Association of race and health insurance in treatment disparities of colon cancer: A retrospective analysis utilizing a national population database in the United States

Adjuvant chemotherapy in stage 1 colon cancer: Patient characteristics and survival analysis from the national cancer database

BACKGROUND

A subset of patients in ACS-NCDB with stage-1 colon cancer received adjuvant chemotherapy (AC), in contrast to national guidelines. This study aimed to define this population and evaluate associations between AC and survival.

METHODS

Patients with T1-2N0 colon cancer from 2004 to 2016 were separated into AC and non-AC groups. Adverse pathological features (APF) included T2, poor differentiation, lymphovascular invasion, positive margin, and inadequate lymph nodes (<12). Cox proportional hazard models were used to estimate prognostic factors for overall survival (OS).

RESULTS

A total of 1745 of 139,857 patients (1.2 %) received AC. Receiving AC was associated with male sex (p = 0.02), uninsured (p < 0.01), low income (p = 0.02), or having ≥2 APFs (p < 0.001). In the total cohort, AC was associated with increased mortality (HR 1.14 [1.04-1.24] P < 0.01). On subset analysis, AC was associated with improved OS for patients with ≥2 APFs (log-rank P=<0.001), and decreased mortality when adjusted for covariates (HR 0.81 [0.69-0.95] P=<0.01). The most significant predictor of mortality was old age (HR 3.78 [3.67, 3.89] p ≤ 0.01), followed by higher Charlson Comorbidity Index (HR 1.73 [1.69, 1.76] (p ≤ 0.01), and higher APF score (HR 1.46 [1.42, 15.2] p ≤ 0.01).

CONCLUSION

AC was associated with decreased survival in the total cohort of stage 1 colon cancer patients, but was associated with improved survival for patients with multiple APFs.

Racial Disparities in Receipt of Guideline-Concordant Care for Early-Onset Colorectal Cancer in the United States

PURPOSE

Young individuals racialized as Black are more likely to die after a colorectal cancer (CRC) diagnosis than individuals racialized as White in the United States. This study examined racial disparities in receipt of timely and guideline-concordant care among individuals racialized as Black and White with early-onset CRC.

METHODS

Individuals age 18-49 years racialized as non-Hispanic Black and White (self-identified) and newly diagnosed with CRC during 2004-2019 were selected from the National Cancer Database. Patients who received recommended care (staging, surgery, lymph node evaluation, chemotherapy, and radiotherapy) were considered to have received guideline-concordant care. Odds ratios (ORs) were adjusted for age and sex. The decomposition method was used to estimate the relative contribution of demographic characteristics (age and sex), comorbidities, health insurance, and facility type to the racial disparity in receipt of guideline-concordant care. The product-limit method was used to evaluate differences in time to treatment between patients racialized as Black and White.

RESULTS

Of the 84,882 patients with colon cancer and 62,573 patients with rectal cancer, 20.8% and 14.5% were racialized as Black, respectively. Individuals racialized as Black were more likely to not receive guideline-concordant care for colon (adjusted OR [aOR], 1.18 [95% CI, 1.14 to 1.22]) and rectal (aOR, 1.27 [95% CI, 1.21 to 1.33]) cancers. Health insurance explained 28.2% and 21.6% of the disparity among patients with colon and rectal cancer, respectively. Individuals racialized as Black had increased time to adjuvant chemotherapy for colon cancer (hazard ratio [HR], 1.28 [95% CI, 1.24 to 1.32]) and neoadjuvant chemoradiation for rectal cancer (HR, 1.42 [95% CI, 1.37 to 1.47]) compared with individuals racialized as White.

CONCLUSION

Patients with early-onset CRC racialized as Black receive worse and less timely care than individuals racialized as White. Health insurance, a modifiable factor, was the largest contributor to racial disparities in receipt of guideline-concordant care in this study.

Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database

Background and Objectives: Cancer, as the second leading cause of death in the United States, poses a huge healthcare burden. Barriers to access to advanced therapies influence the outcome of cancer treatment. In this study, we examined whether insurance types affect the quality of cancer clinical care. Materials and Methods: Data for 13,340 cancer patients with Purchased or Medicaid insurance from the All of Us database were collected for this study. The chi-squared test of proportions was employed to determine the significance of patient cohort characteristics and the accessibility of healthcare services between the Purchased and Medicaid insurance groups. Results: Cancer patients who are African American, with lower socioeconomic status, or with lower educational attainment are more likely to be insured by Medicaid. An analysis of the survey questions demonstrated the relationship between income and education level and insurance type, as Medicaid cancer patients were less likely to receive primary care and specialist physician access and more likely to request lower-cost medications. Conclusions: The inequities of the US healthcare system are observed for cancer patient care; access to physicians and medications is highly varied and dependent on insurance types. Socioeconomic factors further influence insurance types, generating a significant impact on the overall clinical care quality for cancer patients that eventually determines treatment outcomes and the quality of life.

American Cancer Society's report on the status of cancer disparities in the United States, 2023

In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6-2.8 times higher in individuals with ≤12 years of education than in those with ≥16 years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black-White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black-White disparities in overall cancer mortality were among those who had ≥16 years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65 years than among those aged 65 years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence-based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.

Association Between Racial and Socioeconomic Disparities and Hospital Performance in Treatment and Outcomes for Patients with Colon Cancer

BACKGROUND

Disparities in colon cancer care and outcomes by race/ethnicity, socioeconomic status (SES), and insurance are well recognized; however, the extent to which inequalities are driven by patient factors versus variation in hospital performance remains unclear. We sought to compare disparities in care delivery and outcomes at low- and high-performing hospitals.

METHODS

We identified patients with stage I-III colon adenocarcinoma from the 2012-2017 National Cancer Database. Adequate lymphadenectomy and timely adjuvant chemotherapy administration defined hospital performance. Multilevel regression models evaluated disparities by race/ethnicity, SES, and insurance at the lowest- and highest-performance quartile hospitals.

RESULTS

Of 92,573 patients from 704 hospitals, 45,982 (49.7%) were treated at 404 low-performing hospitals and 46,591 (50.3%) were treated at 300 high-performing hospitals. Low-performing hospitals treated more non-Hispanic (NH) Black, Hispanic, low SES, and Medicaid patients (all p < 0.01). Among low-performing hospitals, patients with low versus high SES (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.82-0.92), and Medicare (OR 0.90, 95% CI 0.85-0.96) and Medicaid (OR 0.88, 95% CI 0.80-0.96) versus private insurance, had decreased odds of receiving high-quality care. At high-performing hospitals, NH Black versus NH White patients (OR 0.83, 95% CI 0.72-0.95) had decreased odds of receiving high-quality care. Low SES, Medicare, Medicaid, and uninsured patients had worse overall survival at low- and high-performing hospitals (all p < 0.01).

CONCLUSION

Disparities in receipt of high-quality colon cancer care occurred by SES and insurance at low-performing hospitals, and by race at high-performing hospitals. However, survival disparities by SES and insurance exist irrespective of hospital performance. Future steps include improving low-performing hospitals and identifying mechanisms affecting survival disparities.

A national evaluation of adjuvant chemotherapy in pT4N0M0 colon cancer from the National Cancer Database

BACKGROUND

T stage is a prognostic biomarker for overall survival in colon cancer and pathologic T4 disease is a high-risk characteristic. Adjuvant chemotherapy is recommended to improve overall survival in pT4N0M0, but compliance with guidelines is unknown. We aimed to evaluate adjuvant chemotherapy use and impact on overall survival in pT4N0M0 colon cancer.

METHODS

The National Cancer Database was reviewed for pT4N0M0 colon adenocarcinomas undergoing curative surgical resection (2010-2017). Cases were stratified into no adjuvant chemotherapy and adjuvant chemotherapy cohorts. Moderated multiple regression assessed factors associated with no AC. Kaplan-Meier and Cox regression assessed overall survival in propensity-score matched cohorts. The main outcome measures were adjuvant chemotherapy use, factors associated with adjuvant chemotherapy, and impact on overall survival.

