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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.

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This cohort study describes suicide incidence among patients with cancer compared with the general population and by surgical status and cancer treatment.

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BACKGROUND: Over 20 million people in the United States identified as Asian American, Native Hawaiian, or Pacific Islander (AANHPI) in 2022. Despite the diversity of immigration histories, lived experiences, and health needs within the AANHPI community, prior studies in cervical cancer have considered this group in aggregate. OBJECTIVE(S): We sought to analyze disparities in cervical cancer stage at presentation in the United States, focusing on disaggregated AANHPI groups. STUDY DESIGN: Data from the United States National Cancer Database from 2004 to 2020 of 122,926 patients newly diagnosed with cervical cancer was retrospectively analyzed. AANHPI patients were disaggregated by country of origin. Logistic regression, adjusted for clinical and sociodemographic factors, was used to calculate adjusted odds ratios. Higher adjusted odds ratios indicate an increased likelihood of metastatic versus non-metastatic disease at diagnosis. RESULTS: Out of 122,926 patients with cervical cancer, 5,142 (4.2%) identified as AANHPI. Compared to non-Hispanic White (NHW) patients, pooled AANHPI patients presented at lower stages of cancer (NHW: 58.7% diagnosed local/regional, AANHPI: 85.6% at local/regional, χ2 P<0.001). The largest AANHPI subgroups included Filipino Americans (n=1051, 20.4% of AANHPI), Chinese Americans (n=995, 19.4%), Asian Indian/Pakistani Americans (n=711, 13.8%), Vietnamese Americans (n=627, 12.2%), and Korean Americans (n=550, 10.7%) respectively. AANHPI disaggregation revealed that Pacific Islander American patients had higher odds of presenting with metastatic disease (aOR 1.58, 95% CI 1.21-2.06, p = 0.001) relative to non-Hispanic White patients. Conversely, Chinese American (aOR 0.47, 95% CI 0.37-0.59, p < 0.001), Vietnamese American (aOR 0.54, 95% CI 0.41-0.70, p < 0.001), Hmong American (aOR 0.46, 95% CI 0.22-0.97, p = 0.040), and Indian/Pakistani American (aOR 0.76, 95% CI 0.61-0.94, p = 0.013) patients were less likely to present with metastatic disease. Compared to the largest AANHPI group (Chinese American), nine other subgroups were more likely to present with metastatic disease. The largest differences were observed in Pacific Islander American (aOR 3.44, 95% CI 2.41-4.91, p < 0.001), Thai American (aOR 2.79, 95% CI 1.41-5.53, p = 0.003), Kampuchean American (aOR 2.39, 95% CI 1.29-4.42, p = 0.006), Native Hawaiian American (aOR 2.23, 95% CI 1.37-3.63, p = 0.001), and Laotian American (aOR 2.02, 95% CI 1.13-3.61, p = 0.017). In contrast, Vietnamese American (aOR 1.20, 95% CI 0.85-1.71, p = 0.303) and Hmong American (aOR 1.09, 95% CI 0.50-2.37, p = 0.828) patients did not show a statistically significant difference in presenting with metastatic disease compared to Chinese American patients. CONCLUSION(S): Aggregated evaluation of the Asian American, Native Hawaiian, or Pacific Islander monolith masks disparities in outcomes for distinct populations at risk for equity gaps. This disaggregation study shows that marginalized groups within the larger AANHPI population - including Pacific Islander American and Thai American patients - may face different exposures and larger structural barriers to cancer screening and early-stage diagnosis. A future focus on community based disaggregated research and tailored interventions is necessary to close these gaps.

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BACKGROUND: Cancer rates in rural areas vary by insurance status, socioeconomic status, region, race, and ethnicity. METHODS: California Cancer Registry data (2015-2019) were used to investigate stage of diagnosis by levels of rurality for the five most common cancers. Percent of residents in rural blocks within census tract aggregation zones was categorized into deciles up to 50%. Multivariable logistic regression was used to estimate associations with rurality, with separate models by cancer site, sex, race, and ethnicity (non-Hispanic White and Hispanic). Covariates included individual-level and zone-level factors. RESULTS: Percent of late-stage cancer diagnosis was 28% for female breast, 27% for prostate, 77% for male lung, 71% for female lung, 60% for male colorectal, 59% for female colorectal, 7.8% for male melanoma, and 5.9% for female melanoma. Increasing rurality was significantly associated with increased odds of late-stage cancer diagnosis for female breast cancer (p-trend<0.001), male lung cancer (p-trend<0.001), female lung cancer (p-trend<0.001), and male melanoma (p-trend=0.01), after adjusting for individual-level and zone-level factors. Strength of associations varied by sex and ethnicity. For males with lung cancer, odds of late-stage diagnosis in areas with >50% rural population was 1.24 (95% CI (1.06-1.45)) for non-Hispanic White patients and 2.14 (95% CI (0.86-5.31)) for Hispanic patients, compared to areas with 0% rural residents. CONCLUSIONS: Increasing rurality was associated with increased odds for late-stage diagnosis for breast cancer, lung cancer, and melanoma, with the strength of associations varying across sex and ethnicity. IMPACT: Our findings will inform cancer outreach to these rural subpopulations.

