Disparities in cancer stage shifts associated with the COVID-19 pandemic in California, 2020-2021.

BACKGROUND: The COVID-19 pandemic and associated shutdowns disrupted healthcare access and resulted in decreased cancer screenings. Cancer diagnosis delays have concerning downstream effects on late-stage cancer, especially for marginalized populations. METHODS: The study population included 349,458 adults in the California Cancer Registry diagnosed with cancer between January 2019-December 2021, during which California experienced two stay-at-home orders. We examined the percentage of late-stage (III-IV) cancer diagnoses across five periods: Pre-Pandemic (January 2019-February 2020), Shutdown #1 (March-June 2020), Post-Shutdown #1 (July-November 2020), Post-Shutdown #2 (December 2020-March 2021), and Post-Vaccine Rollout (April-December 2021). To examine the association between time-period and late-stage diagnoses, we conducted a multivariable log binomial regression model adjusted for sociodemographic and neighborhood factors. RESULTS: The percentage of late-stage cancer diagnoses increased during Shutdown #1 (+5.2%) and returned to baseline Post-Vaccine Rollout. Groups with notably higher increases in the percentage of late-stage cancer (vs. overall population) during Shutdown #1 include: Pacific Islander (+13.7%), Thai (+11.2%), Chinese (+8.1%), Native Hawaiian (+7.4%), Filipino (+6.6%), and uninsured (+7.4%). Uninsured (vs. private insurance) (PR: 1.41), low neighborhood SES (nSES) (vs. high) (PR: 1.19), and racial and ethnic minoritized groups (vs. NH White) (PR's: 1.04-1.19) had higher likelihood for late-stage cancer diagnosis. CONCLUSIONS: The pandemic exacerbated late-stage cancer disparities for racial and ethnic minoritized groups, underinsured, and low nSES communities in California (2020-2021). IMPACT: Interventions to improve cancer screening must be focused on racial and ethnic minoritized, underinsured, and low nSES communities, as they are likely to be more vulnerable to healthcare disruptions like the pandemic.

Latino Enclaves and Healthcare Accessibility: An Ecologic Study Across Five States.

BACKGROUND: Hispanic or Latino populations (hereafter, "Latinos") are a rapidly expanding U.S. demographic and have documented inequities in preventable diseases and conditions. Many Latinos reside in ethnic enclaves, and understanding the context and healthcare accessibility within these places is critical. OBJECTIVE: This study described the neighborhood social and built environment attributes of Latino enclaves and evaluated associations between enclaves and geographic healthcare accessibility. DESIGN: Cross-sectional ecologic analysis. SUBJECTS: Our unit of analysis was all neighborhoods (n ~ 20,000 census tracts) in California, Florida, New Jersey, New York, and Texas in years 2000 and 2010. MAIN MEASURES: The primary exposure of interest, "Latino enclaves," was defined using neighborhood-level data on the percentage of Latino residents, foreign-born Latinos, Spanish speakers with limited English proficiency, and linguistically isolated Spanish-speaking households. The primary outcome was a neighborhood-level measure of geographic healthcare accessibility of primary care physicians, which accounted for both the supply of physicians and population demand for healthcare (i.e., population size within driving distance). RESULTS: Approximately 30% of neighborhoods were classified as Latino enclaves, 87% of which were enclaves in both 2000 and 2010. Compared with non-enclaves, Latino enclaves had more markers of structural disadvantage including having higher proportions of poverty, uninsured individuals, crowded housing, and higher crime scores. Results from multivariable models suggest that more culturally distinct neighborhoods (i.e., higher enclave score) had lower healthcare accessibility, though when stratified, this association persisted only in high (≥ 20%) poverty neighborhoods. CONCLUSION: This study highlights several neighborhood structural disadvantages within Latino enclaves, including higher poverty, uninsured individuals, and crime compared to non-enclave neighborhoods. Moreover, our findings point to the need for interventions aimed at improving healthcare accessibility particularly within socioeconomically disadvantaged Latino enclaves. Addressing these inequities demands multifaceted approaches that consider both social and structural factors to ensure equitable healthcare access for Latino populations.