RESULTS

Of 11 847 cases, 62.4% (n = 7391) received no adjuvant chemotherapy. With private insurance, comorbidities or income do not affect adjuvant chemotherapy use. Medicare cases with a Charlson-Deyo comorbidity index of 0 (odds ratio [OR] = 0.861, 95% confidence interval [CI] = 0.760 to 0.975; P = .019) and Medicare payors with high income (OR = 0.813, 95% CI = 0.690 to 0.959; P = .014) were associated with adjuvant chemotherapy. Medicaid Charlson-Deyo comorbidity index 0 (OR = 1.374, 95% CI = 1.125 to 1.679; P = .002) and uninsured Charlson-Deyo comorbidity index 0 (OR = 1.351, 95% CI = 1.120 to 1.629; P = .002) were associated with no adjuvant chemotherapy. Adjuvant chemotherapy was associated with improved 5-year overall survival (71.7% vs 56.4%; P < .001; adjusted hazard ratio = 0.543, 95% CI = 0.499 to 0.590; P < .001).

CONCLUSION

Although adjuvant chemotherapy is associated with improved overall survival, compliance is low. There is a complex relationship between payor, income, comorbidity, and adjuvant chemotherapy receipt. Medicare patients with no comorbidities or higher income have better adjuvant chemotherapy use. With private insurance, adjuvant chemotherapy compliance is not affected by comorbidities or income, whereas Medicaid and uninsured patients with no comorbidities have poor compliance. Future work could target these disparities for equitable care.

Racial disparities in cancer care, an eyeopener for developing better global cancer management strategies

BACKGROUND

In the last few decades, advancements in cancer research, both in the field of cancer diagnostics as well as treatment of the disease have been extensive and multidimensional. Increased availability of health care resources and growing awareness has resulted in the reduction of consumption of carcinogens such as tobacco; adopting various prophylactic measures; cancer testing on regular basis and improved targeted therapies have greatly reduced cancer mortality among populations, globally. However, this notable reduction in cancer mortality is discriminate and reflective of disparities between various ethnic populations and economic classes. Several factors contribute to this systemic inequity, at the level of diagnosis, cancer prognosis, therapeutics, and even point-of-care facilities.

RECENT FINDINGS

In this review, we have highlighted cancer health disparities among different populations around the globe. It encompasses social determinants such as status in society, poverty, education, diagnostic approaches including biomarkers and molecular testing, treatment as well as palliative care. Cancer treatment is an active area of constant progress and newer targeted treatments like immunotherapy, personalized treatment, and combinatorial therapies are emerging but these also show biases in their implementation in various sections of society. The involvement of populations in clinical trials and trial management is also a hotbed for racial discrimination. The immense progress in cancer management and its worldwide application needs a careful evaluation by identifying the biases in racial discrimination in healthcare facilities.

CONCLUSION

Our review gives a comprehensive evaluation of this global racial discrimination in cancer care and would be helpful in designing better strategies for cancer management and decreasing mortality.

Prognostic modeling of overall survival and analysis of K-M survival curves in patients with primary colon cancer: A SEER-based study

This study aimed to establish a validated prognostic survival column line chart by analyzing data from patients with colon cancer (CC) in the SEER database. The nomogram proposed in this study was based on the retrospective data of patients diagnosed with CC in the SEER database from 1975 to 2015. Randomly divided into training and validation sets, the nomogram was constructed using the Cox model, and the discriminatory power of the nomogram and its predictive accuracy were determined using the consistency index and associated calibration curves. In a multifactorial analysis of the main cohort, the independent factors for survival were age, sex, race, tumor stage, and tumor grade, all of which were included in the nomogram and were prognostic factors for patients with CC (P < .05). The calibration curve of the survival probability showed good agreement between the prediction of the nomogram and the actual observation. The validation calibration curve showed good correlation and agreement between predicted and observed values. Multifactorial analysis showed that the factors affecting the prognosis of patients with CC included age, sex, race, tumor-node-metastasis stage, and tumor pathological stage. The nomogram prediction model proposed in this study has high accuracy and can provide more accurate prognostic prediction and relevant reference values for assessing the postoperative survival of CC patients and guiding clinical decision-making.

Association of Rural Residence and Receipt of Guideline-Concordant Care for Locoregional Colon Cancer

BACKGROUND

Incidence and mortality rates of colon cancer (CC) are higher in rural populations. This study aimed to determine whether rural residence is associated with differences in guideline-concordant care for patients with locoregional CC.

METHODS

Patients with stages I-III CC from 2006 to 2016 were identified in the National Cancer Database. Guideline-concordant care (GCC) was defined as resection with negative margins, adequate nodal harvest, and receipt of adjuvant chemotherapy for patients with high-risk stage II or III disease. Multivariable logistic regression (MVR) was performed to evaluate the association between rural residence and the odds of receiving GCC. Effect modification was evaluated using a two-way interaction for rurality by insurance status.

