Insurance coverage for AYAs at cancer diagnosis: A claims-based analysis.

105 Background: Adolescents and Young Adults (AYAs), aged 15-39, experience unique challenges in cancer care. Frequent health insurance gaps for this population due to age, employment, and living changes hinder effective care and outcome assessments. Uninsured AYAs have lower survival rates, and insurance disparities are notable among Black, Hispanic, and rural patients; however, patterns of enrollment among AYAs have not been well described. Our study examined these patterns using insurance claims data to better inform AYA cancer care and outcomes. Methods: We conducted a retrospective cohort study with the Cancer Information and Population Health Resource (CIPHR), a linkage of cancer registry data and private and public payer data in North Carolina, including Medicaid and over 70% of the private insurance market. We included patients aged 15-39 diagnosed with common AYA cancers (leukemia, lymphoma, breast cancer, melanoma, sarcoma, germ cell tumors) from 2003-2019, linked to claims from 2003-2020. We analyzed insurance coverage patterns, comparing continuous enrollment 1) from two months pre-diagnosis to 12 months post-diagnosis and 2) from the month of diagnosis through 12 months. We compared demographics, clinical characteristics, and insurance types across scenarios. Results: The full cancer registry cohort included 21,060 AYAs; 11,024 (52.3%) had no link to Medicaid or private insurance in the year of cancer diagnosis. Continuous enrollment was 4,707 (22.4%) from two months prior through 12 months after, increasing to 5,912 (28.1%) for month of diagnosis through 12 months, particularly among Medicaid beneficiaries (from 10.8% to 15.6% of total cohort). Less restrictive criteria increased representation among Black (from 29.1% to 38.5%) and rural patients (from 25.2% to 33.1%) and those with leukemia (25.2% to 33.8%) and lymphoma (24.0% to 31.0%). Conclusions: AYAs face substantial hurdles with discontinuous insurance coverage around their cancer diagnosis. Claims-based research can characterize cancer care delivery, and use of less restrictive eligibility criteria expands the generalizability of findings to a more diverse cohort of AYAs. Increasing health insurance coverage over time may be due to the Affordable Care Act. Medicaid expansion within our state is likely to further improve access for AYAs. Continued efforts are essential to help AYAs with cancer secure necessary insurance coverage. Characteristics of AYAs by insurance enrollment criteria. Registry Cohort (n = 21,060) Continuous Enrollment –2 mos to 12 mos (n= 4,707) Continuous Enrollment 0 to 12 mos (n = 5,912) Cancer Type Breast 5817 1345 (23.1%) 1754 (30.2%) Sarcoma 1833 429 (23.4%) 532 (29.0%) Lymphoma 4436 1064 (24.0%) 1374 (31.0%) Leukemia 2393 604 (25.2%) 809 (33.8%) Race/Ethnicity Black 3951 1150 (29.1%) 1521 (38.5%) White 14620 3153 (21.6%) 3886 (26.6%) Hispanic 1296 164 (12.7%) 210 (16.2%) Location Urban 16277 Rural 4728 1190 (25.2%) 1565 (33.1%)

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Journal
JCO Oncology Practice
Published
2024-09-30
DOI
https://doi.org/10.1200/op.2024.20.10_suppl.105
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
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article
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article

Insurance coverage for AYAs at cancer diagnosis: A claims-based analysis.

Jacob Stein, KyungSu Kim, C.D. Baggett, Jennifer L. Lund et al.
JCO Oncology Practice
Health Systems, Economic Evaluations, Quality of Life
article

Insurance coverage for AYAs at cancer diagnosis: A claims-based analysis.

Jacob Stein, KyungSu Kim, C.D. Baggett, Jennifer L. Lund, Katherine Elizabeth Reeder-Hayes, Hannah Clark Winslow
article en

Abstract

105 Background: Adolescents and Young Adults (AYAs), aged 15-39, experience unique challenges in cancer care. Frequent health insurance gaps for this population due to age, employment, and living changes hinder effective care and outcome assessments. Uninsured AYAs have lower survival rates, and insurance disparities are notable among Black, Hispanic, and rural patients; however, patterns of enrollment among AYAs have not been well described. Our study examined these patterns using insurance claims data to better inform AYA cancer care and outcomes. Methods: We conducted a retrospective cohort study with the Cancer Information and Population Health Resource (CIPHR), a linkage of cancer registry data and private and public payer data in North Carolina, including Medicaid and over 70% of the private insurance market. We included patients aged 15-39 diagnosed with common AYA cancers (leukemia, lymphoma, breast cancer, melanoma, sarcoma, germ cell tumors) from 2003-2019, linked to claims from 2003-2020. We analyzed insurance coverage patterns, comparing continuous enrollment 1) from two months pre-diagnosis to 12 months post-diagnosis and 2) from the month of diagnosis through 12 months. We compared demographics, clinical characteristics, and insurance types across scenarios. Results: The full cancer registry cohort included 21,060 AYAs; 11,024 (52.3%) had no link to Medicaid or private insurance in the year of cancer diagnosis. Continuous enrollment was 4,707 (22.4%) from two months prior through 12 months after, increasing to 5,912 (28.1%) for month of diagnosis through 12 months, particularly among Medicaid beneficiaries (from 10.8% to 15.6% of total cohort). Less restrictive criteria increased representation among Black (from 29.1% to 38.5%) and rural patients (from 25.2% to 33.1%) and those with leukemia (25.2% to 33.8%) and lymphoma (24.0% to 31.0%). Conclusions: AYAs face substantial hurdles with discontinuous insurance coverage around their cancer diagnosis. Claims-based research can characterize cancer care delivery, and use of less restrictive eligibility criteria expands the generalizability of findings to a more diverse cohort of AYAs. Increasing health insurance coverage over time may be due to the Affordable Care Act. Medicaid expansion within our state is likely to further improve access for AYAs. Continued efforts are essential to help AYAs with cancer secure necessary insurance coverage. Characteristics of AYAs by insurance enrollment criteria. Registry Cohort (n = 21,060) Continuous Enrollment –2 mos to 12 mos (n= 4,707) Continuous Enrollment 0 to 12 mos (n = 5,912) Cancer Type Breast 5817 1345 (23.1%) 1754 (30.2%) Sarcoma 1833 429 (23.4%) 532 (29.0%) Lymphoma 4436 1064 (24.0%) 1374 (31.0%) Leukemia 2393 604 (25.2%) 809 (33.8%) Race/Ethnicity Black 3951 1150 (29.1%) 1521 (38.5%) White 14620 3153 (21.6%) 3886 (26.6%) Hispanic 1296 164 (12.7%) 210 (16.2%) Location Urban 16277 Rural 4728 1190 (25.2%) 1565 (33.1%)

JCO Oncology PracticeVol. 20(10_suppl)
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 79%
Health Systems, Economic Evaluations, Quality of Life
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