Acculturating to multiculturalism: a new dimension of dietary acculturation among Asian American, Native Hawaiian, and Pacific Islander women in the San Francisco Bay Area, USA.

BACKGROUND: Dietary acculturation is the process by which diet and dietary practises from the environment of origin are retained or changed and/or those prevalent in a new environment are adopted. Despite rapid population growth the U.S., knowledge gaps exist on characterising dietary acculturation among Asian American, Native Hawaiian, and Pacific Islander communities (AANHPI). This study characterise dietary patterns in a sample representative of AANHPI on key demographic characteristics. METHODS: Data were from a 2013-2014 population-based case-control study in the San Francisco Bay Area, U.S. Survey items were adapted from dietary acculturation scales developed for AANHPI populations. Validated measures assessed social capital, social standing, discrimination and immigration experiences. A principal components factor analysis was conducted to characterise dietary patterns of acculturation. RESULTS: Three dietary patterns were identified: "Asian," "Western," and a distinct "Multicultural" factor. Respondents reporting a high-Asian diet tended to also report smaller social networks, higher levels of stress, and, among those born outside of the U.S., an educational standing that was better before immigration. Respondents reporting a high-Western diet tended to also report the highest level of discrimination. Those reporting a high-Multicultural diet tended to report higher neighbourhood collective efficacy. CONCLUSIONS: The finding of a distinct "Multicultural" factor beyond the typical "Asian" and "Western" factors may reflect the multidirectional relationships between culture, diet, and dietary behavior, in which origin and destination cultures interact in complex ways and where foods from multiple ethnicities intermix.

A validation study for measuring Asian- and Hispanic-serving sociocultural institutions in neighborhoods using business listing data and potential implications for health.

Ethnic enclaves influence the health of Asian American and Hispanic or Latinx/a/o populations, likely via neighborhood social, economic, and built environments. To facilitate studies aiming to disentangle these specific neighborhood mechanisms, we describe the creation and validation of two novel measures-Asian-serving and Hispanic-serving sociocultural institutions (SCIs)-to estimate the social, cultural, and economic character of ethnic enclaves in California. Business listing data were used to identify SCIs or businesses that promote cultural and social identity, including arts, civic, historical, religious, social service, and membership organizations. Keyword searches of business names were used to identify potential Asian- or Hispanic-serving SCIs. An online audit of 1,627 businesses within 12 cities confirmed the validity of using keyword searches to assess whether census tracts were high or low in Asian- or Hispanic-serving SCIs (sensitivity: 63%-100%, specificity: 86%-95%; positive predictive value: 63%-89%). In exploratory regression analyses, high presence of SCIs (compared to low presence) may be associated with neighborhood-level health indicators, including greater percentages of residents who had an annual checkup in majority Asian census tracts and lower percentages of residents who were current smokers in majority Asian and Hispanic census tracts. This approach advances methodology in measurement of neighborhood sociocultural environments.

Asian American Enclaves and Healthcare Accessibility: An Ecologic Study Across Five States.

INTRODUCTION: Access to primary care has been a long-standing priority for improving population health. Asian Americans, who often settle in ethnic enclaves, have been found to underutilize health care. Understanding geographic primary care accessibility within Asian American enclaves can help to ensure the long-term health of this fast-growing population. METHODS: U.S. Census data from five states (California, Florida, New Jersey, New York, and Texas) were used to develop and describe census-tract level measures of Asian American enclaves and social and built environment characteristics for years 2000 and 2010. The 2-step floating catchment area method was applied to National Provider Identifier data to develop a tract-level measure of geographic primary care accessibility. Analyses were conducted in 2022-2023, and associations between enclaves (versus nonenclaves) and geographic primary care accessibility were evaluated using multivariable Poisson regression with robust variance estimation, adjusting for potential area-level confounders. RESULTS: Of 24,482 census tracts, 26.1% were classified as Asian American enclaves. Asian American enclaves were more likely to be metropolitan and have less poverty, lower crime, and lower proportions of uninsured individuals than nonenclaves. Asian American enclaves had higher primary care accessibility than nonenclaves (adjusted prevalence ratio=1.23, 95% CI=1.17, 1.29). CONCLUSIONS: Asian American enclaves in five of the most diverse and populous states in the U.S. had fewer markers of disadvantage and greater geographic primary care accessibility. This study contributes to the growing body of research elucidating the constellation of social and built environment features within Asian American enclaves and provides evidence of health-promoting characteristics of these neighborhoods.

