more likely to have a cancer-related death than African-American women with other breast cancer subtypes. This association remained after adjustments for age, stage, treatment, and socio-economic status. Further studies are needed to identify subtype-specific risk and prognostic factors aimed at better informing prevention efforts for all women.

The Influence of Socioeconomic Status on Racial/Ethnic Disparities among the ER/PR/HER2 Breast Cancer Subtypes

Background. The eight ER/PR/HER2 breast cancer subtypes vary widely in demographic and clinicopathologic characteristics and survival. This study assesses the contribution of SES to the risk of mortality for blacks, Hispanics, Asian/Pacific Islanders, and American Indians when compared with white women for each ER/PR/HER2 subtype. Methods. We identified 143,184 cases of first primary female invasive breast cancer from the California Cancer Registry between 2000 and 2012. The risk of mortality was computed for each race/ethnicity within each ER/PR/HER2 subtype. Models were adjusted for tumor grade, year of diagnosis, and age. SES was added to a second set of models. Analyses were conducted separately for each stage. Results. Race/ethnicity did not contribute to the risk of mortality for any subtype in stage 1 when adjusted for SES. In stages 2, 3, and 4, race/ethnicity was associated with risk of mortality and adjustment for SES changed the risk only in some subtypes. SES reduced the risk of mortality by over 45% for American Indians with stage 2 ER+/PR+/HER2− cancer, but it decreased the risk of mortality for blacks with stage 2 triple negative cancer by less than 4%. Conclusions. Racial/ethnic disparities do not exist in all ER/PR/HER2 subtypes and, in general, SES modestly alters these disparities.

Race/ethnicity and socio-economic differences in breast cancer surgery outcomes

BACKGROUND

The purpose of this study is to evaluate racial and socio-economic differences in breast cancer surgery treatment, post-surgical complications, hospital length of stay and mortality among hospitalized breast cancer patients.

METHODS

We examined the association between race/ethnicity and socio-economic status with treatment and outcomes after surgery among 71,156 women hospitalized with a primary diagnosis of breast cancer using the Nationwide Inpatient Sample database from 2007 to 2011. Multivariable regression models were used to compute estimates, odds ratios and 95% confidence intervals adjusting for age, comorbidities, stage at diagnosis, insurance, and residential region.

RESULTS

Black women were more likely to receive breast conserving surgery but less likely to receive mastectomies compared with white women. They also experienced significantly longer hospital stays (β=0.31, 95% CI: 0.24, 0.39), post-surgical complications (OR=1.21, 95% CI: 1.04-1.42) and in-hospital mortality (OR=1.26, 95% CI: 1.07-1.50) compared with Whites, after adjusting for other factors including the number of comorbidities and treatment type.

CONCLUSION

Among patients hospitalized for breast cancer, there were racial differences observed in treatment and outcomes. Further studies are needed to fully characterize whether these differences are due to individual, provider level or hospital level factors, and to highlight areas for targeted approaches to eliminate these disparities.

Racial differences in breast cancer survival in a large urban integrated health system

BACKGROUND

African American (AA) women are known to have poorer breast cancer survival than whites, and the differences may be related to underlying disparities in their clinical presentation or access to care. This study evaluated the relationship between demographic, treatment, and socioeconomic factors and breast cancer survival among women in southeast Michigan.

METHODS

The population included 2387 women (34% AA) with American Joint Committee on Cancer stage I to III breast cancer who were treated at the Henry Ford Health System (HFHS) from 1996 through 2005. Linked data sets from the HFHS, the Metropolitan Detroit Cancer Surveillance System, and the US Census Bureau were used to obtain demographic and clinical information. Comorbidities were classified with the modified Charlson comorbidity index (CCI). Economic deprivation was categorized with a census tract-based deprivation index (DI), which was stratified into 5 quintiles of increasing socioeconomic disadvantage.

