Health Insurance Continuity and Mortality in Children and Adolescents/Young Adults with Blood Cancer.

Abstract

Many uninsured patients do not receive Medicaid coverage until a cancer diagnosis, potentially delaying access to care for early cancer detection and treatment. We examine the association of Medicaid enrollment timing and patterns with survival among children and adolescents/young adults (AYAs) diagnosed with blood cancers, where disease onset can be acute and early detection is critical. We identified 28,750 children and AYAs (0-39 years) newly diagnosed with blood cancers from the 2006-2013 SEER-Medicaid data. Enrollment patterns included continuous Medicaid (preceding through diagnosis), newly gained Medicaid (at/shortly after diagnosis), other noncontinuous Medicaid enrollment, and private/other insurance. We assessed cumulative incidence of death from diagnosis, censoring at last follow-up, five years post-diagnosis, or December 2018, whichever occurred first. Multivariable survival models estimated the association of insurance enrollment patterns with risk of death. One-fourth (26.1%) of the cohort were insured by Medicaid; of these, 41.1% had continuous Medicaid, 34.9% had newly gained Medicaid, and 24.0% had other noncontinuous enrollment. The cumulative incidence of all-cause death five-year post-diagnosis was highest in patients with newly gained Medicaid (30.2%, 95%CI = 28.4-31.9%), followed by other noncontinuous enrollment (23.2%, 95%CI = 21.3-25.2%), continuous Medicaid (20.5%, 95%CI = 19.1-21.9%), and private/other insurance (11.2%; 95%CI = 10.7-11.7%). In multivariable models, newly gained Medicaid was associated with a higher risk of all-cause (hazard ratio = 1.39, 95%CI = 1.27-1.53) and cancer-specific death (hazard ratio = 1.50, 95%CI = 1.35-1.68), compared to continuous Medicaid. Continuous Medicaid coverage is associated with survival benefits among pediatric and AYA patients diagnosed with blood cancers; however, less than half of Medicaid-insured patients have continuous coverage before diagnosis.