Neighborhood-level COVID vaccination and booster disparities: A population-level analysis across California.

Objectives: To describe vaccine and booster uptake by neighborhood-level factors in California. Methods: We examined trends in COVID-19 vaccination up to September 21, 2021, and boosters up to March 29, 2022 using data from the California Department of Public Health. Quasi-Poisson regression was used to model the association between neighborhood-level factors and fully vaccinated and boosted among ZIP codes. Sub-analyses on booster rates were compared among the 10 census regions. Results: In a minimally adjusted model, a higher proportion of Black residents was associated with lower vaccination (HR = 0.97; 95%CI: 0.96-0.98). However, in a fully adjusted model, proportion of Black, Hispanic/Latinx, and Asian residents were associated with higher vaccination rates (HR = 1.02; 95%CI: 1.01-1.03 for all). The strongest predictor of low vaccine coverage was disability (HR = 0.89; 95%CI: 0.86-0.91). Similar trends persisted for booster doses. Factors associated with booster coverage varied by region. Conclusions: Examining neighborhood-level factors associated with COVID-19 vaccination and booster rates uncovered significant variation within the large and geographically and demographically diverse state of California. Equity-based approaches to vaccination must ensure a robust consideration of multiple social determinants of health.

Neighborhood socioeconomic status and the effectiveness of colorectal cancer screening outreach with mailed fecal immunochemical tests within a safety net healthcare system in San Francisco, CA: A subgroup analysis of a randomized controlled trial.

Neighborhood context shapes opportunities and barriers for residents to access healthcare and cancer screening. Neighborhood socioeconomic status (nSES) is associated with disparities in colorectal cancer (CRC) screening, but the extent to which the effectiveness of specific screening interventions vary by nSES has not been studied. The original trial conducted in San Francisco, CA from 2016 to 2017 randomly assigned patients eligible for CRC screening either to a multicomponent intervention including advanced notification, mailed fecal immunochemical test (FIT) kits and reminders or to a control group receiving usual care. For the nSES analysis addresses for 9699 patients were geocoded and stratified by city-wide nSES quintile (Q1 lowest, Q5 highest) using an established index at the census tract level. Compared to usual care, the outreach intervention improved FIT test completion at one year (58.7% vs 38.4%; OR 2.32 [2.14, 2.52]) but its effectiveness did not vary substantially by nSES quintile (adjusted OR Q1 2.64 [2.30, 3.04]; Q2 2.43 [2.04, 2.90]; Q3 2.31 [1.84, 2.89]; Q4 2.47 [1.86, 3.28]; Q5 2.64 [1.83, 3.81]; Wald test for interaction p = 0.87). The implementation of mailed FIT outreach has the potential to increase CRC screening completion without leading to disparities in screening related to nSES (ClinicalTrials.gov NCT02613260).

Neighborhood Factors Associated with COVID-19 Cases in California.

BACKGROUND: There is a need to assess neighborhood-level factors driving COVID-19 disparities across racial and ethnic groups. OBJECTIVE: To use census tract-level data to investigate neighborhood-level factors contributing to racial and ethnic group-specific COVID-19 case rates in California. DESIGN: Quasi-Poisson generalized linear models were used to identify neighborhood-level factors associated with COVID-19 cases. In separate sequential models for Hispanic, Black, and Asian, we characterized the associations between neighborhood factors on neighborhood COVID-19 cases. Subanalyses were conducted on neighborhoods with majority Hispanic, Black, and Asian residents to identify factors that might be unique to these neighborhoods. Geographically weighted regression using a quasi-Poisson model was conducted to identify regional differences. MAIN MEASURES: All COVID-19 cases and tests reported through January 31, 2021, to the California Department of Public Health. Neighborhood-level data from census tracts were obtained from American Community Survey 5-year estimates (2015-2019), United States Census (2010), and United States Department of Housing and Urban Development. KEY RESULTS: The neighborhood factors associated with COVID-19 case rate were racial and ethnic composition, age, limited English proficiency (LEP), income, household size, and population density. LEP had the largest influence on the positive association between proportion of Hispanic residents and COVID-19 cases (- 2.1% change). This was also true for proportion of Asian residents (- 1.8% change), but not for the proportion of Black residents (- 0.1% change). The influence of LEP was strongest in areas of the Bay Area, Los Angeles, and San Diego. CONCLUSION: Neighborhood-level contextual drivers of COVID-19 burden differ across racial and ethnic groups.