RESULTS

Compared with whites, AA women were significantly more likely to have larger, hormone receptor-negative tumors and more comorbidities and to reside in an economically deprived area. In an unadjusted analysis, AAs had a significantly higher risk of death (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.16-1.59); however, after adjustments for clinical (age, stage, hormone receptor, and CCI) and societal factors (DI), the effect of race was not significant (HR, 1.13 [95% CI, 0.96-1.34] , and HR, 0.97 [0.80-1.19] respectively).

CONCLUSIONS

Racial differences in breast cancer survival can be explained by clinical and socioeconomic factors. Nonetheless, AA women with breast cancer remain disproportionately affected by unfavorable tumor characteristics and economic deprivation, which likely contribute to their increased overall mortality.

Racial disparity in survival from early breast cancer in the department of defense healthcare system

BACKGROUND

Racial disparity is often identified as a factor in survival from breast cancer in the United States. Current data regarding survival in patients treated in the Department of Defense Military Healthcare System is lacking.

METHODS

The Department of Defense Automated Central Tumor Registry (ACTUR) was queried for all women diagnosed with Stage I or II breast cancer from January 1, 1996 through December 31, 2008. Statistical analyses evaluated demographics, surgical treatment, tumor stage, and survival rates.

RESULTS

There were 8,890 patients meeting inclusion criteria. Patients who were younger, Asian American (versus white or black), lower T and/or N stage had significantly improved survival rates. Interestingly, white and black patients demonstrated similar survival in this study. Patients with a longer period of time between diagnosis and treatment had no decrement in survival. As would be expected, patients with a longer recurrence free period enjoyed longer survival.

CONCLUSIONS

Survival from early stage breast cancer is equivalent between white and black patients in the Department of Defense Healthcare System. This finding is contrary to reports from our civilian counterparts and may be indicative of improved access to care and overall improved cancer surveillance.

Residential environment and breast cancer incidence and mortality: a systematic review and meta-analysis

BACKGROUND

Factors beyond the individual level such as those characterizing the residential environment may be important to breast cancer outcomes. We provide a systematic review and results of meta-analysis of the published empirical literature on the associations between breast cancer risk and mortality and features of the residential environment.

METHODS

Using PRISMA guidelines, we searched four electronic databases and manually searched the references of selected articles for studies that were published before June 2013. We selected English language articles that presented data on adult breast cancer incidence or mortality in relation to at least one area-based residential (ABR) independent variable.

RESULTS

We reviewed 31 eligible studies, and observed variations in ABR construct definition and measurement, study design, and analytic approach. The most common ABR measures were indicators of socioeconomic status (SES) (e.g., income, education, summary measures of several SES indicators or composite SES). We observed positive associations between breast cancer incidence and urbanization (Pooled RR for urban vs. rural: 1.09. 95% CI: 1.01, 1.19), ABR income (Pooled RR for highest vs. lowest ABR income: 1.17, 95% CI: 1.15, 1.19) and ABR composite SES (Pooled RR for highest vs. lowest ABR composite SES: 1.25, 95% CI: 1.08, 1.44). We did not observe consistent associations between any ABR measures and breast cancer mortality.

CONCLUSIONS

The findings suggest modest positive associations between urbanization and residential area socioeconomic environment and breast cancer incidence. Further studies should address conceptual and methodological gaps in the current publications to enable inference regarding the influence of the residential environment on breast cancer.