RESULTS

Of 320,719 identified patients, 6191 (2%) were rural. The rural patients had lower income and lower educational status than the urban patients and were more often Medicare-insured (p < 0.001). The rural patients traveled farther (44.5 vs. 7.5 miles; p < 0.001), although time to surgery was similar (8 vs. 9 days). The two cohorts had similar resection rates (98.8% vs. 98.0%), margin positivity (5.4% vs. 4.8%), adequate lymphadenectomy (80.9% vs. 83.0%), adjuvant chemotherapy (stage III: 69.2% vs. 68.7%), and receipt of GCC (66.5% vs. 68.3%). In the MVR, the odds of receiving GCC did not differ between the rural and urban patients (odds ratio, 0.99; 95% confidence interval, 0.94-1.05%). Insurance status did not differentially influence the receipt of GCC by the rural versus the urban patients (interaction: p = 0.83).

CONCLUSIONS

Rural and urban patients with locoregional CC are equally likely to receive GCC, suggesting that differences in cancer care delivery may not explain rural-urban disparities.

Racial and ethnic disparities in the timing of orchiopexy for cryptorchidism

INTRODUCTION

Many children do not undergo surgery for cryptorchidism in a timely fashion, increasing risk of infertility and malignancy. Racial and ethnic disparities in surgery timing has been suggested in other specialties, but has not been well-explored in Pediatric Urology.

OBJECTIVES

Our aim was to investigate the association of race and ethnicity with age at orchiopexy.

MATERIALS AND METHODS

We performed a retrospective cohort study of individuals <18 years of age as captured in the NSQIPP PUF from 2012 to 2016. Those with cancer were excluded. The primary outcome of interest was age at time of surgery. Secondary outcome was the proportion of individuals undergoing surgery by recommended age. Generalized linear models and logistic regression models were created for the outcomes of interest.

RESULTS

The median age at orchiopexy was 17.4 months (10.7, 43.0) and overall, 51% of subjects underwent orchiopexy by 18 months of age. Non-Hispanic white individuals were most likely to have undergone orchiopexy by 18 months of age, at 56%, compared with only 44% of non-Hispanic black individuals (p < 0.001). When adjusting for co-morbidities and developmental delay, Hispanic patients underwent orchiopexy 5 months later than white patients, on average, and black patients had a delay of 7 months compared to white patients.

DISCUSSION

These data suggest that orchiopexy is happening at younger ages compared to prior large-scale studies. However, minority patients are on average older at time of orchiopexy, potentially increasing future risk of infertility or malignancy. While an estimated average delay of 5-7 months may not seem high, studies suggest there is an appreciable change in risk with a 6-month delay. Patient, provider, and system-level factors likely all contribute, and these need to be further elucidated.

CONCLUSIONS

Many racial and ethnic minorities with cryptorchidism have later orchiopexies, and are more likely to have surgery outside the recommended timeframe. Further investigation is warranted to determine the factors contributing to these disparities.

Cancer treatment and survivorship statistics, 2022

The number of cancer survivors continues to increase in the United States due to the growth and aging of the population as well as advances in early detection and treatment. To assist the public health community in better serving these individuals, the American Cancer Society and the National Cancer Institute collaborate triennially to estimate cancer prevalence in the United States using incidence and survival data from the Surveillance, Epidemiology, and End Results cancer registries, vital statistics from the Centers for Disease Control and Prevention's National Center for Health Statistics, and population projections from the US Census Bureau. Current treatment patterns based on information in the National Cancer Database are presented for the most prevalent cancer types by race, and cancer-related and treatment-related side-effects are also briefly described. More than 18 million Americans (8.3 million males and 9.7 million females) with a history of cancer were alive on January 1, 2022. The 3 most prevalent cancers are prostate (3,523,230), melanoma of the skin (760,640), and colon and rectum (726,450) among males and breast (4,055,770), uterine corpus (891,560), and thyroid (823,800) among females. More than one-half (53%) of survivors were diagnosed within the past 10 years, and two-thirds (67%) were aged 65 years or older. One of the largest racial disparities in treatment is for rectal cancer, for which 41% of Black patients with stage I disease receive proctectomy or proctocolectomy compared to 66% of White patients. Surgical receipt is also substantially lower among Black patients with non-small cell lung cancer, 49% for stages I-II and 16% for stage III versus 55% and 22% for White patients, respectively. These treatment disparities are exacerbated by the fact that Black patients continue to be less likely to be diagnosed with stage I disease than White patients for most cancers, with some of the largest disparities for female breast (53% vs 68%) and endometrial (59% vs 73%). Although there are a growing number of tools that can assist patients, caregivers, and clinicians in navigating the various phases of cancer survivorship, further evidence-based strategies and equitable access to available resources are needed to mitigate disparities for communities of color and optimize care for people with a history of cancer. CA Cancer J Clin. 2022;72:409-436.