Changes in Cancer Mortality by Race and Ethnicity Following the Implementation of the Affordable Care Act in California.

Although Affordable Care Act (ACA) implementation has improved cancer outcomes, less is known about how much the improvement applies to different racial and ethnic populations. We examined changes in health insurance coverage and cancer-specific mortality rates by race/ethnicity pre- and post-ACA. We identified newly diagnosed breast (n = 117,738), colorectal (n = 38,334), and cervical cancer (n = 11,109) patients < 65 years in California 2007-2017. Hazard rate ratios (HRR) and 95% confidence intervals (CI) were calculated using multivariable Cox regression to estimate risk of cancer-specific death pre- (2007-2010) and post-ACA (2014-2017) and by race/ethnicity [American Indian/Alaska Natives (AIAN); Asian American; Hispanic; Native Hawaiian or Pacific Islander (NHPI); non-Hispanic Black (NHB); non-Hispanic white (NHW)]. Cancer-specific mortality from colorectal cancer was lower post-ACA among Hispanic (HRR = 0.82, 95% CI = 0.74 to 0.92), NHB (HRR = 0.69, 95% CI = 0.58 to 0.82), and NHW (HRR = 0.90; 95% CI = 0.84 to 0.97) but not Asian American (HRR = 0.95, 95% CI = 0.82 to 1.10) patients. We observed a lower risk of death from cervical cancer post-ACA among NHB women (HRR = 0.68, 95% CI = 0.47 to 0.99). No statistically significant differences in breast cancer-specific mortality were observed for any racial or ethnic group. Cancer-specific mortality decreased following ACA implementation for colorectal and cervical cancers for some racial and ethnic groups in California, suggesting Medicaid expansion is associated with reductions in health inequity.

Improved survival in cervical cancer patients receiving care at National Cancer Institute-designated cancer centers.

BACKGROUND: Locally advanced cervical cancer (CC) remains lethal in the United States. We investigate the effect of receiving care at an National Cancer Institute-designated cancer center (NCICC) on survival. METHODS: Data for women diagnosed with CC from 2004 to 2016 who received radiation treatment were extracted from the California Cancer Registry (n = 4250). Cox proportional hazards regression models assessed whether (1) receiving care at NCICCs was associated with risk of CC-specific death, (2) this association remained after multivariable adjustment for age, race/ethnicity, and insurance status, and (3) this association was explained by receipt of guideline-concordant treatment. RESULTS: Median age was 50 years (interquartile range [IQR] 41-61 years), with median follow-up of 2.7 years (IQR 1.3-6.0 years). One-third of patients were seen at an NCICC, and 29% died of CC. The hazard of CC-specific death was reduced by 20% for those receiving care at NCICCs compared with patients receiving care elsewhere (HR = .80; 95% CI, 0.70-0.90). Adjustment for guideline-concordant treatment and other covariates minimally attenuated the association to 0.83 (95% CI, 0.74-0.95), suggesting that the survival advantage associated with care at NCICCs may not be due to receipt of guideline-concordant treatment. CONCLUSIONS: This study demonstrates survival benefit for patients receiving care at NCICCs compared with those receiving care elsewhere that is not explained by differences in guideline-concordant care. Structural, organizational, or provider characteristics and differences in patients receiving care at centers with and without NCI designation could explain observed associations. Further understanding of these factors will promote equality across oncology care facilities and survival equity for patients with CC.

