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.

Low neighborhood socioeconomic status is associated with poor outcomes in young adults with colorectal cancer.

BACKGROUND: The incidence of early-onset colorectal cancer has increased markedly over the past decade. Although established for older adults, there are limited data on socioeconomic and racial disparities in screening, treatment, and outcomes in this distinct group. METHODS: Adults with primary colorectal cancer diagnosed at age <50 were identified from the Surveillance, Epidemiology, and End Results database. The exposure of interest was neighborhood socioeconomic status based on the Yost Index, a census-tract level composite score of neighborhood economic health. Univariate analysis was performed with χ2 analyses. Logistic regression models were created to evaluate the association of neighborhood socioeconomic status (Yost Index quintile) with metastasis at presentation and surgical intervention. Kaplan-Meier and Cox proportional hazards models were created. RESULTS: In total, 45,660 early-onset colorectal cancer patients were identified; 16.8% (7,679) were in the lowest quintile of neighborhood socioeconomic status. Patients with the lowest neighborhood socioeconomic status were 1.13 times (95% confidence interval 1.06-1.21) more likely to present with metastases and had lower survival (hazard ratio 1.45, 95% confidence interval 1.37-1.53) compared to those with the highest neighborhood socioeconomic status. Non-Hispanic Black patients were more likely to present with metastatic disease (odds ratio 1.11, 95% confidence interval 1.05-1.19), less likely to undergo surgery for localized or regional disease (odds ratio 0.48, 95% confidence interval 0.43-0.53), and had lower survival (hazard ratio 1.21, 95% confidence interval 1.15-1.27) than non-Hispanic White patients. CONCLUSION: Socioeconomic and racial disparities in early-onset colorectal cancer span diagnosis, treatment, and survival. As the disease burden of early-age onset colorectal cancer increases, interventions to boost early diagnosis and access to surgery are necessary to improve survival among minorities and patients with low neighborhood socioeconomic status.

Access to Prostate-Specific Antigen Testing and Mortality Among Men With Prostate Cancer.

Importance: Prostate-specific antigen (PSA) screening for prostate cancer is controversial but may be associated with benefit for certain high-risk groups. Objectives: To evaluate associations of county-level PSA screening prevalence with prostate cancer outcomes, as well as variation by sociodemographic and clinical factors. Design, Setting, and Participants: This cohort study used data from cancer registries based in 8 US states on Hispanic, non-Hispanic Black, and non-Hispanic White men aged 40 to 99 years who received a diagnosis of prostate cancer between January 1, 2000, and December 31, 2015. Participants were followed up until death or censored after 10 years or December 31, 2018, whichever end point came first. Data were analyzed between September 2023 and January 2024. Exposure: County-level PSA screening prevalence was estimated using the Behavior Risk Factor Surveillance System survey data from 2004, 2006, 2008, 2010, and 2012 and weighted by population characteristics. Main Outcomes and Measures: Multivariable logistic, Cox proportional hazards regression, and competing risks models were fit to estimate adjusted odds ratios (AOR) and adjusted hazard ratios (AHR) for associations of county-level PSA screening prevalence at diagnosis with advanced stage (regional or distant), as well as all-cause and prostate cancer-specific survival. Results: Of 814 987 men with prostate cancer, the mean (SD) age was 67.3 (9.8) years, 7.8% were Hispanic, 12.2% were non-Hispanic Black, and 80.0% were non-Hispanic White; 17.0% had advanced disease. There were 247 570 deaths over 5 716 703 person-years of follow-up. Men in the highest compared with lowest quintile of county-level PSA screening prevalence at diagnosis had lower odds of advanced vs localized stage (AOR, 0.86; 95% CI, 0.85-0.88), lower all-cause mortality (AHR, 0.86; 95% CI, 0.85-0.87), and lower prostate cancer-specific mortality (AHR, 0.83; 95% CI, 0.81-0.85). Inverse associations between PSA screening prevalence and advanced cancer were strongest among men of Hispanic ethnicity vs other ethnicities (AOR, 0.82; 95% CI, 0.78-0.87), older vs younger men (aged ≥70 years: AOR, 0.77; 95% CI, 0.75-0.79), and those in the Northeast vs other US Census regions (AOR, 0.81; 95% CI, 0.79-0.84). Inverse associations with all-cause mortality were strongest among men of Hispanic ethnicity vs other ethnicities (AHR, 0.82; 95% CI, 0.78-0.85), younger vs older men (AHR, 0.81; 95% CI, 0.77-0.85), those with advanced vs localized disease (AHR, 0.80; 95% CI, 0.78-0.82), and those in the West vs other US Census regions (AHR, 0.89; 95% CI, 0.87-0.90). Conclusions and Relevance: This population-based cohort study of men with prostate cancer suggests that higher county-level prevalence of PSA screening was associated with lower odds of advanced disease, all-cause mortality, and prostate cancer-specific mortality. Associations varied by age, race and ethnicity, and US Census region.

