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Adolescents and young adults (AYAs, 15-39 years) are the largest uninsured population in the Unites States, increasing the likelihood of late-stage cancer diagnosis and poor survival. We evaluated the associations between the Affordable Care Act (ACA), insurance coverage, stage at diagnosis and survival among AYAs with lymphoma. We used data from the California Cancer Registry linked to Medicaid enrollment files on AYAs diagnosed with a primary non-Hodgkin (NHL; n=5959) or Hodgkin (n=5378) lymphoma pre-ACA and in the early and full ACA eras. Health insurance was categorized as continuous Medicaid, discontinuous Medicaid, Medicaid enrollment at diagnosis/uninsurance, other public and private. We used multivariable regression models for statistical analyses. The proportion of AYAs uninsured/Medicaid enrolled at diagnosis decreased from 13.4% pre-ACA to 9.7% with full ACA implementation, while continuous Medicaid increased from 9.3% to 29.6% during this time (P

ImportanceCalifornia’s tobacco control efforts have been associated with a decrease in cancer mortality, but these estimates are based on smoking prevalence of the general population. Patient-level tobacco use information allows for more precise estimates of the proportion of cancer deaths attributable to smoking.ObjectiveTo calculate the proportion (smoking-attributable fraction) and number (smoking-attributable cancer mortality) of cancer deaths attributable to tobacco use using patient-level data.Design, Setting, and ParticipantsThe smoking-attributable fraction and smoking-attributable cancer mortality were calculated for a retrospective cohort of patients whose cancer was diagnosed from 2014 to 2019 with at least 1 year of follow-up using relative risks from large US prospective studies and patient-level smoking information. Follow-up continued through April 2022. A population-based cohort was identified from the California Cancer Registry. Participants included adults aged 20 years and older with a diagnosis of 1 of the 12 tobacco-related cancers (oral cavity or pharynx, larynx, esophagus, lung, liver, stomach, pancreas, kidney, bladder, colon or rectum, cervix, and acute myeloid leukemia).ExposuresTobacco use defined as current, former, or never.Main Outcomes and MeasuresThe primary outcomes were the smoking-attributable fraction and smoking-attributable cancer mortality for each of the 12 tobacco-related cancers over 2 time periods (2014-2016 vs 2017-2019) and by sex.ResultsAmong 395 459 patients with a tobacco-related cancer, most (285 768 patients [72.3%]) were older than 60 years, the majority (228 054 patients [57.7%]) were non-Hispanic White, 229 188 patients were men (58.0%), and nearly one-half (184 415 patients [46.6%]) had lung or colorectal cancers. Nearly one-half of the deaths (93 764 patients [45.8%]) in the cohort were attributable to tobacco. More than one-half (227 660 patients [57.6%]) of patients had ever used tobacco, and 69 103 patients (17.5%) were current tobacco users, which was higher than the proportion in the general population (11.7%). The overall smoking-attributable fraction of cancer deaths decreased significantly from 47.7% (95% CI, 47.3%-48.0%) in 2014 to 2016 to 44.8% (95% CI, 44.5%-45.1%) in 2017 to 2019, and this decrease was seen for both men and women. The overall smoking-attributable cancer mortality decreased by 10.2%.Conclusions and RelevanceCalifornia still has a substantial burden of tobacco use and associated cancer. The proportion of cancer deaths associated with tobacco use was almost double what was previously estimated. There was a modest but significant decline in this proportion for overall tobacco-associated cancers, especially for women.

BackgroundHodgkin lymphoma (HL) is a treatable tumor affecting children, adolescents and young adults (AYAs; 15-39 years old). Population-based studies report worse survival for non-White children and AYAs but have limited data on individual therapeutic exposures. This study examined overall and HL-specific survival in a population-based cohort of patients while adjusting for sociodemographic factors and treatment.MethodsData for 4807 patients younger than 40 years with HL (2007-2017) were obtained from the California Cancer Registry. Individual treatment information was extracted from text fields; chemotherapy regimens were defined by standard approaches for pediatric and adult HL. Multivariable Cox models examined the influence of patient and treatment factors on survival.ResultsAt a median follow-up of 4.4 years, 95% of the patients were alive. Chemotherapy differed by age, with 70% of 22- to 39-year-olds and 41% of

BACKGROUND Traditionally, conventional induction chemotherapy has been the primary frontline treatment for acute myeloid leukemia (AML); however, older adults are often poor chemotherapy candidates. Recently, several nonconventional frontline AML regimens, including hypomethylating agents, the BCL-2 inhibitor venetoclax, and targeted therapies, have emerged, and they may offer new options for older adults. This study was aimed at describing treatment patterns and outcomes of older adult AML in a modern population-based cohort. METHODS This study evaluated patients aged ≥60 years with a first primary diagnosis of AML (2014-2017) in the California Cancer Registry linked to inpatient hospitalizations. Multivariable regression examined factors associated with the frontline treatment regimen and survival. RESULTS In all, 3068 patients were included; 36% received frontline therapy with a conventional chemotherapy backbone, 42% received nonconventional therapy, and 22% received no treatment. The use of nonconventional therapy increased over time from 38% of patients in 2014 to 47% in 2017 (P < .001). In multivariable analyses, receipt of treatment was associated with an age younger than 80 years, fewer than 2 comorbidities, and care at a National Cancer Institute-designated cancer center (NCI-CC). Compared with conventional chemotherapy, nonconventional therapy was associated with Black race/ethnicity, public health insurance, fewer hospital admissions, and fewer inpatient days. Receiving frontline therapy at an NCI-CC was independently associated with superior overall survival. CONCLUSIONS Using a population-based approach, this study has demonstrated that patterns of care for frontline AML treatment in older adults are changing, with increasing use of nonconventional therapies. A significant proportion of older adults remain untreated. At the population level, there remain opportunities to increase therapy access for older adults with AML.