Neighborhood socioeconomic deprivation, tumor subtypes, and causes of death after non-metastatic invasive breast cancer diagnosis: a multilevel competing-risk analysis

The purpose of this study is to examine the associations of neighborhood socioeconomic deprivation and triple-negative breast cancer (TNBC) subtype with causes of death [breast cancer (BC)-specific and non-BC-specific] among non-metastatic invasive BC patients. We identified 3,312 patients younger than 75 years (mean age 53.5 years; 621 [18.8 %] TNBC) with first primary BC treated at an academic medical center from 1999 to 2010. We constructed a census-tract-level socioeconomic deprivation index using the 2000 U.S. Census data and performed a multilevel competing-risk analysis to estimate the hazard ratios (HR) and 95 % confidence intervals (CI) of BC-specific and non-BC-specific mortality associated with neighborhood socioeconomic deprivation and TNBC subtype. The adjusted models controlled for patient sociodemographics, health behaviors, tumor characteristics, comorbidity, and cancer treatment. With a median 62-month follow-up, 349 (10.5 %) patients died; 233 died from BC. In the multivariate models, neighborhood socioeconomic deprivation was independently associated with non-BC-specific mortality (the most- vs. the least-deprived quartile: HR = 2.98, 95 % CI = 1.33-6.66); in contrast, its association with BC-specific mortality was explained by the aforementioned patient-level covariates, particularly sociodemographic factors (HR = 1.15, 95 % CI = 0.71-1.87). TNBC subtype was independently associated with non-BC-specific mortality (HR = 2.15; 95 % CI = 1.20-3.84), while the association between TNBC and BC-specific mortality approached significance (HR = 1.42; 95 % CI = 0.99-2.03, P = 0.057). Non-metastatic invasive BC patients who lived in more socioeconomically deprived neighborhoods were more likely to die as a result of causes other than BC compared with those living in the least socioeconomically deprived neighborhoods. TNBC was associated with non-BC-specific mortality but not BC-specific mortality.

Rural residence and cancer outcomes in the United States: issues and challenges

"Neighborhoods and health" research has shown that area social factors are associated with the health outcomes that patients with cancer experience across the cancer control continuum. To date, most of this research has been focused on the attributes of urban areas that are associated with residents' poor cancer outcomes with less focused on attributes of rural areas that may be associated with the same. Perhaps because there is not yet a consensus in the United States regarding how to define "rural," there is not yet an accepted analytic convention for studying issues of how patients' cancer outcomes may vary according to "rural" as a contextual attribute. The research that exists reports disparate findings and generally treats rural residence as a patient attribute rather than a contextual factor, making it difficult to understand what factors (e.g., unmeasured individual poverty, area social deprivation, area health care scarcity) may be mediating the poor outcomes associated with rural (or non-rural) residence. Here, we review literature regarding the potential importance of rural residence on cancer patients' outcomes in the United States with an eye towards identifying research conventions (i.e., spatial and analytic) that may be useful for future research in this important area.

Race and breast cancer survival by intrinsic subtype based on PAM50 gene expression

To evaluate whether differences in PAM50 breast cancer (BC) intrinsic (Luminal A, Luminal B, Basal-like, and HER2-enriched) subtypes help explain the Black-White BC survival disparity. Utilizing a stratified case-cohort design, this study included 1,635 women from the Pathways and Life After Cancer Epidemiology cohorts, selecting women with tumors based upon IHC classification, recurrences, and deaths.One millimeter punches were obtained from tumor tissue, and expression of the PAM50 genes for molecular subtype was determined by RT-qPCR of extracted RNA. Cox proportional hazards models were used to analyze associations between race and BC outcomes, adjusted for PAM50 BC subtype. All tests of statistical significance were two-sided. Black women had a higher prevalence of the Basal-like BC subtype. Adjusted for potential confounding variables and disease characteristics at diagnosis, Black women had higher risks of recurrence (HR 1.65, 95 % CI 1.06-2.57) and breast cancer-specific mortality (HR 1.71, 95 % CI 1.02-2.86) than White women, but adjusting further for subtype did not attenuate survival disparities. By contrast, Hispanic women had a lower risk of recurrence (HR 0.54, 95 % CI 0.30-0.96) than Whites. Among those with the Basal-like subtype, Black women had a similar recurrence risk as women in other race groups but a higher recurrence risk for all other subtypes. Hispanic women had a lower recurrence risk within each subtype, though associations were not significant, given limited power. Although Black women had a higher risk of the Basal-like subtype, which has poor prognosis, this did not explain the Black-White BC survival disparity.

