Mediators of racial/ethnic inequities in clinical trial participation among patients with cancer, 2011-2023.

BACKGROUND: While minoritized populations are less likely to participate in cancer trials, it is unknown whether social determinants of health (SDOH) explain these inequities. Here we identify SDOH factors that contribute to racial/ethnic inequities in clinical trial participation among patients with 22 common cancers. METHODS: This retrospective cohort study used electronic health record data (2011-2023) linked to neighborhood (Census tract) data from multiple sources. Patients were followed from diagnosis to clinical study drug receipt (proxy for trial participation), death, or last recorded activity. Associations were assessed using Cox proportional hazards models adjusted for clinical factors (diagnosis year, age, sex, performance status, stage, cancer type). To elucidate which area-level SDOH underlie racial/ethnic inequities, mediation analysis was performed using nonlinear multiple additive regression tree models. RESULTS: This study included 250105 patients (64.7% non-Latinx White, 8.9% non-Latinx Black, 5.2% Latinx). Black and Latinx patients were more likely to live in economically/socially marginalized areas (eg, disproportionately minoritized [measure of segregation], limited English proficiency [LEP], low vehicle ownership) than White patients. Black (3.7%; HR = 0.55 [CI = 0.52-0.60]) and Latinx patients (4.4%; HR = 0.63 [CI = 0.58-0.69]) were less likely to participate in trials than White patients (6.3%). Fewer patients in economically/socially marginalized neighborhoods participated in trials. Mediators explained 62.2% (CI = 49.5%-74.8%) of participation inequities between Black and White patients; area-level SDOH-including segregation (29.9% [CI = 21.2%-38.6%]) and vehicle ownership (11.6% [CI = 7.0%-16.1%])-were the most important mediators. Similarly, Latinx-White participation inequities were mediated (65.1%, [CI = 49.8%-80.3%]) by area-level SDOH such as segregation (39.8% [CI = 28.3%-51.3%]), LEP (11.6%, [CI = 2.8%-20.4%]), and vehicle ownership (9.6% [CI = 5.8%-13.5%]). CONCLUSIONS: To improve racial/ethnic diversity in cancer trials, efforts to address barriers related to adverse neighborhood SDOH factors are necessary.

Changes in Emergency Contraceptive Fills After Massachusetts' Statewide Standing Order.

This study examines whether policies that reduce prescribing barriers may improve access to emergency contraceptives, particularly ulipristal.

Are community oncology practices with or without clinical research programs different? A comparison of patient and practice characteristics.

BACKGROUND: Expanding access to clinical trials in community settings is a potential approach to addressing disparities in accrual of historically underrepresented populations. However, little is known about the characteristics of practices that do not participate in research. We investigated differences in patient and practice characteristics of US community oncology practices with high vs low engagement in clinical research. METHODS: We included patients from a real-world, nationwide electronic health record-derived, de-identified database who received active treatment for cancer at community oncology practices between November 1, 2017, and October 31, 2022. We assessed patient and practice characteristics and their associations with high vs low research engagement using descriptive analyses and logistic regression models. RESULTS: Of the 178 practices, 70 (39.3%) events had high research engagement, treated 57.8% of the overall 568 540 patient cohort, and enrolled 3.25% of their patients on cancer treatment trials during the 5-year observation period (vs 0.27% enrollment among low engagement practices). Practices with low vs high research engagement treated higher proportions of the following patient groups: ages 75 years and older (24.2% vs 21.8%), non-Latinx Black (12.6% vs 10.3%) or Latinx (11.6% vs 6.1%), were within the lowest socioeconomic status quintile (21.9% vs16.5%), and were uninsured or had no documented insurance (22.2% vs 13.6%). CONCLUSIONS: Patient groups historically underrepresented in oncology clinical trials are more likely to be treated at community practices with limited or no access to trials. These results suggest that investments to expand the clinical research footprint among practices with low research engagement could help address persistent inequities in trial representation.

Use of Oral and Emergency Contraceptives After the US Supreme Court's Dobbs Decision.

