Racial Disparities in Colorectal Cancer Care for Black Patients: Barriers and Solutions

Impact of Medicaid expansion on racial disparities among patients with gastrointestinal cancer

BACKGROUND

Racial minority groups experience disparities in cancer treatment and mortality. This study aimed to investigate the effect of Medicaid expansion on the existing racial disparities in all-cause mortality among patients with gastrointestinal malignancies.

METHODS

A cross-sectional cohort study of patients with pancreatic ductal adenocarcinoma (PDAC), colorectal cancer (CRC), and gastric adenocarcinoma (GC) of any stage was conducted using data from the National Cancer Database (2009-2019). Using difference-in-difference (DID) analysis, the authors compared adjusted 2-year mortality rates among Black and White patients residing in states with expanded Medicaid benefits (MES) and non-MES before (2009-2013) and after (2014-2019) Medicaid expansion.

RESULTS

A total of 86,052 patients were included in this analysis, including 19,188 patients with PDAC, 60,404 with CRC, and 6460 with GC. Two-year mortality rates decreased among Black patients with PDAC residing in MES but not those residing in non-MES following Medicaid expansion (DID, -9.4%; 95% confidence interval [CI], -14.4% to -4.4%; p < .001). Mortality decreased more among Black and White patients with CRC in MES compared to those in non-MES following Medicaid expansion (DID, -2.9%; 95% CI, -5.7 to -0.04; p = .047 and DID, -4.2%; 95% CI, -5.8 to -2.5; p < .001, respectively). Black patients with GC in MES experienced a marked reduction in mortality compared to those in non-MES (DID, -7.7%, 95% CI, -16.1 to 0.56; p = .07).

CONCLUSION

Medicaid expansion was associated with a greater reduction in 2-year mortality rates among Black patients residing in MES compared to those residing in non-MES. Existing racial disparities in mortality remained the same or worsened in non-MES but were mitigated in MES following Medicaid expansion in almost all comparisons.

Data linkage multiplies research insights across diverse healthcare sectors

In all fields of study, as well as government and commerce, high-quality data enables informed decision-making. Linking data from disparate sources multiplies the opportunities for novel insights and evidence-based decision-making for an increasingly large range of administrative, clinical, research, and population health use cases. In recent years, novel methods, including privacy-preserving record linkage methods, have emerged. However, regardless of the method, successful data linkage is highly dependent on data quality and completeness and has to be balanced by the increased risk of re-identification of the subsequently linked data. Opportunities for the future include sharing tools for responsible linkage across silos, enhancing data to improve quality and completeness, and ensuring linkage leverages inclusive and representative datasets to ensure a balance between individual privacy and representation in research and novel discoveries. Here we provide a brief overview of the history and current state of data linkage, highlight the opportunities created by linked population data across critical research sectors, and describe the technology and policies that govern its usage.

Impact of Social Determinants of Health on Cancer Treatment Referrals in Patients Living with HIV in the United States: A Narrative Review

INTRODUCTION

This narrative review aims to identify and explore the social determinants that prevent people living with HIV (PWH) from accessing specialized cancer centers in the United States and compare to patient experiences in other countries.

METHODS

The review includes randomized controlled trials, cohort studies, case-control studies, qualitative studies, case series, and non-peer reviewed articles. The risk of bias was assessed using standardized tools, and data were synthesized narratively due to the heterogeneity of study designs and outcomes.

RESULTS

Our findings highlight that PWH in the U.S. typically depend on public insurance or programs such as the Ryan White HIV/AIDS Program (RWHP), which offer better cancer care outcomes but are limited by income restrictions. Integrated health systems, such as Veterans Affairs (VA) centers, have successful cancer screening programs but limited accessibility. Limited health literacy among PWH is associated with poor clinical knowledge, misinterpretation of treatment outcomes, and underreporting of medical conditions. Although higher health literacy improves screening rates, its impact on referrals to specialized cancer centers is unclear. Racial and ethnic disparities result in lower screening rates and fewer referrals to specialized care, with Hispanic, Asian, and Black patients facing barriers like distrust in healthcare, cultural factors, and insurance status. HIV stigma further leads to healthcare avoidance and delayed interventions.

CONCLUSION

The review addresses systemic barriers including healthcare access, health literacy, racial, and ethnic disparities, and cultural stigma and highlights solutions to improve cancer treatment referrals among PWH. Recommendations include improving access to integrated health centers and developing culturally competent interventions to enhance referrals to advanced cancer care for PWH.

Association of Social Vulnerability Index With Declining Recommended Surgical Treatment in Head and Neck Cancer Patients

OBJECTIVE

To investigate the impact of county-level social vulnerability on patients' decision to refuse recommended surgical treatment.

METHODS

Retrospective cohort analysis conducted on HNSCC cases documented in the latest available SEER databases from 2000 to 2020; various demographic, including county of residence, and disease-related variables were collected. CDC's Social Vulnerability Index (SVI) was assigned based on patients' county of residence, and patients were subsequently categorized into four SVI quartiles. Pearson chi-square tests and binomial logistic regression was conducted to determine the impact of variables on patients' refusal of surgical treatment.

RESULTS

Among 83,184 patients, 2.6% (2,165) refused surgical intervention recommended by their physician as part of treatment. Social vulnerability (higher SVI), male sex, older age, more advanced disease stage, belonging to non-Hispanic Black or Native Hawaiian/Asian Pacific Islander Race and Origin, and single marital status were associated with higher likelihood of refusing surgery.

