Association of Medicaid Expansion With Mortality Disparity by Race and Ethnicity Among Patients With De Novo Stage IV Breast Cancer

Association Between State Medicaid Policies and Accrual of Black or Hispanic Patients to Cancer Clinical Trials

PURPOSE

It is unknown whether Medicaid expansion under the Affordable Care Act (ACA) or state-level policies mandating Medicaid coverage of the routine costs of clinical trial participation have ameliorated longstanding racial and ethnic disparities in cancer clinical trial enrollment.

METHODS

We conducted a retrospective, cross-sectional difference-in-differences analysis examining the effect of Medicaid expansion on rates of enrollment for Black or Hispanic nonelderly adults in nonobservational, US cancer clinical trials using data from Medidata's Rave platform for 2012-2019. We examined heterogeneity in this effect on the basis of whether states had pre-existing mandates requiring Medicaid coverage of the routine costs of clinical trial participation.

RESULTS

The study included 47,870 participants across 1,353 clinical trials and 344 clinical trial sites. In expansion states, the proportion of participants who were Black or Hispanic increased from 16.7% before expansion to 17.2% after Medicaid expansion (0.5 percentage point [PP] change [95% CI, -1.1 to 2.0]). In nonexpansion states, this proportion increased from 19.8% before 2014 (when the first states expanded eligibility under the ACA) to 20.4% after 2014 (0.6 PP change [95% CI, -2.3 to 3.5]). These trends yielded a nonsignificant difference-in-differences estimate of 0.9 PP (95% CI, -2.6 to 4.4). Medicaid expansion was associated with a 5.3 PP (95% CI, 1.9 to 8.7) increase in the enrollment of Black or Hispanic participants in states with mandates requiring Medicaid coverage of the routine costs of trial participation, but not in states without mandates (-0.3 PP [95% CI, -4.5 to 3.9]).

CONCLUSION

Medicaid expansion was not associated with a significant increase in the proportion of Black or Hispanic oncology trial participants overall, but was associated with an increase specifically in states that mandated Medicaid coverage of the routine costs of trial participation.

Association of Medicaid Expansion with Reduction in Racial Disparities in the Timely Delivery of Upfront Surgical Care for Patients With Early-Stage Breast Cancer

OBJECTIVE

We evaluated the association between Medicaid expansion and time to surgery among patients with early-stage breast cancer (BC).

BACKGROUND

Delays in surgery are associated with adverse outcomes. It is known that underrepresented minorities are more likely to experience treatment delays. Understanding the impact of Medicaid expansion on reducing racial and ethnic disparities in health care delivery is critical.

METHODS

This was a population-based study including women ages 40 to 64 with stage I-II BC who underwent upfront surgery identified in the National Cancer Database (2010-2017) residing in states that expanded Medicaid on January 1, 2014. Difference-in-difference analysis compared rates of delayed surgery (>90 d from pathological diagnosis) according to time period (preexpansion [2010-2013] and postexpansion [2014-2017]) and race/ethnicity (White vs. racial and ethnic minority), stratified by insurance type (private vs. Medicaid/uninsured). Secondary analyses included logistic and Cox proportional hazards (PH) regression. All analyses were conducted among a cohort of patients in the nonexpansion states as a falsification analysis. Finally, a triple-differences approach compared preexpansion with the postexpansion trend between expansion and nonexpansion states.

RESULTS

Among Medicaid expansion states, 104,569 patients were included (50,048 preexpansion and 54,521 postexpansion). In the Medicaid/uninsured subgroup, Medicaid expansion was associated with a -1.8% point (95% CI: -3.5% to -0.1, P =0.04) reduction of racial disparity in delayed surgery. Cox regression models demonstrated similar findings (adjusted difference-in-difference hazard ratio 1.12 [95% CI: 1.05 to 1.21]). The falsification analysis showed a significant racial disparity reduction among expansion states but not among nonexpansion states, resulting in a triple-difference estimate of -2.5% points (95% CI: -4.9% to -0.1%, P =0.04) in this subgroup.

CONCLUSIONS

As continued efforts are being made to increase access to health care, our study demonstrates a positive association between Medicaid expansion and a reduction in the delivery of upfront surgical care, reducing racial disparities among patients with early-stage BC.