Importance: The US Supreme Court Dobbs v Jackson Women's Health Organization decision allowed states to strengthen restrictions on abortion access, triggering the closure of family planning clinics and leading to confusion about the legality of emergency contraceptives (ECs). Objectives: To evaluate the association between the Dobbs decision and fills for oral and emergency contraceptives in states that enacted the most restrictive abortion policies after Dobbs. Design, Setting, and Participants: This cohort study used data on contraceptive fills for women of reproductive age (15-49 years) in the US from IQVIA's National Prescription Audit PayerTrak and data from the Guttmacher Institute were used to categorize changes in abortion restrictions in each state. A difference-in-differences analysis compared changes in monthly fill rates for daily oral contraceptive pills (OCPs) and ECs in states that became most restrictive (implemented a full abortion ban after Dobbs) and comparison states (kept a medium level of abortion restrictions after Dobbs) before (March 2021 to November 2021) and after (July 2022 to October 2023) the Dobbs decision. Exposure: State-level abortion restrictions. Main Outcomes and Measures: Monthly fills of OCPs and ECs per 100 000 women of reproductive age. Results: Between March 2021 and October 2023, 142.8 million prescriptions for OCPs and 904 269 prescriptions for ECs were dispensed at US retail pharmacies. Before Dobbs, trends in monthly fill rates were similar for OCPs and ECs between the most restrictive and comparison states. After the Dobbs decision, states that became the most restrictive experienced an additional 4.1% decline in OCP fills with 285.9 fewer fills per 100 000 (95% CI, -495.8 to -6.8; P = .04). In contrast to OCPs, fills for ECs increased during the first year after Dobbs (July 2022 to June 2023) in both groups of states. However, 1 year after Dobbs (July 2023 to October 2023), the most restrictive states experienced an additional 65% decrease in emergency contraceptive fills with 13.2 fewer fills per 100 000 (95% CI, -27.2 to -4.1; P = .01). Conclusions and Relevance: In this cohort study of prescriptions filled at US pharmacies, the Dobbs decision was associated with declines in oral contraceptives, particularly ECs, in states enacting the most restrictive abortion policies. Given the important role of OCPs and ECs in preventing pregnancy and the need for abortion, efforts to improve access may be needed, especially in states where legal abortion is no longer an option.

Racialized economic segregation and inequities in treatment initiation and survival among patients with metastatic breast cancer.

PURPOSE: Racialized economic segregation, a form of structural racism, may drive persistent inequities among patients with breast cancer. We examined whether a composite area-level index of racialized economic segregation was associated with real-world treatment and survival in metastatic breast cancer (mBC). METHODS: We conducted a retrospective cohort study among adult women with mBC using a US nationwide electronic health record-derived de-identified database (2011-2022). Population-weighted quintiles of the index of concentration at the extremes were estimated using census tract data. To identify inequities in time to treatment initiation (TTI) and overall survival (OS), we employed Kaplan-Meier methods and estimated hazard ratios (HR) adjusted for clinical factors. RESULTS: The cohort included 27,459 patients. Compared with patients from the most privileged areas, those from the least privileged areas were disproportionately Black (36.9% vs. 2.6%) or Latinx (13.2% vs. 2.6%) and increasingly diagnosed with de novo mBC (33.6% vs. 28.9%). Those from the least privileged areas had longer median TTI than those from the most privileged areas (38 vs 31 days) and shorter median OS (29.7 vs 39.2 months). Multivariable-adjusted HR indicated less timely treatment initiation (HR 0.87, 95% CI 0.83, 0.91, p < 0.01) and worse OS (HR 1.19, 95% CI 1.13, 1.25, p < 0.01) among those from the least privileged areas compared to the most privileged areas. CONCLUSION: Racialized economic segregation is a social determinant of health associated with treatment and survival inequities in mBC. Public investments directly addressing racialized economic segregation and other forms of structural racism are needed to reduce inequities in cancer care and outcomes.

Broadening Eligibility Criteria and Diversity among Patients for Cancer Clinical Trials.

