WHITE PAPER

CAR-T Cell Therapy Access Disparities in Lymphoma Patients

A breakthrough in cancer treatment

Investigating CAR-T cell therapy access disparities

The impact of age and sex

risk score icon

For each year’s increase in age, patients were about 4% less likely to receive CAR T-cell therapy


man icon

Men were about 29% more likely than women to receive CAR T-cell therapy, even after accounting for other factors

One of the key findings was that a patient’s age influenced their likelihood of receiving CAR T-cell therapy. For each year’s increase in age, patients were about 4% less likely to receive CAR T-cell therapy. The median age of patients who received CAR T-cell therapy was 70, compared to 74 for those who did not.

This age disparity could reflect concerns held by providers and patients themselves about the ability of older patients to tolerate the potential side effects of CAR T-cell therapy. However, the researchers note that recent studies have shown CAR T-cell therapy can be safe and effective even in older adults. As such, more education may be needed to combat potential biases against offering this treatment to older patients.

Interestingly, men were about 29% more likely than women to receive CAR T-cell therapy, even after accounting for other factors. The reasons for this large gender disparity are not clear and warrant further investigation.

Racial and ethnic disparities

Black patients were less than half as likely as White patients to receive CAR T-cell therapy

Perhaps the most striking disparities uncovered relate to race and ethnicity. Even after controlling for factors like income, location, and burden of illness, Black patients were less than half as likely as White patients to receive CAR T-cell therapy. There was also a trend toward Hispanic patients being less likely to receive the treatment, though this did not quite reach statistical significance.

These racial and ethnic disparities persisted even when comparing patients of similar socioeconomic status. The researchers point to deeper issues of structural racism and discrimination in healthcare that go beyond just income differences. This emphasizes the need for targeted interventions to promote health equity and ensure all eligible patients have equal access to advanced therapies like CAR T-cell treatment.

The role of income and insurance

billing icon

Patients in the lowest income group were more than 50% less likely to receive the treatment than those in the highest income bracket

As might be expected, a patient’s income level was strongly associated with their likelihood of receiving CAR T-cell therapy. Patients in the lowest income group were more than 50% less likely to receive the treatment than those in the highest income bracket. This highlights how the high costs associated with CAR T-cell therapy – both direct medical costs and indirect expenses like travel, accommodation, and lost wages – may create barriers for lower-income patients.

The type of health insurance a patient had also appeared to play a role, though this was difficult to fully untangle as it was not a primary focus of the analysis. In unadjusted comparisons, patients with commercial insurance were 1.5 to 3 times more likely to receive CAR T-cell therapy than those with government insurance like Medicare or Medicaid. In other words, insurance coverage and required authorizations, co-pays, and reimbursement policies may influence access to this treatment.

The effect of geographic barriers

Strategies to improve access

Healthcare systems need to examine and address potential biases and institutionalized discrimination (which may not be explicitly apparent) that may be contributing to racial and ethnic disparities in access to advanced therapies

A call for health equity

Let’s work together to improve patient outcomes and advance health equity.

Discover SDOH Market Insights

Authors

Christie Teigland, Ph.D.

Christie Teigland leads the design and implementation of studies focused on quality measurement, health equity, and health economics and outcomes research. She works closely with health plans, providers, and life science organizations to develop actionable, real-world data insights.

Teigland co-chaired the National Quality Forum (NQF) Scientific Methods Panel for four years and served on the Pharmacy Quality Alliance (PQA) Quality Measure Expert Panel and as co-chair of PQA’s Health Equity Technical Expert Panel, as well as on many Centers for Medicare & Medicaid Services (CMS) expert panels. She has served as principal investigator on large foundation and government-funded projects over two decades focused on improving healthcare quality.

Teigland earned her Ph.D. in Economics and Econometric Forecasting from the University of New York at Albany.

Karl Kilgore, Ph.D.

Karl Kilgore has over 30 years of experience designing and developing health economics and outcomes studies, descriptive and analytic epidemiology studies, outcomes-based marketing programs, and disease registries.

Kilgore’s professional interests include social drivers of health, how social, behavioral and genetic factors interact to impact the health of individuals and populations, risk adjustment methodologies for health performance measurement and reimbursement, and realworld outcomes of novel therapies, particularly in oncology.

He received his Ph.D. in Psychology from the University of Chicago with concentration in Epidemiology, Statistical Analysis, Research Methods, and Psychometrics.

About us

Inovalon is a leading provider of cloud-based SaaS solutions empowering data-driven healthcare. The Inovalon ONE® Platform brings together national-scale connectivity, real-time primary source data access, and advanced analytics into a sophisticated cloud-based platform empowering improved outcomes and economics across the healthcare ecosystem. The company’s analytics and capabilities are used by nearly 20,000 customers supporting more than 53,000 sites of care. For more information, visit www.inovalon.com.

Inovalon
4321 Collington Road
Bowie, MD 20716
(301) 809-4000

www.inovalon.com

  1. N Ahmed, F Sun, C Teigland, KM Kilgore, et al., Chimeric Antigen Receptor T-Cell Access in Patients with Relapsed/Refractory Large B-Cell Lymphoma: Association of Access with Social Determinants of Health and Travel Time to Treatment Centers, Transplantation and Cellular Therapy, 2024, 30(7), 714–725. DOI: https://doi.org/10.1016/j.jtct.2024.04.017