Association of State Medicaid Income Eligibility Limits and Long-Term Survival After Cancer Diagnosis in the United States

PURPOSE: To examine the association between historic state Medicaid income eligibility limits and long-term survival among patients with cancer. METHODS: 1,449,144 adults age 18-64 years newly diagnosed with 19 common cancers between 2010 and 2013 were identified from the National Cancer Database. States' Medicaid income eligibility limits were categorized as ≤ 50%, 51%-137%, and ≥ 138% of federal poverty level (FPL). Survival time was measured from diagnosis date through December 31, 2017, for up to an 8-year follow-up. Multivariable Cox proportional hazards models with age as time scale were used to assess associations of eligibility limits and stage-specific survival, adjusting for the effects of sex, metropolitan statistical area, comorbidities, year of diagnosis, facility type and volume, and state. RESULTS: Among patients with newly diagnosed cancer age 18-64 years, patients living in states with lower Medicaid income eligibility limits had worse survival for most cancers in both early and late stages, compared with those living in states with Medicaid income eligibility limits ≥ 138% FPL. A dose-response relationship was observed for most cancers with lower income limits associated with worse survival (13 of 17 cancers evaluated for early-stage cancers, and 11 of 17 cancers evaluated for late-stage cancers, and leukemia and brain tumors with P-trend < .05). CONCLUSION: Lower Medicaid income eligibility limits were associated with worse long-term survival within stage; increasing Medicaid income eligibility may improve survival after cancer diagnosis.

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Association of state Medicaid income eligibility limits and long-term survival after cancer diagnosis in the United States.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.6512 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. 6512-6512

Author(s):

Jingxuan Zhao ◽

Xuesong Han ◽

Leticia Nogueira ◽

Ahmedin Jemal ◽

Robin Robin Yabroff

Keyword(s):

United States ◽

Cancer Patients ◽

Low Income ◽

The United States ◽

Metropolitan Statistical Area ◽

Newly Diagnosed ◽

Poverty Level ◽

Term Survival ◽

Long Term Survival

6512 Background: Income eligibility limits for Medicaid, the health insurance programs for low-income populations in the United States, vary substantially by state for the non-elderly population. This study examined associations between state Medicaid income eligibility limits and long-term survival among newly diagnosed cancer patients. Methods: 1,426,657 adults aged 18-64 years newly diagnosed with 17 common cancers between 2010 to 2013 were identified from the National Cancer Database. States’ Medicaid income eligibility limits were categorized as < = 50%, 51%-137%, and > = 138% of Federal Poverty Level (FPL). Survival time was measured from diagnosis date through December 31, 2017, for up to 8 years of follow-up. Multivariable Cox proportional hazard models with age as time scale were used to assess associations of eligibility limits and stage-specific survival, controlling for age group, sex, race/ethnicity, metropolitan statistical area, number of health conditions other than cancer, year of diagnosis, facility type, and the random effect of state of residence. Results: Among newly diagnosed cancer patients aged 18-64 years, 22.0%, 43.5%, and 34.5% resided in states with Medicaid income eligibility limits ≤50%, 51%-137%, and ≥138% FPL, respectively. Compared to patients living in states with Medicaid income eligibility limits ≥138% FPL, patients living in states with Medicaid income eligibility limits ≤50% and 51-137% FPL were more likely to have worse survival for most cancers in both early and late stage. The highest hazard ratios (HRs) were observed among patients living in states eligibility limits ≤50% FPL (p trend < 0.05). For example, for early stage female breast cancer patients, the HRs were 1.31 (95% confidence interval [95% CI]: 1.18 – 1.46) and 1.17 (95% CI: 1.06 – 1.30) for patients living in states with Medicaid income eligibility limits ≤50% and 51%-137% compared to those living in states with Medicaid income eligibility limits ≥138% FPL. Conclusions: Lower Medicaid income eligibility limits were associated with worse long-term survival within stage, with variation below the Medicaid eligibility threshold as part of the Affordable Care Act. States that have not expanded Medicaid income eligibility limits should expand them to help improve survival among cancer patients.