BACKGROUND: Certain populations have been historically underrepresented in clinical trials. Broadening eligibility criteria is one approach to inclusive clinical research and achieving enrollment goals. How broadened trial eligibility criteria affect the diversity of eligible participants is unknown. METHODS: Using a nationwide electronic health record-derived deidentified database, we identified a retrospective cohort of patients diagnosed with 22 cancer types between April 1, 2013 and December 31, 2022 who received systemic therapy (N=235,234) for cancer. We evaluated strict versus broadened eligibility criteria using performance status and liver, kidney, and hematologic function around first line of therapy. We performed logistic regression to estimate odds ratios for exclusion by strict criteria and their association with measures of patient diversity, including sex, age, race or ethnicity, and area-level socioeconomic status (SES); estimated the impact of broadening criteria on the number and distribution of eligible patients; and performed Cox regression to estimate hazard ratios for real-world overall survival (rwOS) comparing patients meeting strict versus broadened criteria. RESULTS: When applying common strict cutoffs for eligibility criteria to patients with complete data and weighting each cancer type equally, 48% of patients were eligible for clinical trials. Female (odds ratio, 1.30; 95% confidence interval [CI], 1.25 to 1.35), older (age 75+ vs. 18 to 49 years old: odds ratio, 3.04; 95% CI, 2.85 to 3.24), Latinx (odds ratio, 1.46; 95% CI, 1.39 to 1.54), non-Latinx Black (odds ratio, 1.11; 95% CI, 1.06 to 1.16), and lower-SES patients were more likely to be excluded using strict eligibility criteria. Broadening criteria increased the number of eligible patients by 78%, with the strongest impact for older, female, non-Latinx Black, and lower-SES patients. Patients who met only broadened criteria had worse rwOS versus those with strict criteria (hazard ratio, 1.31; 95% CI, 1.27 to 1.34). CONCLUSIONS: Data-driven evaluation of clinical trial eligibility criteria may optimize the eligibility of certain historically underrepresented groups and promote access to more inclusive trials. (Sponsored by Flatiron Health.).

Diagnoses and Treatment of Behavioral and Psychological Symptoms of Dementia Among Racially and Ethnically Diverse Persons Living with Dementia.

Background: Behavioral and psychological symptoms of dementia (BPSD) and prescribed central nervous system (CNS) active drugs to treat them are prevalent among persons living with Alzheimer's disease and related dementias (PLWD) and lead to negative outcomes for PLWD and their caregivers. Yet, little is known about racial/ethnic disparities in diagnosis and use of drugs to treat BPSD. Objective: Quantify racial/ethnic disparities in BPSD diagnoses and CNS-active drug use among community-dwelling PLWD. Methods: We used a retrospective cohort of community-dwelling Medicare Fee-for-Service beneficiaries with dementia, continuously enrolled in Parts A, B and D, 2017-2019. Multivariate logistic models estimated rates of BPSD diagnosis and, conditional on diagnosis, CNS-active drug use. Results: Among PLWD, 67.1% had diagnoses of an affective, psychosis or hyperactivity symptom. White (68.3%) and Hispanic (63.9%) PLWD were most likely, Blacks (56.6%) and Asians (52.7%) least likely, to have diagnoses. Among PLWD with BPSD diagnoses, 78.6% took a CNS-active drug. Use was highest among whites (79.3%) and Hispanics (76.2%) and lowest among Blacks (70.8%) and Asians (69.3%). Racial/ethnic differences in affective disorders were pronounced, 56.8% of white PLWD diagnosed; Asians had the lowest rates (37.8%). Similar differences were found in use of antidepressants. Conclusions: BPSD diagnoses and CNS-active drug use were common in our study. Lower rates of BPSD diagnoses in non-white compared to white populations may indicate underdiagnosis in clinical settings of treatable conditions. Clinicians' review of prescriptions in this population to reduce poor outcomes is important as is informing care partners on the risks/benefits of using CNS-active drugs.

Sociodemographic inequities in COVID-19 vaccination among adults in the United States, 2022.