Health care utilization among women of reproductive age living in public housing: Associations across six public housing sites in San Francisco.

Housing is a key social determinant of health and health care utilization. Although stigmatized due to poor quality, public housing may provide stability and affordability needed for individuals to engage in health care utilization behaviors. For low-income women of reproductive age (15-44 y), this has implications for long-term reproductive health trajectories. In a sample of 5,075 women, we used electronic health records (EHR) data from 2006 to 2011 to assess outpatient and emergency department (ED) visits across six public housing sites in San Francisco, CA. Non-publicly housed counterparts were selected from census tracts surrounding public housing sites. Multivariable regression models adjusted for age and insurance status estimated incidence rate ratios (IRR) for outpatient visits (count) and odds ratios (OR) for ED visit (any/none). We obtained race/ethnicity-specific associations overall and by public housing site. Analyses were completed in December 2020. Public housing was consistently associated with health care utilization among the combined Asian, Alaskan Native/Native American, Native Hawaiian/Pacific Islander, and Other (AANHPI/Other) group. Public housing residents had fewer outpatient visits (IRR: 0.86; 95% Confidence Interval [CI]: 0.81, 0.93) and higher odds of an ED visit (OR: 1.81; 95% CI: 1.32, 2.48). Black women had higher odds of an ED visits (OR: 1.32; 95% CI: 1.07, 1.63), but this was driven by one public housing site (site-specific OR: 2.34; 95% CI: 1.12, 4.88). Variations by race/ethnicity and public housing site are integral to understanding patterns of health care utilization among women of reproductive age to potentially improve women's long-term health trajectories.

Home mortgage discrimination and incidence of triple-negative and Luminal A breast cancer among non-Hispanic Black and non-Hispanic White females in California, 2006-2015.

PURPOSE: In the United States, Black females are burdened by more aggressive subtypes and increased mortality from breast cancer compared to non-Hispanic (NH) White females. Institutional racism may contribute to these inequities. We aimed to characterize the association between home mortgage discrimination, a novel measure of institutional racism, and incidence of Luminal A and triple-negative breast cancer (TNBC) subtypes among NH Black and NH White females in California metropolitan areas. METHODS: We merged data from the California Cancer Registry on females aged 20 + diagnosed with primary invasive breast cancer between 2006 and 2015 with a census tract-level index of home mortgage lending bias measuring the odds of mortgage loan denial for Black versus White applicants, generated from the 2007-2013 Home Mortgage Disclosure Act database. Poisson regression estimated cross-sectional associations of census tract-level racial bias in mortgage lending with race/ethnicity- and Luminal A and TNBC-specific incidence rate ratios, adjusting for neighborhood confounders. RESULTS: We identified n = 102,853 cases of Luminal A and n = 15,528 cases of TNBC over the study period. Compared to NH Whites, NH Black females had higher rates of TNBC, lower rates of Luminal A breast cancer, and lived in census tracts with less racial bias in home mortgage lending. There was no evidence of association between neighborhood racial bias in mortgage lending at the time of diagnosis and either subtype among either racial/ethnic group. CONCLUSION: Future research should incorporate residential history data with measures of institutional racism to improve estimation and inform policy interventions.

Evaluating the Impact of Social and Built Environments on Health-Related Quality of Life among Cancer Survivors.