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BACKGROUND: The Oncotype DX Genomic Prostate Score (ODX-GPS) is a gene expression assay that predicts disease aggressiveness. The objective of this study was to identify sociodemographic and regional factors associated with ODX-GPS uptake. METHODS: Data from Surveillance Epidemiology and End Results registries on men with localized prostate cancer with a Gleason score of 3 + 3 or 3 + 4, PSA ≤20 ng/mL, and stage T1c to T2c disease from 2013 through 2017 were linked with ODX-GPS data. Census-tract level neighborhood socioeconomic status (nSES) quintiles were constructed using a composite socioeconomic score. Multivariable logistic regression was used to estimate the associations of ODX-GPS uptake with age at diagnosis, race and ethnicity, nSES, geographic region, insurance type, and marital status, accounting for National Comprehensive Cancer Network risk group, year of diagnosis, and clustering by census tract. RESULTS: Among 111,434 eligible men, 5.5% had ODX-GPS test uptake. Of these, 78.3% were non-Hispanic White, 9.6% were Black, 6.7% were Hispanic, and 3.6% were Asian American. Black men had the lowest odds of ODX-GPS uptake (odds ratio, 0.70; 95% confidence interval [CI], 0.63-0.76). Those in the highest versus lowest quintile of nSES were 1.64 times more likely (95% CI, 1.38-2.94) to have ODX-GPS uptake. The odds of ODX-GPS uptake were statistically significantly higher among men residing in the Northeast, West, and Midwest compared to the South. CONCLUSIONS: Disparities in ODX-GPS uptake by race, ethnicity, nSES, and geographical region were identified. Concerted efforts should be made to ensure that this clinical test is equitably available.

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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.

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Background and Aims: Gastrointestinal cancer incidence varies by race and ethnicity. In the United States (US), there are screening guidelines for esophageal cancer (EC) and colorectal cancer (CRC), but not gastric cancer (GC). We compared GC, CRC, and EC incidence among the most populous racial and ethnic groups to inform US interception strategies. Methods: We used SEER∗Stat to compare GC, CRC, and EC incidence rates across non-Hispanic White (NHW), non-Hispanic Black, Hispanic, and the 8 largest Asian American populations using the Surveillance, Epidemiology, and End Results 9 registries (2010-2014). Results: Noncardia GC incidence was highest among Korean (18.7 cases per 100,000) and lowest among NHW (1.4 cases per 100,000) Americans. CRC incidence was highest among non-Hispanic Black, Southeast Asian, and Japanese (35.9, 34.2, and 33.8 per 100,000, respectively) Americans and lowest among South Asian Americans (18.9 per 100,000). EC incidence was greatest in NHW (4.7 per 100,000) and lowest in Filipino (1.2 per 100,000) Americans. The incidence of noncardia GC slightly exceeded colon cancer in Korean American men (25.5 vs 22.4 per 100,000). GC surpassed EC incidence in all non-White racial and ethnic groups. Conclusion: The burden of GC, CRC, and EC differs based on race and ethnicity. Non-White racial and ethnic groups experience a disproportionate burden of GC for which systematic programs for cancer interception, similar to CRC and EC, are needed.

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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.