CONCLUSION

SVI is a significant factor in the refusal of recommended surgical treatment in HNSCC patients. Advanced disease stages and social vulnerability appear to interplay, influencing treatment decisions. Culturally competent care and support for socially vulnerable patients may mitigate disparities in treatment acceptance, potentially improving survival outcomes.

LEVEL OF EVIDENCE

3 Laryngoscope, 2025.

Racial and Ethnic Disparities in Hepatocellular Carcinoma Treatment Receipt in the United States: A Systematic Review and Meta-Analysis

BACKGROUND

Racial and ethnic disparities in hepatocellular carcinoma (HCC) prognosis exist, partly related to differential failures along the cancer care continuum. We characterized racial and ethnic disparities in treatment receipt among patients with HCC in the United States.

METHODS

We searched Medline, Embase, and CINAHL databases to identify studies published between January 2012 and March 2022 reporting HCC treatment receipt among adult patients with HCC, stratified by race or ethnicity. We calculated pooled odds ratios for HCC treatment using random effects models.

RESULTS

We identified 15 studies with 320,686 patients (65.8% White, 13.9% Black, 10.4% Asian, and 8.5% Hispanic). Overall, 33.2% of HCC patients underwent any treatment, and 22.7% underwent curative treatment. Compared with White patients, Black patients had lower odds of any treatment (OR 0.67, 95% CI 0.55-0.81) and curative treatment (OR 0.74, 95% CI 0.71-0.78). Similarly, Hispanic patients had lower pooled odds of curative treatment (OR 0.79, 95% CI 0.73-0.84).

CONCLUSIONS

There were significant racial and ethnic disparities in HCC treatment receipt, with Black patients having lower odds of receiving any and curative treatment while Hispanic patients having lower odds of curative treatment.

IMPACT

Racial and ethnic differences in treatment receipt serve as an intervention target to reduce disparities in HCC prognosis.

A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus

Background

As socioeconomic inequalities are key factors in access and utilization of type 2 diabetes (T2D) services, the purpose of this scoping review was to identify solutions for decreasing socioeconomic inequalities in T2D.

Methods

A scoping review of scientific articles from 2000 and later was conducted using PubMed, Web of Science (WOS), Scopus, Embase, and ProQuest databases. Using the Arksey and O'Malley framework for scoping review, articles were extracted, meticulously read, and thematically analyzed.

Results

A total of 7204 articles were identified from the reviewed databases. After removing duplicate and nonrelevant articles, 117 articles were finally included and analyzed. A number of solutions and passways were extracted from the final articles. Solutions for decreasing socioeconomic inequalities in T2D were categorized into 12 main solutions and 63 passways.

Conclusions

Applying identified solutions in diabetes policies and interventions would be recommended for decreasing socioeconomic inequalities in T2D. Also, the passways could be addressed as entry points to help better implementation of diabetic policies.

Machine Learning as a Tool for Early Detection: A Focus on Late-Stage Colorectal Cancer across Socioeconomic Spectrums

PURPOSE

To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities.

METHODS

An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities.

RESULTS

Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, year of diagnosis, age, proximity to superfund sites, and primary payer. Spatio-temporal clusters highlighted geographic areas with a statistically significant high probability of late-stage diagnoses, emphasizing the need for targeted healthcare interventions.

CONCLUSIONS

This research underlines the potential of ML in enhancing the prognostic predictions in oncology, particularly in CRC. The gradient boosting model, with its robust performance, holds promise for deployment in healthcare systems to aid early detection and formulate localized cancer prevention strategies. The study's methodology demonstrates a significant step toward utilizing AI in public health to mitigate disparities and improve cancer care outcomes.

Disparities in Late-Stage Breast and Colorectal Cancer Diagnosis Among Hispanic, Non-Hispanic White, and Non-Hispanic Black Patients: a Retrospective Cohort Study of Texas Medicare Beneficiaries

BACKGROUND

Disparities in late-stage breast or colorectal cancer diagnosis in younger populations are associated with social determinants of health (SDOH; education, poverty, housing, employment). We hypothesized that, in older Medicare beneficiaries, disparities in late-stage cancer diagnosis between Hispanic, non-Hispanic Black (NHB), and non-Hispanic White (NHW) patients would be associated with SDOH, comorbidities, and primary care physician (PCP) access.

METHODS

We analyzed 2005-2017 Texas Cancer Registry data linked with Medicare data for patients aged ≥ 66 (n = 86,501). Variables included age at diagnosis, sex, comorbidities, poverty level, education, PCP, and relevant cancer screening within 1 year.

RESULTS

For breast cancer in women (Hispanic, n = 6380; NHW, n = 39,225; NHB, n = 4055), a fully adjusted model showed significantly higher odds of late-stage cancer diagnosis only in NHB patients (odds ratio [OR] 1.11, 95% confidence interval [CI] 1.01-1.22) compared with NHW; adjustment for comorbidities and SDOH partially decreased the odds of late-stage diagnosis relative to NHWs. Interaction terms between race-ethnicity and poverty were not significant. For colorectal cancer, a fully adjusted multivariate model showed significantly higher odds of late-stage diagnosis only among NHBs (n = 3318, OR 1.29, 95% CI 1.19-1.40) relative to NHWs (n = 27,470); adjustment for SDOH partially decreased the odds of late-stage diagnosis in NHB patients. Interaction terms between race-ethnicity and poverty were not significant.

CONCLUSION

Racial disparities in late-stage breast and colorectal cancer diagnoses remain after adjustment for SDOH and clinically relevant factors, underscoring the need to optimize access to screening and timely cancer treatment in racial/ethnic minorities.