BACKGROUND: With almost 17 million U.S. cancer survivors, understanding multilevel factors impacting health-related quality of life (HRQOL) is critical to improving survivorship outcomes. Few studies have evaluated neighborhood impact on HRQOL among cancer survivors. METHODS: We combined sociodemographic, clinical, and behavioral data from three registry-based studies in California. Using a three-level mixed linear regression model (participants nested within block groups and study/regions), we examined associations of both independent neighborhood attributes and neighborhood archetypes, which capture interactions inherent among neighborhood attributes, with two HRQOL outcomes, physical (PCS) and mental (MCS) composite scores. RESULTS: For the 2,477 survivors, 46% were 70+ years, 52% were non-Hispanic White, and 53% had localized disease. In models minimally adjusted for age, stage, and cancer recurrence, HRQOL was associated with neighborhood socioeconomic status (nSES), racial/ethnic composition, population density, street connectivity, restaurant environment index, traffic density, urbanicity, crowding, rental properties, and non-single family units. In fully adjusted models, higher nSES remained associated with better PCS, and restaurant environment index, specifically more unhealthy restaurants, associated with worse MCS. In multivariable-adjusted models of neighborhood archetype, compared with upper middle-class suburb, Hispanic small town and inner city had lower PCS, and high status had higher MCS. CONCLUSIONS: Among survivors, higher nSES was associated with better HRQOL; more unhealthy restaurants were associated with worse HQROL. As some neighborhood archetypes were associated with HRQOL, they provide an approach to capture how neighborhood attributes interact to impact HRQOL. IMPACT: Elucidating the pathways through which neighborhood attributes influence HRQOL is important in improving survivorship outcomes.

Neighborhood Contexts and Breast Cancer Among Asian American Women.

BACKGROUND: This study examines how neighborhood socioeconomic status (nSES) and ethnic composition are associated with breast cancer risk for Asian American women. METHODS: We linked individual level data from a population-based case-control study of breast cancer among Asian American women with neighborhood level data in the Greater San Francisco Bay Area (cases: n = 118, controls: n = 390). Multivariable logistic regression models examined the association between nSES, ethnic composition, and odds of having breast cancer. RESULTS: Asian American women living in neighborhoods with high nSES and high ethnic composition had the highest odds of breast cancer, compared to those living in neighborhoods with high nSES and low ethnic composition (OR = 0.34, 95% CI [0.16-0.75]) or in neighborhoods with low nSES and high ethnic composition (OR = 0.37, 95% CI [0.17-0.83]). DISCUSSION: Neighborhood socioeconomic and ethnic contexts are associated with breast cancer for Asian American women. We discuss explanations and avenues for future research.

Incidence of Lung Cancer Among Never-Smoking Asian American, Native Hawaiian, and Pacific Islander Females.

BACKGROUND: Although lung cancer incidence rates according to smoking status, sex, and detailed race/ethnicity have not been available, it is estimated that more than half of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) females with lung cancer have never smoked. METHODS: We calculated age-adjusted incidence rates for lung cancer according to smoking status and detailed race/ethnicity among females, focusing on AANHPI ethnic groups, and assessed relative incidence across racial/ethnic groups. We used a large-scale dataset that integrates data from electronic health records from 2 large health-care systems-Sutter Health in Northern California and Kaiser Permanente Hawai'i-linked to state cancer registries for incident lung cancer diagnoses between 2000 and 2013. The study population included 1 222 694 females (n = 244 147 AANHPI), 3297 of which were diagnosed with lung cancer (n = 535 AANHPI). RESULTS: Incidence of lung cancer among never-smoking AANHPI as an aggregate group was 17.1 per 100 000 (95% confidence interval [CI] = 14.9 to 19.4) but varied widely across ethnic groups. Never-smoking Chinese American females had the highest rate (22.8 per 100 000, 95% CI = 17.3 to 29.1). Except for Japanese American females, incidence among every never-smoking AANHPI female ethnic group was higher than that of never-smoking non-Hispanic White females, from 66% greater among Native Hawaiian females (incidence rate ratio = 1.66, 95% CI = 1.03 to 2.56) to more than 100% greater among Chinese American females (incidence rate ratio = 2.26, 95% CI = 1.67 to 3.02). CONCLUSIONS: Our study revealed high rates of lung cancer among most never-smoking AANHPI female ethnic groups. Our approach illustrates the use of innovative data integration to dispel the myth that AANHPI females are at overall reduced risk of lung cancer and demonstrates the need to disaggregate this highly diverse population.

Individual- and neighborhood-level socioeconomic status and risk of aggressive breast cancer subtypes in a pooled cohort of women from Kaiser Permanente Northern California.