Rutgers Cancer Institute of New Jersey's Community Outreach and Engagement Approach to Cancer Prevention.

Rutgers Cancer Institute of New Jersey (New Brunswick, NJ) is committed to providing cancer prevention education, outreach, and clinical services in our catchment area (CA). Our approach to cancer prevention includes ongoing surveillance to better understand the CA cancer burden and opportunities for intervention, leveraging community partnerships, and vigorously engaging diverse communities to understand and address their needs. This approach considers individual, sociocultural, environmental, biologic, system, and policy-level factors with an equity lens. Rutgers Cancer Institute has had substantial impact on cancer prevention (risk reduction, screening, and early detection) over the past five years, including the development of a CA data dashboard advancing implementation of evidence-based cancer control actions by leveraging 357 healthcare and community partners (with 522 partner sites). Furthermore, we provided professional education (attendance 19,397), technical assistance to community organizations (1,875 support sessions), educational outreach for community members (87,000+ through direct education), facilitated access to preventive services (e.g., 60,000+ screenings resulting in the detection of >2,000 malignant and premalignant lesions), contributed to advances in health policy and population-level improvements in risk reduction behaviors, screening, and incidence. With longer-term data, we will assess the impact of our cancer prevention efforts on cancer incidence, downward shifts in stage at diagnosis, mortality, and disparities.

Advancing Social and Environmental Research in Cancer Registries Using Geomasking for Address-Level Data.

Understanding the social and environmental causes of cancer in the United States, particularly in marginalized communities, is a major research priority. Population-based cancer registries are essential for advancing this research, given their nearly complete capture of incident cases within their catchment areas. Most registries limit the release of address-level geocodes linked to cancer outcomes to comply with state health departmental regulations. These policies ensure patient privacy, uphold data confidentiality, and enhance trust in research. However, these restrictions also limit the conduct of high-quality epidemiologic studies on social and environmental factors that may contribute to cancer burden. Geomasking refers to computational algorithms that distort locational data to attain a balance between effectively "masking" the original address location while faithfully maintaining the spatial structure in the data. We propose that the systematic deployment of scalable geomasking algorithms could accelerate research on social and environmental contributions across the cancer continuum by reducing measurement error bias while also protecting privacy. We encourage multidisciplinary teams of registry officials, geospatial analysts, cancer researchers, and others engaged in this form of research to evaluate and apply geomasking procedures based on feasibility of implementation, accuracy, and privacy protection to accelerate population-based research on social and environmental causes of cancer.

Human Papillomavirus (HPV)-Associated Cancers Among Hispanic Males in the United States: Late-Stage Diagnosis by Country of Origin.

INTRODUCTION: The epidemiology of human papillomavirus (HPV)-associated cancers has changed since the development of the multivalent vaccine. This is evidenced by the decline in incidence of cervical cancers in the post-vaccine era. By contrast, studies have reported the rise in incidence of these cancers in males. Though little is known regarding HPV-associated cancers in males, Hispanic males have been largely excluded from research on these cancers. OBJECTIVE: The purpose of this study was to examine the differences in late-stage diagnosis of HPV-associated cancers (oropharyngeal, anorectal, or penile) among subgroups of Hispanic males in the U.S. METHODS: We performed a population-based retrospective cohort study using the 2005-2016 North American Association of Central Cancer Registries Cancer in North America Deluxe data file (n = 9242). Multivariable logistic regression modeling was used in studying late-stage diagnosis. RESULTS: There were no differences in late-stage diagnosis of oropharyngeal cancer between Hispanic subgroups. Higher odds of late-stage penile cancers were observed among Mexican and Puerto Rican males relative to European Spanish males. Lower odds of late-stage anorectal cancers were observed among Central or South American and Puerto Rican males. Having Medicaid or no insurance were associated with late-stage diagnosis for all cancers. CONCLUSION: Certain subgroups of Hispanic males have higher odds of late-stage HPV-associated cancer diagnosis based on country of origin and insurance status. These findings call for improved efforts to increase HPV vaccination, particularly among these subgroups of Hispanic males. Efforts to improve health care access and early detection from health care providers are also needed.

