Background
Uninsured adolescents and young adults (AYAs) and those with publicly funded health insurance are more likely to be diagnosed with cancer at later stages. However, prior population-based studies have not distinguished between AYAs who were continuously uninsured from those who gained Medicaid coverage at the time of cancer diagnosis.
Methods
AYA patients (ages 15–39 years) with nine common cancers diagnosed from 2005 to 2014 were identified using California Cancer Registry data. This cohort was linked to California Medicaid enrollment files to determine continuous enrollment, discontinuous enrollment, or enrollment at diagnosis, with other types of insurance determined from registry data. Multivariable logistic regression was used to evaluate factors associated with later stages at diagnosis.
Results
The majority of 52 774 AYA cancer patients had private or military insurance (67.6%), followed by continuous Medicaid (12.4%), Medicaid at diagnosis (8.5%), discontinuous Medicaid (3.9%), other public insurance (1.6%), no insurance (2.9%), or unknown insurance (3.1%). Of the 13 069 with Medicaid insurance, 50.1% were continuously enrolled. Compared to those who were privately insured, AYAs who enrolled in Medicaid at diagnosis were 2.2–2.5 times more likely to be diagnosed with later stage disease, whereas AYAs discontinuously enrolled were 1.7–1.9 times and AYAs continuously enrolled were 1.4–1.5 times more likely to be diagnosed with later stage disease. Males, those residing in lower socioeconomic neighborhoods, and AYAs of Hispanic or black race and ethnicity (vs non-Hispanic white) were more likely to be diagnosed at a later stage, independent of insurance.
Conclusions
Our findings suggest that access to continuous medical insurance is important for decreasing the likelihood of late stage cancer diagnosis.
Background
Adolescents and young adults (AYAs) with public or no insurance experience later stage at diagnosis and worse overall survival compared with those with private insurance. However, prior studies have not distinguished the survival impact of continuous Medicaid coverage prior to diagnosis compared with gaining Medicaid coverage at diagnosis.
Methods
We linked a cohort of AYAs aged 15‐39 who were diagnosed with 13 common cancers from 2005 to 2014 in the California Cancer Registry with California Medicaid enrollment files to ascertain Medicaid enrollment, with other insurance determined from registry data. We used Cox proportional hazards regression to evaluate the impact of insurance on survival, adjusting for clinical and demographic characteristics.
Results
Among 62 218 AYAs, over 65% had private/military insurance, 10% received Medicaid at diagnosis, 13.2% had continuous Medicaid, 4.1% had discontinuous Medicaid, 1.7% had other public insurance, 3% were uninsured, and 2.6% had unknown insurance. Compared with those with private/military insurance, individuals with Medicaid insurance had significantly worse survival regardless of when coverage began (received Medicaid at diagnosis: hazard ratio [95% confidence interval]: 1.51 [1.42‐1.61]; continuously Medicaid insured: 1.42 [1.33‐1.52]; discontinuous Medicaid: 1.64 [1.49, 1.80]). Analyses of those with Medicaid insurance only demonstrated slightly worse cancer‐specific survival among those with discontinuous Medicaid or enrollment at diagnosis compared with those with continuous enrollment, but results were not significant stratified by cancer site.
Conclusions and relevance
AYAs with Medicaid insurance experience worse cancer‐specific survival compared with those with private/military insurance, yet continuous enrollment demonstrates slight survival improvements, providing potential opportunities for future policy intervention.
Background: Management of advanced-stage non-small cell lung cancer (NSCLC) has changed significantly over the past two decades with the development of numerous systemic treatments, including targeted therapies. However, a high proportion of advanced-stage patients are untreated. The role that health insurance plays in receipt of systemic treatments is unclear.Methods: Using California Cancer Registry data (2012-2014), we developed multivariable Poisson regression models to assess the independent effect of health insurance type on systemic treatment utilization among patients with stage IV NSCLC. Systemic treatment information was manually abstracted from treatment text fields.Results: A total of 17,310 patients were evaluated. Patients with Medicaid/other public insurance were significantly less likely to receive any systemic treatments [risk ratio (RR), 0.78; 95% confidence interval (CI), 0.75-0.82], bevacizumab combinations (RR, 0.57; 95% CI, 0.45-0.71), or tyrosine kinase inhibitors (RR, 0.70; 95% CI, 0.60-0.82) compared with the privately insured. Patients with Medicare or dual Medicare-Medicaid insurance were not significantly different from the privately insured in their likelihood of receiving systemic treatments.Conclusions: Substantial disparities in the use of systemic treatments for stage IV NSCLC exist by source of health insurance in California. Patients with Medicaid/other public insurance were significantly less likely to receive systemic treatments compared with their privately insured counterparts.Impact: Source of health insurance influences care received. Further research is warranted to better understand barriers to treatment that patients with Medicaid face.
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