Association of Medicaid Expansion with Racial Disparities in Cancer Stage at Presentation

BACKGROUND

This study evaluates the independent association of Medicaid expansion on stage of presentation among patients of Black and White race with colorectal (CRC), breast, or non-small cell lung cancer (NSCLC).

METHODS

A cohort study of patients with CRC, breast cancer, or NSCLC (2009-2017) in the National Cancer Database was performed. Difference-in-differences (DID) analysis was used to compare changes in tumor stage at diagnosis between Medicaid expansion (MES) and non-expansion states (non-MES) before and after expansion. Predictive margins were calculated by race, year, and insurance status to account for effect heterogeneity. Stage migration was determined by measuring the combined proportional increase in stage I and decrease in stage IV disease at diagnosis.

RESULTS

Black patients gained less Medicaid coverage than White patients (6.0% vs 13.1%, p < 0.001) after expansion. Among Black and White patients, there was a shift towards increased early-stage diagnosis (DID 3.5% and 3.5%, respectively; p < 0.001) and decreased late-stage diagnosis (DID White: -3.5%; Black -2.5%; p < 0.001) in MES compared to non-MES following expansion. Overall stage migration was greater for White compared to Black patients with CRC (10.3% vs. 5.1%) and NSCLC (8.1% vs. 6.7%) after expansion. Stage migration effects in patients with breast cancer were similar by race (White 4.8% vs. Black 4.5%).

CONCLUSION

An increased proportion of Black and White patients residing in Medicaid expansion states presented with earlier stage cancer following Medicaid expansion. However, because the proportion of Black patients is higher in non-expansion states, national racial disparities in cancer stage at presentation appear worse following Medicaid expansion.

Correction: Association of race and health insurance in treatment disparities of colon cancer: A retrospective analysis utilizing a national population database in the United States

[This corrects the article DOI: 10.1371/journal.pmed.1003842.].

Racial disparities in treatments and mortality among a large population-based cohort of older men and women with colorectal cancer

Background:

There were racial disparities in treatment and mortality among patients with colorectal cancer, but few studies incorporated information on hypertension and diabetes and their treatment status.

Patients and methods:

The study identified 101,250 patients from Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database in the United States who were diagnosed with colorectal cancer at age ≥65 years between 2007 and 2015 with follow-up to December 2016.

Results:

There were substantial racial and ethnic disparities in the prevalence of hypertension and diabetes in patients with colorectal cancer, in receiving chemotherapy and radiation therapy, and in receiving antihypertensive and antidiabetic treatment. Racial disparities in receiving these therapies remained significant in this large cohort of Medicare beneficiaries after stratifications by private health insurance status at the time of cancer diagnosis and by tumor stage. Non-Hispanic black patients had a significantly higher risk of all-cause mortality (hazard ratio: 1.07, 95% CI: 1.04–1.10), which remained significantly higher (1.05, 1.02–1.08) after adjusting for patient sociodemographics, tumor factors, comorbidity and treatments as compared to non-Hispanic white patients. The adjusted risk of colorectal cancer-specific mortality was also significantly higher (1.08, 1.04–1.12) between black and white patients.

Conclusions:

There were substantial racial disparities in prevalence of hypertension and diabetes in men and women diagnosed with colorectal cancer and in receipt of chemotherapy, radiation therapy, antihypertensive and antidiabetic treatment. Black patients with colorectal cancer had a significantly higher risk of all-cause mortality and colorectal cancer-specific mortality than whites, even after adjusting for sociodemographic characteristics, tumor factors, comorbidity scores, and treatments.