BACKGROUND: Low socioeconomic status (SES) has been associated with a higher risk of aggressive breast cancer (BC) subtypes, but few studies have examined the independent effects of both neighborhood-level socioeconomic status (nSES) and individual-level SES measures. METHODS: This study included 5547 women from the Pathways and Life After Cancer Epidemiology cohorts who were diagnosed with invasive BC. Generalized estimating equation models were used to examine associations of nSES (a composite score based on income, poverty, education, occupation, employment, rent, and house value) and individual-level SES (income and education) with BC subtypes: luminal B (LumB), Her2-enriched (Her2-e), and triple-negative breast cancer (TNBC) relative to luminal A (LumA). Models controlled for age, race, nativity, stage, days from diagnosis to survey, and study cohort and simultaneously for nSES and individual-level SES. RESULTS: In fully adjusted models, low nSES was significantly associated with the LumB (odds ratio for quartile 1 vs quartile 4 [ORQ1vQ4 ], 1.31; 95% confidence interval [CI], 1.11-1.54; P for trend = .005) and TNBC subtypes (ORQ1vQ4 , 1.32; 95% CI, 1.02-1.71; P for trend = .037) relative to LumA. Conversely, individual education was significantly associated with only the Her2-e subtype (odds ratio for high school degree or less vs postgraduate, 1.68; 95% CI, 1.03-2.75; P for trend = .030) relative to LumA. Individual income was not significantly associated with any BC subtype. CONCLUSIONS: nSES and individual-level SES are independently associated with different BC subtypes; specifically, low nSES and individual-level education are independent predictors of more aggressive BC subtypes relative to LumA.

Integrating Electronic Health Record, Cancer Registry, and Geospatial Data to Study Lung Cancer in Asian American, Native Hawaiian, and Pacific Islander Ethnic Groups.

BACKGROUND: A relatively high proportion of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) females with lung cancer have never smoked. We used an integrative data approach to assemble a large-scale cohort to study lung cancer risk among AANHPIs by smoking status with attention to representation of specific AANHPI ethnic groups. METHODS: We leveraged electronic health records (EHRs) from two healthcare systems-Sutter Health in northern California and Kaiser Permanente Hawai'i-that have high representation of AANHPI populations. We linked EHR data on lung cancer risk factors (i.e., smoking, lung diseases, infections, reproductive factors, and body size) to data on incident lung cancer diagnoses from statewide population-based cancer registries of California and Hawai'i for the period between 2000 and 2013. Geocoded address data were linked to data on neighborhood contextual factors and regional air pollutants. RESULTS: The dataset comprises over 2.2 million adult females and males of any race/ethnicity. Over 250,000 are AANHPI females (19.6% of the female study population). Smoking status is available for over 95% of individuals. The dataset includes 7,274 lung cancer cases, including 613 cases among AANHPI females. Prevalence of never-smoking status varied greatly among AANHPI females with incident lung cancer, from 85.7% among Asian Indian to 14.4% among Native Hawaiian females. CONCLUSION: We have developed a large, multilevel dataset particularly well-suited to conduct prospective studies of lung cancer risk among AANHPI females who never smoked. IMPACT: The integrative data approach is an effective way to conduct cancer research assessing multilevel factors on cancer outcomes among small populations.

Integration of electronic pathology reporting with clinical trial matching for advanced prostate cancer.

INTRODUCTION: Racial/ethnic diversity in prostate cancer (CaP) clinical trials (CTs) is essential to address CaP disparities. California Cancer Registry mandated electronic reporting (e-path) of structured data elements from pathologists diagnosing cancer thereby creating an opportunity to identify and approach patients rapidly. This study tested the utility of an online CT matching tool (called Trial Library) used in combination with e-path to improve matching of underrepresented CaP patients into CTs at time of diagnosis. METHODS: This was a nonrandomized, single-arm feasibility study among patients with a new pathologic diagnosis of high-risk CaP (Gleason Score ≥8). Eligible patients were sent recruitment materials and enrolled patients were introduced to Trial Library. RESULTS: A total of 419 case listings were assessed. Patients were excluded due to physician contraindication, not meeting baseline eligibility, or unable to be reached. Final participants (N = 52) completed a baseline survey. Among study participants, 77% were White, 10% were Black/Hispanic/Missing, and 14% were Asian. The majority of the study participants were over 65 years of age (81%) and Medicare insured (62%). Additionally, 81% of participants reported using the Internet to learn about CaP. The majority (62%) of participants reported that Trial Library increased their interest in CT participation. CONCLUSIONS: The current study demonstrated that leveraging structured e-path data reporting to a population-based cancer registry to recruit men with high risk CaP to clinical research is feasible and acceptable. We observed that e-path may be linked with an online CT matching tool, Trial Library. Future studies will prioritize recruitment from reporting facilities that serve more racially/ethnically diverse patient populations.