A health equity framework to support the next generation of cancer population simulation models

Over the past 2 decades, population simulation modeling has evolved as an effective public health tool for surveillance of cancer trends and estimation of the impact of screening and treatment strategies on incidence and mortality, including documentation of persistent cancer inequities. The goal of this research was to provide a framework to support the next generation of cancer population simulation models to identify leverage points in the cancer control continuum to accelerate achievement of equity in cancer care for minoritized populations. In our framework, systemic racism is conceptualized as the root cause of inequity and an upstream influence acting on subsequent downstream events, which ultimately exert physiological effects on cancer incidence and mortality and competing comorbidities. To date, most simulation models investigating racial inequity have used individual-level race variables. Individual-level race is a proxy for exposure to systemic racism, not a biological construct. However, single-level race variables are suboptimal proxies for the multilevel systems, policies, and practices that perpetuate inequity. We recommend that future models designed to capture relationships between systemic racism and cancer outcomes replace or extend single-level race variables with multilevel measures that capture structural, interpersonal, and internalized racism. Models should investigate actionable levers, such as changes in health care, education, and economic structures and policies to increase equity and reductions in health-care-based interpersonal racism. This integrated approach could support novel research approaches, make explicit the effects of different structures and policies, highlight data gaps in interactions between model components mirroring how factors act in the real world, inform how we collect data to model cancer equity, and generate results that could inform policy.

The Impact of Medicaid Expansion on Patients with Cancer in the United States: A Review

Since 2014, American states have had the option to expand their Medicaid programs as part of the Affordable Care Act (ACA), which was signed into law by former President Barack H. Obama in 2010. Emerging research has found that Medicaid expansion has had a significant impact on patients with cancer, who often face significant financial barriers to receiving the care they need. In this review, we aim to provide a comprehensive examination of the research conducted thus far on the impact of Medicaid expansion on patients with cancer. We begin with a discussion of the history of Medicaid expansion and the key features of the ACA that facilitated it. We then review the literature, analyzing studies that have investigated the impact of Medicaid expansion on cancer patients in terms of access to care, quality of care, and health outcomes. Our findings suggest that Medicaid expansion has had a positive impact on patients with cancer in a number of ways. Patients in expansion states are more likely to receive timely cancer screening and diagnoses, and are more likely to receive appropriate cancer-directed treatment. Additionally, Medicaid expansion has been associated with improvements in cancer-related health outcomes, including improved survival rates. However, limitations and gaps in the current research on the impact of Medicaid expansion on patients with cancer exist, including a lack of long-term data on health outcomes. Additionally, further research is needed to better understand the mechanisms through which Medicaid expansion impacts cancer care.

Medicaid expansion, chemotherapy delays, and racial disparities among women with early-stage breast cancer

BACKGROUND

Medicaid expansion under the Affordable Care Act extends eligibility for participating states and has been associated with improved outcomes by facilitating access to care. Delayed initiation of adjuvant chemotherapy is associated with worse outcomes among patients with early-stage breast cancer (BC). The impact of Medicaid expansion in narrowing delays by race and ethnicity has not been studied, to our knowledge.

METHODS

This was a population-based study using the National Cancer Database. Patients diagnosed with primary early-stage BC between 2007 and 2017 residing in states that underwent Medicaid expansion in January 2014 were included. Time to chemotherapy initiation and proportion of patients experiencing chemotherapy delays (>60 days) were evaluated using difference-in-difference and Cox proportional hazards models in preexpansion and postexpansion periods according to race and ethnicity.

RESULTS

A total 100 643 patients were included (63 313 preexpansion and 37 330 postexpansion). After Medicaid expansion, the proportion of patients experiencing chemotherapy initiation delay decreased from 23.4% to 19.4%. The absolute decrease was 3.2, 5.3, 6.4, and 4.8 percentage points (ppt) for Black, Hispanic, White, and Other patients. Compared with White patients, statistically significant adjusted difference-in-differences were observed for Black (-2.1 ppt, 95% confidence interval [CI] = -3.7% to -0.5%) and Hispanic patients (-3.2 ppt, 95% CI = -5.6% to -0.9%). Statistically significant reductions in time to chemotherapy between expansion periods were observed among White patients (adjusted hazard ratio = .11, 95% CI = 1.09 to 1.12) and those belonging to racialized groups (adjusted hazard ratio  = 1.14, 95% CI = 1.11 to 1.17).

CONCLUSIONS

Among patients with early-stage BC, Medicaid expansion was associated with a reduction in racial disparities by decreasing the gap in the proportion of Black and Hispanic patients experiencing delays in adjuvant chemotherapy initiation.

Demographic and Clinical Features of Patients with Metastatic Breast Cancer: A Retrospective Multicenter Registry Study of the Turkish Oncology Group