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INTRODUCTION: Observational research is important for understanding the real-world benefits of advancements in lung cancer care. Integrated health care systems, such as Kaiser Permanente Northern California, have extensive electronic health records suitable for such research, but the generalizability of their populations is often questioned. METHODS: Leveraging data from the California Cancer Registry, the authors compared distributions of demographic and clinical characteristics, in addition to neighborhood and environmental conditions, between patients diagnosed with lung cancer from 2015 through 2019 at Kaiser Permanente Northern California, National Cancer Institute-designated cancer centers (NCICCs), and all other non-NCICC hospitals within the same catchment area. RESULTS: Of 20,178 included patients, 30% were from Kaiser Permanente Northern California, 8% from NCICCs, and 62% from other non-NCICC hospitals. Compared to NCICC patients, Kaiser Permanente Northern California patients were more similar to other non-NCICC patients on most characteristics. Compared to other non-NCICC patients, Kaiser Permanente Northern California patients were slightly older, more likely to be female, and less likely to be Hispanic or Asian/Pacific Islander and to reside in lower socioeconomic status (SES) neighborhoods. In contrast, NCICC patients were younger, less likely to be female or from non-Asian/Pacific Islander minoritized racial groups, and more likely to present with early-stage disease and adenocarcinoma and to reside in neighborhoods with higher SES and lower air pollution than Kaiser Permanente Northern California or other non-NCICC patients. DISCUSSION: Patients from Kaiser Permanente Northern California, compared to NCICCs, are more broadly representative of the underlying patient population with lung cancer. CONCLUSION: Research using electronic health record data from integrated health care systems can contribute generalizable real-world evidence to benchmark and improve lung cancer care.

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Allostatic load (AL) is an intermediary outcome through which neighborhood drivers of health may impact cancer survivorship outcomes. We examined associations of neighborhood stressors and AL in 2,553 women with breast cancer recruited into the Pathways Study in 2006-2013. AL score was derived from biomarkers in the cardiovascular, metabolic, and immune domains of physiological stress measured within 3 years after baseline. Neighborhood data were appended to participants' geocoded baseline addresses. Odds ratios (OR) and 95% confidence intervals (CI) were used to estimate associations between neighborhood stressors and risk of higher AL score. Adjusting for age and stage, high AL was positively associated with low versus high neighborhood socioeconomic status (nSES; OR=2.24, 95% CI=1.61-3.12) and green space (OR=1.55, 95% CI=1.18-2.03); high versus low traffic (OR=1.32, 95% CI=1.01-1.72), crime (OR=1.32, 95% CI=1.05-1.67), and household crowding (OR=1.57, 95% CI=1.22-2.01); and more versus no fast-food restaurants (OR=1.50, 95% CI=1.21-1.84). Associations remained for nSES and fast-food restaurants after co-adjustment with other neighborhood stressors, and for fast-food restaurants after additional adjustment with individual sociodemographic and lifestyle factors. Our preliminary findings can inform further studies of the physiological effects of neighborhood stressors, which collectively may help improve survivorship outcomes for the growing population of breast cancer survivors.

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Importance: The five 1997 Office of Management and Budget races in the US include American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White, with Hispanic ethnicity. Despite the Affordable Care Act mandating Office of Management and Budget-based collecting and reporting standards, race and ethnicity publishing in medical journals is inconsistent, despite being necessary to achieve health equity. Objective: To quantify race and ethnicity reporting rates and calculate representation quotients (RQs) in published oncology clinical trials. Evidence Review: In this systematic review, PubMed and Embase were queried for phase 2/3 clinical trials of the 6 most common noncutaneous solid cancers, published between January 1, 2012, and December 31, 2022, in 4 high-impact journals. Trial characteristics were recorded. The RQs for each race and ethnicity were calculated by dividing the percent of representation in each clinical trial publication by the percent of year-matched, site-specific incident cancers in the US, compared with Kruskal-Wallis tests with Bonferroni correction (BC). Reporting was compared between journal publications and ClinicalTrials.gov. Findings: Among 1202 publications evaluated, 364 met inclusion criteria: 16 JAMA, 241 Journal of Clinical Oncology, 19 Lancet, and 88 New England Journal of Medicine. Publications included 268 209 patients (171 132 women [64%]), with a median of 356 (IQR, 131-800) patients per publication. Reported race and ethnicity included American Indian or Alaska Native in 52 (14%) publications, Asian in 196 (54%), Black or African American in 215 (59%), Hispanic in 67 (18%), Native Hawaiian or Other Pacific Islander in 28 (8%), and White in 254 (70%). Median RQ varied across race (P < .001 BC), with 1.04 (IQR, 0.09-4.77) for Asian, 0.98 (IQR, 0.86-1.06) for White, 0.42 (IQR, 0.12-0.75) for Black or African American, and 0.00 (IQR, 0.00-0.00) for both American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander patients. Sensitivity analyses showed similar findings on subset analysis for US-only clinical trials. There was significantly less race and ethnicity reporting in the clinical trial publications compared with ClinicalTrials.gov documentation for American Indian or Alaska Native (14% vs 45%; P < .001 per McNemar χ2 test with continuity correction [MC]) and Native Hawaiian or Other Pacific Islander (8% vs 43%; P < .001 MC). Conclusions and Relevance: While most phase 2/3 oncology clinical trials published in high-impact journals report race and ethnicity, most did not report American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander racial categories. Our findings support a call to action for consistent journal policies and transparent race and ethnicity reporting, in alignment with Affordable Care Act-concordant race and ethnicity federal reporting requirements.