BACKGROUND: Despite the availability of COVID-19 vaccines since December 2020, sociodemographic inequities in vaccination and preventable COVID-related deaths persist. To inform efforts for equitable COVID-19 vaccination campaigns, a comprehensive national evaluation of existing inequities is necessary. OBJECTIVE: To examine sociodemographic inequities in COVID-19 vaccination receipt using data from the 2022 National Health Interview Survey (NHIS). METHODS: This secondary data analysis used cross-sectional nationally-representative data from the 2022 NHIS to assess vaccination inequities among 27,126 adults. Separate Poisson regressions adjusted for clinical factors (e.g., age, sex, high-risk health conditions) were used to evaluate vaccination inequities across sociographic factors (e.g., race/ethnicity, poverty, health insurance). RESULTS: In 2022, 79.6% of adults received at ≥ 1 vaccine dose, 75.0% received ≥ 2 doses ("fully vaccinated"), 45.7% received ≥ 3 doses (≥ 1 booster), and 17.2% received ≥ 4 doses (≥ 2 boosters). Marked inequities were evident in COVID-19 vaccination across primary and booster doses, especially receipt of at least 1 booster dose (≥ 3 doses). Black (35.7%, prevalence ratio [PR] 0.78 [95% CI 0.74-0.83]) and Latinx (35.5%, PR 0.82 [CI 0.78-0.86]) adults were less likely to receive ≥ 3 doses than Asian (66.5%, PR 1.41 [CI 1.35-1.48]) and White (48.8%) adults. Poverty (31.1% [PR 0.65 {CI 0.61-0.69}] vs. 50.7%) and food insecurity (27.1% [PR 0.63 {CI 0.58-0.68}] vs. 47.3%) were negatively associated with receipt of ≥ 3 vaccine doses. Adults without usual source of care (24.9%, PR 0.61 [CI 0.57-0.65]) or health insurance (17.4%, PR 0.40 [CI 0.36-0.45]) had much lower rates of ≥ 3 doses than those with appropriate health care access (48.7% and 51.9%, respectively). CONCLUSION: As of 2022, 1-in-5 U.S. adults remain unvaccinated, and more than half have not received any recommended booster doses. Economically/socially marginalized populations-including Black and Latinx adults and those with structural barriers such as poverty, food insecurity, and poor health care access-were less likely to receive a booster. Addressing these vaccination inequities is crucial to achieve equitable COVID-19 protection and reduce preventable deaths among economically/socially marginalized populations.

Association Between Pharmacy Proximity With Cardiovascular Medication Use and Risk Factor Control in the United States.

BACKGROUND: Poor neighborhood-level access to health care, including community pharmacies, contributes to cardiovascular disparities in the United States. The authors quantified the association between pharmacy proximity, antihypertensive and statin use, and blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) among a large, diverse US cohort. METHODS AND RESULTS: A cross-sectional analysis of Black and White participants in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study during 2013 to 2016 was conducted. The authors designated pharmacy proximity by census tract using road network analysis with population-weighted centroids within a 10-minute drive time, with 5- and 20-minute sensitivity analyses. Pill bottle review measured medication use, and BP and LDL-C were assessed using standard methods. Poisson regression was used to quantify the association between pharmacy proximity with medication use and BP control, and linear regression for LDL-C. Among 16 150 REGARDS participants between 2013 and 2016, 8319 (51.5%) and 8569 (53.1%) had an indication for antihypertensive and statin medication, respectively, and pharmacy proximity data. The authors did not find a consistent association between living in a census tract with higher pharmacy proximity and antihypertensive medication use, BP control, or statin medication use and LDL-C levels, regardless of whether the area was rural, suburban, or urban. Results were similar among the 5- and 20-minute drive-time analyses. CONCLUSIONS: Living in a low pharmacy proximity census tract may be associated with antihypertensive and statin medication use, or with BP control and LDL-C levels. Although, in this US cohort, outcomes were similar for adults living in high or low pharmacy proximity census tracts.

Access to community pharmacies based on drive time and by rurality across the contiguous United States.