Purpose Through screening and HPV vaccination, cervical cancer can mostly be prevented or detected very early, before symptoms develop. However, cervical cancer persists, and many women are diagnosed at advanced stages. Little is known about the degree to which U.S. women may begin their diagnostic workup for cervical cancer in Emergency Departments (ED). We sought to quantify the proportion of women presenting symptomatically in the ED prior to their diagnosis with cervical cancer and to describe their characteristics and outcomes. Methods We identified women diagnosed from 2006 to 2017 with cervical cancer in the California Cancer Registry. We linked this cohort to statewide ED discharge records to determine ED use and symptoms present at the encounter. Multivariable logistic regression models examined associations with ED use and multivariable Cox proportional hazards regression models examined associations with survival. Results Of the more than 16,000 women with cervical cancer in the study cohort, 28% presented symptomatically in the ED prior to diagnosis. Those presenting symptomatically were more likely to have public (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.06–1.27) or no insurance (OR 4.81; CI 4.06–5.71) (vs. private), low socioeconomic status (SES) (OR 1.76; CI 1.52–2.04), late-stage disease (OR 5.29; CI 4.70–5.96), and had a 37% increased risk of death (CI 1.28–1.46). Conclusion Nearly a third of women with cervical cancer presented symptomatically, outside of a primary care setting, suggesting that many women, especially those with low SES, may not be benefiting from screening or healthcare following abnormal results.

Background: Through adequate screening and follow-up, cervical cancer can be prevented or detected at early-stage (stage I), which is related to excellent survival. Current guidelines recommend discontinuing screening for women ≥65 years with history of normal Pap and/or HPV tests, potentially leaving this age group vulnerable. This study examined late-stage disease in a population-based cohort. Methods: Using California Cancer Registry data, we identified 12,442 patients ages ≥21 years with a first primary cervical cancer diagnosed during 2009–2018. Proportions of late-stage disease (stages II–IV) and early- and late-stage 5-year relative survival are presented by the age group. Among patients ages ≥65 years, multivariable logistic regression estimated associations of sociodemographic and clinical characteristics with late-stage cervical cancer. Results: Nearly one fifth of patients (n = 2,171, 17.4%) were ≥65 years. More women ages ≥65 years (71%) presented with late-stage disease than younger women (48% in patients ages Conclusions: There remains a significant burden of advanced cervical cancer in women ≥65. Impact: Efforts should be made to better understand how the current screening paradigm is failing women of 65 years and older. Future work should focus on determining past screening history, lapses in follow-up care, and non-invasive testing approaches.

To assess changes in health insurance coverage for young cancer patients pre- and post- the Affordable Care Act-Dependent Care Expansion (ACA-DCE) implementation in California. Further, we examined differences in insurance coverage by socioeconomic and race/ethnicity. Data were obtained from the California Cancer Registry and Medicaid enrollment files, from 2005 to 2014. We conducted difference-in-difference analyses among 7042 cancer patients aged 22–25 years (“intervention group”) and 25,269 aged 26–34 years (“control group”). We also examined the independent and combined effects of race/ethnicity and neighborhood socioeconomic status (nSES) on insurance coverage. After the ACA-DCE implementation, we observed a 52.7% reduction in the proportion of uninsured and a 35.7% increase in the proportion of privately insured patients. There was also a 17.3% reduction in Medicaid at cancer diagnosis and a 27.5% reduction in discontinuous Medicaid enrollment. However, these benefits were limited to patients of non-Hispanic White, Hispanic and Asian/Pacific Islander race/ethnicity living in higher nSES, with no differences in insurance enrollment among young adults who lived in low nSES or those of Black race/ethnicity. The ACA-DCE broadened insurance coverage for young adults with cancer in California. Yet, only certain subgroups of patients have benefited from this policy.

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.