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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.

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BACKGROUND: Cancer is the leading cause of death among Asian Americans, who often face barriers to cancer care. Cancer supportive care needs among Asian Americans remain understudied. AIMS: We examined cancer supportive care needs and participant factors correlated with these needs, identified profiles of supportive care needs, and examined whether needs profiles are associated with quality of life among Asian American adults. METHODS AND RESULTS: We recruited 47 Asian American adults with colorectal, liver, or lung cancer who spoke Chinese, English, or Vietnamese, and were starting or undergoing cancer treatment. We assessed cancer supportive care needs in four domains: cancer information, daily living, behavioral health, and language assistance. Hierarchical cluster analysis was used to identify clusters of participants based on their supportive need profiles to further examine the association between need profiles and quality of life (QoL) assessed by the Functional Assessment of Cancer Therapy. Participants (mean age = 57.6) included 72% males and 62% spoke English less than very well. Older participants (age ≥ 65) and those with annual income <$50K reported higher daily living needs. Men and younger participants (age < 50) reported higher behavioral health needs. We found three clusters displaying distinct cancer supportive need profiles: Cluster 1 (28% of the sample) displayed high needs across all domains; Cluster 2 (51%) had low needs across all domains; and Cluster 3 (21%) had high needs for cancer information and daily living. Cluster 1 participants reported the lowest QoL. CONCLUSION: Cancer supportive care needs among Asian American patients with colorectal, liver, and lung cancer were associated with patient characteristics and QoL. Understanding cancer supportive care needs will inform future interventions to improve care and QoL for Asian American patients with cancer. CLINICALTRIALS: gov Identifier: NCT03867916.

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BACKGROUND: We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke. METHODS: We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes. RESULTS: We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant. CONCLUSIONS: We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.

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PURPOSE: Little data exist regarding approaches to support oncology professionals who deliver cancer care for underserved populations. In response, ASCO developed the Serving the Underserved Task Force to learn from and support oncology professionals serving underserved populations. METHODS: The Task Force developed a 28-question survey to assess oncology professionals' experiences and strategies to support their work caring for underserved populations. The survey was deployed via an online link to 600 oncology professionals and assessed respondent and patient demographic characteristics, clinic-based processes to coordinate health-related social services, and strategies for professional society support and engagement. We used chi-square tests to evaluate whether there were associations between percent full-time equivalent (FTE) effort serving underserved populations (<50% FTE v ≥50% FTE) with responses. RESULTS: Of 462 respondents who completed the survey (77% response rate), 79 (17.1%) were Asian; 30 (6.5%) Black; 43 (9.3%) Hispanic or Latino/Latina; and 277 (60%) White. The majority (n = 366, 79.2%) had a medical doctor degree (MD). A total of 174 (37.7%) had <25% FTE, 151 (32.7%) had 25%-50% FTE, and 121 (26.2%) had ≥50% FTE effort serving underserved populations. Most best guessed patients' sociodemographic characteristics (n = 388; 84%), while 42 (9.2%) used data collected by the clinic. Social workers coordinated most health-related social services. However, in clinical settings with high proportions of underserved patients, there was greater reliance on nonclinical personnel, such as navigators (odds ratio [OR], 2.15 [95% CI, 1.07 to 4.33]) or no individual (OR, 2.55 [95% CI, 1.14 to 5.72]) for addressing mental health needs and greater reliance on physicians or advance practice practitioners (OR, 2.54 [95% CI, 1.11 to 5.81]) or no individual (OR, 1.91 [95% CI, 1.09 to 3.35]) for addressing childcare or eldercare needs compared with social workers. Prioritization of solutions, which did not differ by FTE effort serving underserved populations, included a return-on-investment model to support personnel, integrated health-related social needs screening, and collaboration with the professional society on advocacy and policy. CONCLUSION: The findings highlight crucial strategies that professional societies can implement to support oncology clinicians serving underserved populations with cancer.