Socio-economic deprivation and outcomes following radical nephroureterectomy for clinically localized upper tract transitional cell carcinoma

BACKGROUND

Little is known about the effects of socio-economic deprivation on the oncological outcomes of surgically treated upper tract transitional cell carcinoma.

METHODS

From January 1998 to December 2012, 161 patients underwent nephroureterectomy for upper urinary tract cancer at our tertiary medical centre. We included 124 patients where complete data were available for further analysis. This study also analysed the impact of the reported risk factors such as grade, stage, multifocality in addition to socio-economic deprivation on the long-term oncological outcomes after nephroureterectomy.

RESULTS

One hundred and twenty-four (77 %) patients with complete data for socio-economic status were analysed in this study. The median age of the cohort was 73 years (interquartile range 45-86). There were 20, 18, 17, 40 and 29 patients in different socio-economic categories ranging from 1 to 5, respectively. The median duration of follow-up was 68 months (9-174). A statistically higher grade (p value 0.005) and higher stage (p value 0.0005) disease was seen in patients from less deprived categories on both univariate and multivariate analyses. The cancer-specific mortality and follow-up recurrences, however, did not significantly differ between the different socio-economic categories on multivariate analysis (p value 0.13; 0.6) and on univariate and multivariate analyses. A higher number of patients with multifocal disease and concomitant carcinoma in situ (CIS) had disease recurrences which were statistically significant (p values 0.026 and 0.014, respectively) on multivariate analysis.

CONCLUSIONS

A lower recurrence-free survival was observed in patients with multifocal disease and those with concomitant CIS following nephroureterectomy for clinically localized disease. Long-term follow-up did not show any significant differences in cancer-specific survival between different deprivation categories.

Impact of sociodemographic factors on the radiotherapeutic management of lung cancer: Results of a Quality Research in Radiation Oncology survey

PURPOSE

The objective of this study is to describe the impact of sociodemographic (SOC) factors on the management of lung cancer patients treated at radiation therapy facilities participating in the Quality Research in Radiation Oncology survey.

METHODS AND MATERIALS

A 2-stage stratified random sample of lung cancer patients treated in 2006 to 2007 at 45 facilities yielded 340 stage I-III non-small cell lung cancer (NSCLC) and 144 limited-stage small cell lung cancer (LS-SCLC) cases. Five SOC variables based on data from the 2000 US Census were analyzed for association with the following clinical factors: patients living in urban versus rural settings (U/R); median household income (AHI); % below poverty level (PPV); % unemployed (PUE); and % with college education (PCE).

RESULTS

The 340 NSCLC patients were stage I, 16%; stage II, 11%; stage III, 62%; stage unknown, 11%. Histologic subtypes were adenocarcinoma, 31.8%; squamous cell carcinoma, 35.3%; large cell carcinoma, 3.2%; and NSCLC NOS, 27.7%. The median age was 66 years. Median Karnofsky performance status (KPS) was 80. The 144 LS-SCLC had a median age of 63; 73 were male (50.7%). Median KPS was 80. Stereotactic body radiation therapy (SBRT) and modern imaging utilization was associated with treatment at facilities located in higher SOC regions. SBRT was employed in 46.8% stage I NSCLC patients treated in centers where %PUE was below median versus 14.8% in centers where %PUE was above median (P = .02). Four-dimensional computed tomography was utilized in 14.2% of patients treated in centers located in regions with %PPV below median versus 3.7% in centers located in regions with %PPV above median (P < .01). SCLC patients were more likely to receive all of their planned RT when treated at centers located in regions with lower PPV (95.0% vs 79.1%; P = .04).

CONCLUSIONS

SOC factors may impact use of modern treatment planning and delivery and multidisciplinary management of NSCLC and SCLC. These results may suggest an impact of these SOC factors on access to health care.