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.

Sociodemographic and Health Correlates of Multiple Health Behavior Adherence among Cancer Survivors: A Latent Class Analysis.

The study aimed to (a) assess current levels of adherence to the National Comprehensive Cancer Network's multiple health behavior guidelines and (b) identify characteristics of cancer survivors associated with different adherence levels. Cancer survivors (N = 661) were identified through the state registry and completed questionnaires. Latent class analysis (LCA) was used to identify patterns of adherence. Associations between predictors with the latent classes were reported as risk ratios. LCA identified three classes: lower- (39.6%), moderate- (52.0%), and high-risk lifestyle (8.3%). Participants in the lower-risk lifestyle class had the highest probability of meeting most of the multiple health behavior guidelines compared to participants in the high-risk lifestyle class. Characteristics associated with membership in the moderate-risk lifestyle class included self-identifying as a race other than Asian/Asian American, being never married, having some college education, and having been diagnosed with later stage colorectal or lung cancer. Those in the high-risk lifestyle class were more likely to be male, never married, have a high school diploma or less, diagnosed with colorectal or lung cancer, and diagnosed with pulmonary comorbidities. Study findings can be used to inform development of future interventions to promote multiple health behavior adherence among higher risk cancer survivors.

Disparities in geospatial patterns of cancer care within urban counties and structural inequities in access to oncology care.

OBJECTIVE: To examine geospatial patterns of cancer care utilization across diverse populations in New Jersey-a state where most residents live in urban areas. DATA SOURCES/STUDY SETTING: We used data from the New Jersey State Cancer Registry from 2012 to 2014. STUDY DESIGN: We examined the location of cancer treatment among patients 20-65 years of age diagnosed with breast, colorectal, or invasive cervical cancer and investigated differences in geospatial patterns of care by individual and area-level (e.g., census tract-level) characteristics. DATA COLLECTION/EXTRACTION METHODS: Multivariate generalized estimating equation models were used to determine factors associated with receiving cancer treatment within residential counties, residential hospital service areas, and in-state (versus out-of-state) care. PRINCIPAL FINDINGS: We observed significant differences in geospatial patterns of cancer treatment by race/ethnicity, insurance type, and area-level factors. Even after adjusting for tumor characteristics, insurance type, and other demographic factors, non-Hispanic Black patients had a 5.6% higher likelihood of receiving care within their own residential county compared to non-Hispanic White patients (95% CI: 2.80-8.41). Patients insured with Medicaid and those without insurance had higher likelihoods of receiving care within their residential county compared to privately insured individuals. Patients living in census tracts with the highest quintile of social vulnerability were 4.6% more likely to receive treatment within their residential county (95% CI: 0.00-9.30) and were 2.7% less likely to seek out-of-state care (95% CI: -4.85 to -0.61). CONCLUSIONS: Urban populations are not homogenous in their geospatial patterns of cancer care utilization, and individuals living in areas with greater social vulnerability may have limited opportunities to access care outside of their immediate residential county. Geographically tailored efforts, along with socioculturally tailored efforts, are needed to help improve equity in cancer care access.

Geographic diffusion of digital mammography in the United States.

BACKGROUND: Examining temporal and spatial diffusion of a new technology, such as digital mammography, can provide important insights into potential disparities associated with access to new medical technologies and how quickly these technologies are adopted. Although digital mammography is currently a standard technology in the United States for breast cancer screening, its adoption and geographic diffusion, as medical facilities transitioned from film to digital units, has not been explored well. METHODS: This study evaluated the geographic diffusion of digital mammography facilities from 2001 to 2014 in the contiguous United States (excluding Alaska and Hawaii) and estimated the geographic accessibility to this new technology for women aged ≥45 years at the census tract level within a 20-minute drivetime by population density, rural/urban residence, and race/ethnicity. The number of mammography units by technology type (film or digital) and density per 10,000 women were also summarized. RESULTS: The adoption of digital mammography advanced first in densely populated regions and last in remote rural areas. Overall, proportion of digital mammography units increased from 1.4% in 2001 to 94.6% in 2014, but since 2008, there was a decline in density of units from 2.31 per 10,000 women aged ≥45 years to 1.97 in 2014. In 2014, approximately 87% of women aged ≥45 years in the contiguous United States had accessibility to digital mammography, but this proportion was substantially lower for Native American women (67%) and rural residents (32%). CONCLUSION: Understanding the diffusion of and accessibility to digital mammography may help predict future medical technology diffusion and assess its role in geographic differences in cancer diagnosis and treatment.