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Disparities in Cancer-Related Mortality and Long-Term Survival in Adolescent and Young Adults with Hodgkin Lymphoma: A Population-Level Analysis across the United States

Blood ◽

10.1182/blood-2018-99-119382 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4866-4866

Author(s):

Justine M. Kahn ◽

Theresa H.M. Keegan ◽

Elysia Alvarez ◽

Lori S Muffly ◽

Helen Parsons ◽

...

Keyword(s):

Overall Survival ◽

Cancer Diagnosis ◽

The United States ◽

Term Survival ◽

The Past ◽

After Cancer ◽

Year 2000 ◽

Racial Ethnic ◽

Cause Specific Survival

Abstract Background: Hodgkin lymphoma (HL) is one of the most common, and one of the most curable cancers in adolescents and young adults (AYAs) (15-39 years). Despite excellent outcomes in the majority of patients, the burden of long-term morbidity and mortality persists. Prior analyses of patients treated for HL before the year 2000 have reported mortality rates as high as 30% by 20 years. Further, this mortality risk has historically differed across different racial and ethnic groups. Over the past decade, cooperative groups have expanded the use of risk-adapted, response-based treatment in an effort to maintain high cure rates, while simultaneously reducing the burden of late effects. We examined long-term survival in AYAs with HL treated after the year 2000. Methods: We used the National Cancer Institute Surveillance, Epidemiology, and End Results registry data for 18 regions in the United States (SEER18) to examine survival in AYAs with a confirmed diagnosis of HL between 2000 and 2015. We obtained overall and cause-specific survival estimates for each year after cancer diagnosis (up to 15 years) for each racial/ethnic group with corresponding 95% confidence intervals. From these yearly survival estimates, we calculated the percentage of deaths not attributed to HL at 10- and 15-years after cancer diagnosis. Results: The final analysis included 16,868 HL patients. Racial/ethnic subgroups included: non-Hispanic white (NHW; 11,016, 65%), Hispanic (2,753, 16%), non-Hispanic black (NHB; 2,131, 13%), and Asian/Pacific Islander (API; 968, 6%) AYAs with HL. Across the full cohort, the 10-year and 15-year overall survival probabilities were 90% (95% confidence interval [95%CI]: 89 - 91) and 87% (95% CI: 86 - 88), respectively. At 10- and 15-years, overall survival was highest for NHWs (10-year: 92%: 15-year: 88%) and APIs (91%; 86%) compared to Hispanics (87%; 85%) and NHBs (82%; 78%). Overall survival, cause-specific survival, and percentage of deaths not attributed to HL by race/ethnicity are presented in the Figure. In the first year after diagnosis, 22% of deaths were due to causes other than primary disease, with the percentage of deaths not attributed to HL higher in NHWs and APIs than Hispanics and NHBs. At most time points after cancer diagnosis, a higher proportion of NHW (vs. NHB, Hispanic and API) patients died from causes other than HL. By 10 years after diagnosis, 25% of NHW patients died due to causes other than HL, vs. 20% in API, 17% in NHB, and 15% in Hispanic patients. By 15 years, 33% of all deaths were not attributed to HL. This was observed most dramatically in the NHW cohort in whom 40% of all deaths were not HL-related, compared to 24% of deaths in the NHB cohort and 26% - 27% of deaths in the Hispanic and API groups. Conclusion: In AYAs diagnosed with HL between 2000 and 2015, NHB patients had worse survival compared with NHW and API patients. The higher probability of survival in NHW patients was accompanied by a consistently higher proportion of non-cancer related death in this cohort both 10- years and 15-years after diagnosis. Studies are needed to evaluate risk factors for both short- and long-term mortality in AYAs, and to examine how these risks differ across racial/ethnic groups. Findings also suggest that despite increasing use of response-adapted therapy over the past two decades, all AYAs with HL remain at risk of death in the decades following therapy, further highlighting the need for long-term follow-up of this at-risk patient population. Figure. Figure. Disclosures Muffly: Adaptive Biotechnologies: Research Funding; Shire Pharmaceuticals: Research Funding.

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