BACKGROUND: Considering that mail-order pharmacy use remains low in the United States, geographic accessibility of community pharmacies (pharmacy access) can have an outsized impact on a community's access to services and care, especially among rural residents. However, previous measurements of pharmacy access rely on methods that do not capture all aspects of geographic access. OBJECTIVES: This study aimed to measure pharmacy access across the contiguous United States and by rural, suburban, and urban areas using drive-time analysis and an improved methodological approach. METHODS: The 2-step floating catchment area method was used to measure pharmacy access by considering the supply capacity of pharmacies, population demand for pharmacies, and the interaction between them within a reasonable travel time range. This method is a methodologically improved approach compared with previous methods for measuring geographic access. Network analysis was used to measure drive time from the population-weighted centroids of census tracts to the geocoded location of community pharmacies. Census tract-level pharmacy access was measured using a 10- and 20-minute drive time. Census tracts were also categorized based on population per square mile as rural (< 1000), suburban (1000-3000), and urban (> 3000). RESULTS: Across the contiguous United States, 79.9% and 91.1% of census tracts had access to at least 1 pharmacy per 10,000 people within a 10- and 20-minute drive time, respectively. Rural census tracts had the lowest share of access to at least 1 pharmacy per 10,000 people compared with suburban and urban tracts and for both drive times. CONCLUSION: Community pharmacies are highly accessible health care access points, specifically in urban and suburban areas. Pharmacies should be considered to expand access to services with limited geographic accessibility such as treatment programs for opioid use disorders, primary care, and healthy foods.

Changes in HIV Pre-exposure Prophylaxis (PrEP) Coverage at State and County Level During the COVID-19 Pandemic in the United States.

This study quantifies the prevalence and trends in weekly PrEP coverage at the national, state and county-level, before and during the COVID-19 pandemic in the United States.We estimated weekly PrEP coverage using longitudinal individual-level pharmacy claims from IQVIA LRx for a cohort of PrEP users (N = 287,493) ages 16 to 85 years between December 29th, 2019 and November 8th, 2020. Weekly PrEP coverage was defined as PrEP use among individuals at high risk for HIV. We conducted an interrupted time series analysis to quantify changes in weekly PrEP coverage before (December 29th, 2019 - March 8th, 2020) and during (March 29th - November 8th, 2020) the COVID-19 pandemic at the national, state and county-level by county characteristics, specifically by EHE priority jurisdiction, racial/ethnic composition, and urbanity. Nationally, weekly PrEP coverage among individuals ages 16 to 85 at high risk for HIV declined by 11.5% (from 11.0% before to 9.5% during the pandemic; t = 8.02,p < 0.01). Weekly PrEP coverage declined in all states and most counties yet varied substantially across states and counties. Geographic disparities in weekly PrEP coverage were also observed between urban EHE priority counties with significantly lower rates in counties with ≥ 50% Black/Latinx population when compared to their counterparts (7.9% vs. 11.2%; t = 18.91,p < 0.01);these disparities were most pronounced in California and New York. Weekly PrEP coverage was much lower than the 25% annual coverage reported by the Centers for Disease Control and geographic disparities observed within states likely contribute to the persistent racial/ethnic disparities in new HIV diagnoses observed within those states.

Risk of contralateral breast cancer among Asian/Pacific Islander women in the United States.