Changes in Colorectal Cancer 5-Year Survival Disparities in California, 1997-2014.

BACKGROUND: Colorectal cancer incidence and mortality have declined with increased screening and scientific advances in treatment. However, improvement in colorectal cancer outcomes has not been equal for all groups and disparities have persisted over time. METHODS: Data from the California Cancer Registry were used to estimate changes in 5-year colorectal cancer-specific survival over three diagnostic time periods: 1997-2002, 2003-2008, and 2009-2014. Analyses included all patients in California with colorectal cancer as a first primary malignancy. Multivariable Cox proportional hazard regression models were used to evaluate the effect of race/ethnicity, insurance status, and neighborhood socioeconomic status (nSES) on 5-year colorectal cancer-specific survival. RESULTS: On the basis of a population-based sample of 197,060 colorectal cancer cases, racial/ethnic survival disparities decreased over time among non-Hispanic Blacks (NHB) compared with non-Hispanic Whites (NHW), after adjusting for demographic, clinical, and treatment characteristics. For cases diagnosed 1997-2002, colorectal cancer-specific hazard rates were higher for NHB [HR, 1.12; 95% confidence interval (CI), 1.06-1.19] and lower for Asians/Pacific Islanders (HR, 0.92; 95% CI, 0.87-0.96) and Hispanics (HR, 0.94; 95% CI, 0.90-0.99) compared with NHW. In 2009-2014, colorectal cancer-specific HR for NHB was not significantly different to the rate observed for NHW (HR, 1.03; 95% CI, 0.97-1.10). There were no changes in disparities in nSES, but increasing disparities by health insurance status. CONCLUSIONS: We found a decrease in survival disparities over time by race/ethnicity, but a persistence of disparities by neighborhood socioeconomic status and health insurance status. IMPACT: Further investigation into the drivers for these disparities can help direct policy and practice toward health equity for all groups.

Egocentric social networks, lifestyle behaviors, and body size in the Asian Community Health Initiative (CHI) cohort.

BACKGROUND: Social networks have been shown to influence lifestyle behaviors in non-Latinx white (NLW) populations. We examined their influence in Asian American, Native Hawaiian and Pacific Islander (AANHPI) women. METHODS: We included 477 AANHPI women from the Asian Community Health Initiative Study who provided egocentric (degree, density, composition) and epidemiologic (size, types of ties) social network data and data on alcohol intake, physical activity, smoking, diet, and body size. We used logistic regression to evaluate associations of social network measures and dichotomous outcomes, and linear regression for continuous outcomes. RESULTS: In multivariable-adjusted analyses, higher degree and/or proportion of friends were significantly related to higher Western diet, higher odds of any alcohol consumption, and lower odds of physical inactivity and body mass index (BMI)≥23 kg/m2. Additionally, a higher proportion of NLW in women's networks was related to lower Asian diet but also lower waist size. Community participation was related to higher Western diet and lower Asian diet. By contrast, degree and/or proportion of relatives were positively related to BMI, waist size and to a higher odds of BMI≥23 kg/m2 and of ever smoking 100 cigarettes. Being married was related to fewer alcoholic drinks per week and higher Asian diet. A higher density of relationships with frequent contact was also associated with higher Asian diet. CONCLUSIONS: AANHPI women with larger proportions of friends and NLWs in their networks had more Western health behaviors and smaller body size. Norms for health behaviors and body size may be influenced by the size, composition, and structure of social networks, relevant to chronic disease prevention.