This multicenter registry study aims to analyze time-related changes in the treatment patterns and outcome of patients with metastatic breast cancer (MBC) over a ten-year period. Correlations between demographic, prognostic variables and survival outcomes were carried out in database aggregates consisting of cohorts based on disease presentation (recurrent vs. de novo) and the diagnosis date of MBC (Cohort I: patient diagnosed between January 2010 and December 2014; and Cohort II: between January 2015 and December 2019). Out of 1382 patients analyzed, 52.3% patients had recurrent disease, with an increased frequency over time (47.9% in Cohort I vs. 56.1% in Cohort II, p < 0.001). In recurrent patients, 38.4% (n = 277) relapsed within two years from initial diagnosis, among which triple-negative BC (TNBC) was the most frequent (51.7%). Median overall survival (OS) was 51.0 (48.0–55.0) months for all patients, which was similar across both cohorts. HER2+ subtype had the highest OS among subgroups (HER2+ vs. HR+ vs. TNBC; 57 vs. 52 vs. 27 months, p < 0.001), and the dnMBC group showed a better outcome than recMBC (53 vs. 47 months, p = 0.013). Despite the lack of CDK inhibitors, luminal A patients receiving endocrine therapy had a favorable outcome (70 months), constituting an appealing approach with limited resources. The only survival improvement during the timeframe was observed in HER2+ dnMBC patients (3-year OS Cohort I: 62% vs. Cohort II: 84.7%, p = 0.009). The incorporation of targeted agents within standard treatment has improved the outcome in HER2+ MBC patients over time. Nevertheless, despite advances in early diagnosis and treatment, the prognosis of patients with TNBC remains poor, highlighting the need for more effective treatment options.

Breast Cancer Statistics, 2022

This article is the American Cancer Society's update on female breast cancer statistics in the United States, including population-based data on incidence, mortality, survival, and mammography screening. Breast cancer incidence rates have risen in most of the past four decades; during the most recent data years (2010-2019), the rate increased by 0.5% annually, largely driven by localized-stage and hormone receptor-positive disease. In contrast, breast cancer mortality rates have declined steadily since their peak in 1989, albeit at a slower pace in recent years (1.3% annually from 2011 to 2020) than in the previous decade (1.9% annually from 2002 to 2011). In total, the death rate dropped by 43% during 1989-2020, translating to 460,000 fewer breast cancer deaths during that time. The death rate declined similarly for women of all racial/ethnic groups except American Indians/Alaska Natives, among whom the rates were stable. However, despite a lower incidence rate in Black versus White women (127.8 vs. 133.7 per 100,000), the racial disparity in breast cancer mortality remained unwavering, with the death rate 40% higher in Black women overall (27.6 vs. 19.7 deaths per 100,000 in 2016-2020) and two-fold higher among adult women younger than 50 years (12.1 vs. 6.5 deaths per 100,000). Black women have the lowest 5-year relative survival of any racial/ethnic group for every molecular subtype and stage of disease (except stage I), with the largest Black-White gaps in absolute terms for hormone receptor-positive/human epidermal growth factor receptor 2-negative disease (88% vs. 96%), hormone receptor-negative/human epidermal growth factor receptor 2-positive disease (78% vs. 86%), and stage III disease (64% vs. 77%). Progress against breast cancer mortality could be accelerated by mitigating racial disparities through increased access to high-quality screening and treatment via nationwide Medicaid expansion and partnerships between community stakeholders, advocacy organizations, and health systems.

Socioeconomic deprivation and survival outcomes in primary central nervous system lymphomas

Objective

To our knowledge, the impact of area-level socioeconomic status (SES) has not yet been described in primary central nervous system lymphomas (PCNSLs). Current study sought to explore the association of socioeconomic deprivation, measured using the Area Deprivation Index (ADI), with PCNSL outcomes.

Methods

The Surveillance, Epidemiology, and End Results (SEER) database was used to identify PCNSL patients diagnosed between 2006 and 2015 for our analyses. The impact of ADI on overall survival (OS) and cancer-specific survival (CSS) were investigated. Survival analyses were conducted using Kaplan-Meier method with log-rank tests. The Inverse Probability Weighting (IPW) analysis and multivariate cox proportional hazards regression analysis were employed to make covariate adjustments. Multiple mediation analysis (MMA) was performed to estimate the mediating effects.

Results

A total of 3159 PCNSL patients classified into low and high ADI subgroups according to the median ADI score were studied. The Kaplan-Meier analyses showed that low ADI was significantly associated with higher OS rates (HR 1.15, 95%CI 1.06-1.26, P<0.01) and CSS rates (HR 1.15, 95%CI 1.05-1.27, P<0.01). Similar results were observed in analyses adjusted via IPW and multivariate cox methods. Subgroup analyses revealed that ADI could remain a prognostic indictor among different subsets. MMA revealed that several factors including chemotherapy and HIV status making up about 40% of the overall effect, mediated PCNSL survival disparities related to the ADI. Finally, multivariable logistic regression analysis showed that ADI as well as several other factors were independently related to receipt of chemotherapy.

Conclusions

Our study highlights the role of area-level SES in prognosis of PCNSLs. And several factors including chemotherapy and HIV status of PCNSL patents contributed to the CSS disparities between ADI subgroups were uncovered by MMA. Such relationships would highlight the importance of policies development to enhance healthcare delivery and promote awareness of HIV prevention and treatment in low-resource neighborhoods.