PURPOSE: While breast cancer studies often aggregate Asian/Pacific Islander (API) women, as a single group or exclude them, this population is heterogeneous in terms of genetic background, environmental exposures, and health-related behaviors, potentially resulting in different cancer outcomes. Our purpose was to evaluate risks of contralateral breast cancer (CBC) among subgroups of API women with breast cancer. METHODS: We conducted a retrospective cohort study of women ages 18 + years diagnosed with stage I-III breast cancer between 2000 and 2016 in the Surveillance, Epidemiology and End Results registries. API subgroups included Chinese, Japanese, Filipina, Native Hawaiian, Korean, Vietnamese, Indian/Pakistani, and other API women. Asynchronous CBC was defined as breast cancer diagnosed in the opposite breast 12 + months after first primary unilateral breast cancer. Multivariable-adjusted subdistribution hazard ratios (SHR) and 95% confidence intervals (CI) were estimated and stratified by API subgroups. RESULTS: From a cohort of 44,362 API women with breast cancer, 25% were Filipina, 18% were Chinese, 14% were Japanese, and 8% were Indian/Pakistani. API women as an aggregate group had increased risk of CBC (SHR 1.15, 95% CI 1.08-1.22) compared to NHW women, among whom Chinese (SHR 1.23, 95% CI 1.08-1.40), Filipina (SHR 1.37, 95% CI 1.23-1.52), and Native Hawaiian (SHR 1.69, 95% CI 1.37-2.08) women had greater risks. CONCLUSION: Aggregating or excluding API patients from breast cancer studies ignores their heterogeneous health outcomes. To advance cancer health equity among API women, future research should examine inequities within the API population to design interventions that can adequately address their unique differences.

Socioeconomic status and inequities in treatment initiation and survival among patients with cancer, 2011-2022.

BACKGROUND: Lower neighborhood socioeconomic status (SES) is associated with suboptimal cancer care and reduced survival. Most studies examining cancer inequities across area-level socioeconomic status tend to use less granular or unidimensional measures and pre-date the COVID-19 pandemic. Here, we examined the association of area-level socioeconomic status on real-world treatment initiation and overall survival among adults with 20 common cancers. METHODS: This retrospective cohort study used electronic health record-derived deidentified data (Flatiron Health Research Database, 2011-2022) linked to US Census Bureau data from the American Community Survey (2015-2019). Area-level socioeconomic status quintiles (based on a measure incorporating income, home values, rental costs, poverty, blue-collar employment, unemployment, and education information) were computed from the US population and applied to patients based on their mailing address. Associations were examined using Cox proportional hazards models adjusted for diagnosis year, age, sex, performance status, stage, and cancer type. RESULTS: This cohort included 291 419 patients (47.7% female; median age = 68 years). Patients from low-SES areas were younger and more likely to be Black (21.9% vs 3.3%) or Latinx (8.4% vs 3.0%) than those in high-SES areas. Living in low-SES areas (vs high) was associated with lower treatment rates (hazard ratio = 0.94 [95% confidence interval = 0.93 to 0.95]) and reduced survival (median real-world overall survival = 21.4 vs 29.5 months, hazard ratio = 1.20 [95% confidence interval = 1.18 to 1.22]). Treatment and survival inequities were observed in 9 and 19 cancer types, respectively. Area-level socioeconomic inequities in treatment and survival remained statistically significant in the COVID-19 era (after March 2020). CONCLUSION: To reduce inequities in cancer outcomes, efforts that target marginalized, low-socioeconomic status neighborhoods are necessary.

Sociodemographic Inequities in Telemedicine Use Among US Patients Initiating Treatment in Community Cancer Centers During the Ongoing COVID-19 Pandemic, 2020-2022.

PURPOSE: Although telemedicine was seen as a way to improve cancer care during the coronavirus disease (COVID-19) pandemic, there is limited information regarding inequities in its uptake. This study assessed sociodemographic factors associated with telemedicine use among patients initiating treatment for 20 common cancers. METHODS: This retrospective cohort study used deidentified electronic health record-derived patient data from a nationwide network of community cancer practices, linked to area-level Census information. We included adults (age 18 years and older) who initiated first-line systemic cancer treatment between March 2020 and December 2022 (follow-up through March 2023). Exposures include race/ethnicity, insurance status, and area-level social determinants of health (eg, block group socioeconomic status [SES]). The outcome was telemedicine use within 90 days after treatment initiation. Associations were examined using logistic regression models adjusted for age, sex, performance status, stage, and cancer type. RESULTS: This study included 36,993 patients (48.6% women; median age, 69 years), of whom 15.1% used telemedicine services. Black (12.2%; odds ratio [OR], 0.78 [95% CI, 0.70 to 0.88]) and uninsured (9.2%; OR, 0.59 [95% CI, 0.48 to 0.73]) patients were less likely to use telemedicine services than their White and well-insured counterparts (14.5% and 15.0%, respectively). Patients in rural (9.7%; OR, 0.54 [95% CI, 0.46 to 0.57]), suburban (11.8%; OR, 0.67 [95% CI, 0.61 to 0.74]), and low SES areas (9.9%; OR, 0.39 [95% CI, 0.35 to 0.43]) were less also likely to use telemedicine than their counterparts in urban (16.6%) or high SES (21.6%) areas. CONCLUSION: Nearly one sixth of patients initiating cancer treatment during the pandemic used telemedicine, but there were substantial inequities. The proliferation of telemedicine may perpetuate cancer care inequities if marginalized populations do not have equitable access.