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Black men have a greater risk of prostate cancer as well as worse quality of life and more decisional regret after prostate cancer treatment compared to non-Hispanic White men. Furthermore, patients with prostate cancer who primarily obtain information on the internet have significantly more decisional regret compared to other information sources. Our objective was to explore the perspectives of Black patients on the use and impact of the internet for their prostate cancer care. In 2022-2023, we conducted seven virtual focus groups with Black patients with prostate cancer (n = 22). Transcripts were independently analyzed by two experienced researchers using a constant comparative method. Online sources were commonly used by participants throughout their cancer journey, although informational needs varied over time. Patient factors affected use (e.g., physical health and experience with the internet), and family members played an active role in online information-seeking. The internet was used before and after visits to the doctor. Key topics that participants searched for online included nutrition and lifestyle, treatment options, and prostate cancer in Black men. Men reported many downstream benefits with internet use including feeling more empowered in decision-making, reducing anxiety about treatment and providing greater accountability for research. However, they also reported negative impacts such as feeling overwhelmed or discouraged sorting through the information to identify high-quality content that is personally relevant, as well as increased anxiety or loss of sleep from overuse. In summary, online sources have the potential to positively impact the cancer journey by reinforcing or supplementing information from health care providers, but can be harmful if the information is poor quality, not representative, or the internet is overused.

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PURPOSE: Although the majority of US adults obtain health information on the internet, the quality of information about prostate cancer is highly variable. Black adults are underrepresented in online content about prostate cancer despite a higher incidence of and mortality from the disease. The goal of this study was to explore the perspectives of Black patients with prostate cancer on the importance of racial representation in online content and other factors influencing trust. MATERIALS AND METHODS: We conducted 7 virtual focus groups with Black patients with prostate cancer in 2022 and 2023. Participants completed an intake questionnaire with demographics followed by a group discussion, including feedback on purposefully selected online content. Transcripts were independently analyzed by 2 investigators experienced in qualitative research using a constant comparative method. RESULTS: Most participants use online sources to look for prostate cancer information. Racial representation is an important factor affecting trust in the content. A lack of Black representation has consequences, including misperceptions about a lower risk of prostate cancer and discouraging further information-seeking. Other key themes affecting trust in online content included the importance of a reputable source of information, professional website structure, and soliciting money. CONCLUSIONS: Underrepresentation of Black adults in prostate cancer content has the potential to worsen health disparities. Optimal online communications should include racially diverse representation and evidence-based information in a professional format from reputable sources without financial conflict.

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The COVID-19 pandemic exacerbated racism experienced by Asian Americans, especially women and older individuals. Little is known about how discriminatory experiences during the pandemic have influenced health behaviors among Asian Americans. Between 10/2021 and 6/2022, we surveyed 193 Asian American women in the San Francisco area. Participants were asked to report types of discrimination they experienced since March 2020. We explored bivariable associations of discrimination and changes in health behaviors and healthcare utilization. Most women were Chinese American (75%) and over 45-years-old (87%). The top three discriminatory experiences reported were being treated with less respect (60%), being treated unfairly at restaurants/stores (49%), and people acting as if they are better (47%). Chinese American women (vs. non-Chinese Asian American women) reported higher frequencies of being threatened/harassed (40% vs. 22%). Women who reported any discriminatory experience (vs. none) were more likely to report less physical exercise (42.7% vs. 26.3%) and canceling/rescheduling medical appointments (65.0% vs. 45.1%). Our findings begin to elucidate Asian American women's experiences of discrimination since the pandemic and provide evidence of the harmful impacts of anti-Asian racism on health behaviors.

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The health of Asian Americans, Native Hawaiians, and Pacific Islanders (AANHPI) is uniquely impacted by structural and social determinants of health (SSDH) shaped by immigration policies and colonization practices, patterns of settlement, and racism. These SSDH also create vast heterogeneity in disease risks across the AANHPI population, with some ethnic groups having high disease burden, often masked with aggregated data. Longitudinal cohort studies are an invaluable tool to identify risk factors of disease, and epidemiologic cohort studies among AANHPI populations have led to seminal discoveries of disease risk factors. This review summarizes the limited but growing literature, with a focus on SSDH factors, from seven longitudinal cohort studies with substantial AANHPI samples. We also discuss key information gaps and recommendations for the next generation of AANHPI cohorts, including oversampling AANHPI ethnic groups; measuring and innovating on measurements of SSDH; emphasizing the involvement of scholars from diverse disciplines; and, most critically, engaging community members to ensure relevancy for public health, policy, and clinical impact.

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