Racial and Ethnic Inequities in US Oncology Clinical Trial Participation From 2017 to 2022.

Importance: There is increasing recognition from regulatory agencies that racial and ethnic representation in clinical trials is inadequate and linked to health inequities. The extent of racial inequities in clinical trial participation is unclear because prior studies have synthesized enrollment data from published trials, which often do not report participant race and ethnicity. Objective: To evaluate racial and ethnic inequities in oncology clinical trial participation in a contemporary cohort of patients with cancer before and during the COVID-19 pandemic. Design, Setting, and Participants: This cohort study used a nationwide electronic health record-derived deidentified database, which includes data for approximately 280 US cancer clinics (approximately 800 sites of care). The study included Latinx, non-Latinx Black (hereinafter, Black), and non-Latinx White (reference; hereinafter, White) patients aged 18 years or older who had been diagnosed with advanced non-small cell lung cancer, metastatic colorectal cancer, metastatic breast cancer, multiple myeloma, or metastatic pancreatic cancer between January 1, 2017, and June 30, 2022 (follow-up through December 31, 2022). Data analysis was performed between August 1, 2022, and February 7, 2023. Exposures: Electronic health record-documented race and ethnicity. Main Outcomes and Measures: The main outcome was oncology trial participation (ie, receipt of a clinical study drug). Stratified cause-specific hazard models were used to estimate adjusted hazard ratios (HRs) and 95% CIs for likelihood of participation. Participation was assessed overall, by cancer type, and by period of diagnosis (2017-2019 vs 2020-2022). Results: Of the 50 411 patients in this study, 28 878 (57.3%) were women and 21 533 (42.7%) were men. Black and Latinx patients were younger than White patients, with a median age of 65 (IQR, 57-72), 64 (IQR, 54-73), and 68 (IQR, 60-76) years, respectively. Oncology trial participation was lower among Black patients (307 of 6912 [4.4%]) and Latinx patients (166 of 3973 [4.2%]) relative to White patients (2858 of 39 526 [7.2%]) over the entire study period. Inequities in participation were observed across the 5 cancer types studied, with notably large inequities observed among Black patients (HR, 0.54 [95% CI, 0.36-0.81]) and Latinx patients (HR, 0.46 [95% CI, 0.27-0.77]) with metastatic pancreatic cancer. Moreover, inequities between Black and White patients in terms of participation widened among those diagnosed in the COVID-19 era (2020-2022: HR, 0.49 [95% CI, 0.40-0.60] vs 1.00 [95% CI, 0.93-1.09]) relative to those diagnosed before the pandemic (2017-2019: HR, 0.61 [95% CI, 0.53-0.70] vs 1 [reference]). Conclusions and Relevance: The findings of this cohort study suggest that oncology trial participation was lower among Black and Latinx patients relative to White patients across all 5 cancer types examined. These findings, including potentially widening inequities in the COVID-19 era, support the need for regulatory guidance to improve enrollment of participants from historically excluded racial and ethnic populations in clinical trials.

Residence in Hispanic/Latino Immigrant Neighborhoods, Away-From-Home Food Consumption, and Diet Quality: The Hispanic Community Health Study/Study of Latinos.

BACKGROUND: Hispanics/Latinos are disproportionately burdened by nutrition-related diseases but immigrants appear healthier than their US-born counterparts. Neighborhoods characterized by high Hispanic/Latino immigrant segregation may provide environments to support healthier diets. OBJECTIVE: To examine whether or not Hispanic/Latino immigrant segregation is associated with frequency of away-from-home food consumption and diet quality in a large, diverse sample of Hispanic/Latino adults. DESIGN: Cross-sectional baseline data from the Hispanic Community Health Study/Study of Latinos were analyzed (2008-2011). Residential addresses were geocoded and linked to census tract-level 2008-2012 American Community Survey data. Hispanic/Latino immigrant segregation was characterized using the local Getis-Ord Gi∗ statistic, a spatial clustering measure that quantifies the extent to which demographically similar neighborhoods group together. PARTICIPANTS/SETTING: Participants were 15,661 adults in the Hispanic Community Health Study/Study of Latinos, a population-based study of Hispanic/Latinos aged 18 to 74 years from 4 US regions (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA). MAIN OUTCOME MEASURES: Away-from-home food consumption was assessed using a modified dietary behavior questionnaire. Diet quality was assessed using the Alternate Healthy Eating Index 2010 (range = 0 to 110) from two 24-hour recalls. STATISTICAL ANALYSIS: Multilevel linear and logistic regression with multilevel weights were used to estimate associations between Hispanic/Latino immigrant segregation (low, medium, or high) with Alternate Healthy Eating Index 2010 score, and away-from-home food consumption (≥3 vs <3 times/week) in separate models, respectively. The mediating role of neighborhood poverty and whether or not associations differed by nativity were also assessed. RESULTS: Higher levels of segregation were associated with higher adjusted mean Alternate Healthy Eating Index 2010 scores; estimates were further magnified after accounting for neighborhood poverty (low segregation: reference category; medium segregation: ß = 2.43, 95% CI 1.10 to 3.77; and high segregation: ß = 1.63, 95% CI .43 to 2.82). Associations were strongest among the foreign-born compared with the US-born. There was no association between segregation and away-from-home food consumption. CONCLUSIONS: These results highlight the potential role of Hispanic/Latino immigrant neighborhoods in supporting healthy diets among residents, especially immigrants.

Citizenship status and cost-related nonadherence in the United States, 2017-2021.

OBJECTIVE: To assess inequities in prescription medication use and subsequent cost-related nonadherence (CRN) and cost-saving strategies by citizenship status in the United States. DATA SOURCES/STUDY SETTING: National Health Interview Survey (2017-2021). STUDY DESIGN: This cross-sectional study examined noncitizen (n = 8596), naturalized citizen (n = 12,800), and US-born citizen (n = 120,195) adults. We also examined older adults (≥65 years) separately, including noncitizens without Medicare (a group of importance given their immigration-related barriers to health care access). Multiple mediation analysis was used to examine differences in CRN and determine whether economic, health care, and immigration factors explain observed inequities. PRINCIPAL FINDINGS: Noncitizens (41.9%) were less likely to use prescription medications than naturalized (60.5%) and US-born citizens (68.2%). Among prescription medication users, noncitizens (13.8%) were more likely to report CRN than naturalized (9.5%) and US-born citizens (11.0%). CRN differences between noncitizens and naturalized citizens (OR 1.38, 95% CI 1.21-1.44) and between noncitizens and US-born citizens (OR 1.23, 95% CI 1.07-1.35) were explained by insurance status and food insecurity. Only 4.9% of medication users turned to alternative therapies to lower their drug costs, but there were no substantial differences across citizenship status. More medication users requested lower-cost prescriptions (19.0%); however, noncitizens were less likely to make these requests. Older noncitizens without Medicare, of whom 23.9% requested lower-cost drugs, were an exception. Noncitizens (5.8%), particularly older noncitizens without Medicare (21.8%), were more likely to import their drugs than naturalized (3.5%) and US-born citizens (1.2%). CONCLUSIONS: Noncitizens experience a high burden of cost-related barriers to prescription medications. Efforts to reduce these inequities should focus on dismantling health care and food access barriers, regardless of citizenship status.