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, with a median age of diagnosis of 66 years. Anthracycline-containing regimens are the most common treatments, but toxicity concerns can limit their use in patients older than 80 years. Understanding treatment patterns and associated survival in adults older than 80 years (vs adults aged 65-80 years) can help determine effective management strategies in this population. We sought to describe the impact of age on treatment regimens used and associated survival in older adults with DLBCL.Data for 17,859 patients aged ≥65 years diagnosed with DLBCL from 2006 to 2017 were obtained from the California Cancer Registry. Detailed treatment information for each patient was extracted from treatment text fields. Multivariable logistic regression models examined characteristics associated with no treatment and multivariable Cox proportional hazards regression models examined the influence of treatment on overall survival and cancer specific survival.Across both examined age groups (65-80 years and older than 80 years), the most common treatment was anthracycline-containing regimens followed by other drug combinations. For patients older than 80 years, fewer received anthracyclines (32.4%) and more received other drug combinations (17.6%) or had no treatment (13.1%) vs those aged 65-80 years (61.6% anthracyclines, 10.4% other combinations, 5% no treatment). Women were less likely to receive treatment, as were those who were older, had more comorbidities, received treatment at non-National Cancer Institute designated cancer centers, or were diagnosed more recently. For patients older than 80 years, anthracyclines and R-CVP conferred a survival advantage compared to other combinations.In this large, population-based group of older adults with DLBCL, patients older than 80 years were less likely to receive initial treatment and more likely to receive other drug combinations despite a survival advantage with more standard anthracycline and nonanthracycline regimen protocols.

6532 Background: Our recent study showed that the implementation of the Affordable Care Act (ACA) was associated with increased health insurance coverage among adolescents and young adults (AYAs, 15–39 years) diagnosed with lymphomas in California and decreased likelihood of late stage at diagnosis. However, AYAs of Black or Hispanic race/ethnicity (vs Whites) and those living in lower socioeconomic (SES) neighborhoods were at higher risk of presenting with advanced stage. We aimed to determine whether the increased insurance coverage under the ACA was associated with improved survival, and to identify the main predictors of survival among AYAs with lymphomas. Methods: We used data from the California Cancer Registry linked to Medicaid enrollment files on AYAs diagnosed with a primary non-Hodgkin (NHL) or Hodgkin (HL) lymphoma during March 2005–September 2010 (pre-ACA), October 2010–December 2013 (early ACA) or 2014–2017 (full ACA). Patients were followed from lymphoma diagnosis until death, loss to follow-up or end of the study (12/31/2018). Health insurance was categorized as continuous Medicaid, discontinuous Medicaid, Medicaid enrollment at diagnosis/uninsured, other public or private. We used multivariable Cox proportional regression to examine the associations between all-cause survival and era of diagnosis, adjusting for sex, age and stage at diagnosis, health insurance, race/ethnicity, neighborhood SES, treatment facility, comorbidities, and marital status. Results: Of 11,221 AYAs, 5,878 were diagnosed with NHL and 5,343 with HL. Most patients were male (56%), White (45%), presented with earlier stage (I/II, 56%), and had private insurance (57%). The proportion of AYAs who received initial care at National Cancer Institute-Designated Cancer Centers (NCI-CCs) increased from 24% pre-ACA to 31% after full ACA implementation (p < 0.001). AYAs diagnosed in the early (aHR = 0.76, 95% CI 0.67–0.88) and full ACA (aHR = 0.55, 95%CI 0.47–0.64) eras had better survival than those diagnosed pre-ACA. Compared to those with private insurance, survival was worse among patients with no insurance (HR = 2.13, 95% CI 1.83–2.49), discontinuous Medicaid (HR = 2.17, 95% CI 1.83–2.56) and continuous Medicaid (HR = 1.93, 95% CI 1.63–2.29) at diagnosis. Regardless of their insurance, older AYAs, males, unmarried, those with later stage (II–IV), residents in lower SES neighborhoods, and those of Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaskan Native race/ethnicity experienced worse survival. Conclusions: Following the ACA implementation in California, AYAs diagnosed with lymphomas experienced increased access to care at NCI-CCs and improved survival. Yet, racial/ethnic and socioeconomic survival disparities persisted. Moving forward, policy actions are required to mitigate structural and social determinants of health disparities in this population.

Background Knowledge regarding late effects (medical conditions and subsequent neoplasms) in survivors of adolescent and young adult (AYA) acute lymphoblastic leukemia (ALL) is lacking. Methods Using the population-based California Cancer Registry linked with California hospitalization data, we evaluated late effects in 1069 AYAs (aged 15–39 years) diagnosed with ALL in California between 1995 and 2012 and surviving a minimum of 3 years from diagnosis. Results The estimated 10-year cumulative incidence of subsequent endocrine disease (28.7%, 95% confidence interval [CI] = 25.8% to 31.6%) and cardiac disease (17.0%, 95% CI = 14.6% to 19.5%) were strikingly high; avascular necrosis (9.6%, 95% CI = 7.8% to 11.6%), liver disease (6.5%, 95% CI = 5.0% to 8.3%), respiratory disease (6.2%, 95% CI = 4.8% to 8.0%), seizure and/or stroke (4.3%, 95% CI = 3.1% to 5.8%), renal disease (3.1%, 95% CI = 2.1% to 4.4%), and second neoplasms (1.4%, 95% CI = 0.7% to 2.4%) were estimated to occur at 10 years with the reported frequencies. Multivariable analyses including the entire patient cohort demonstrated that public or no insurance (vs private and/or military insurance) and receipt of hematopoietic cell transplantation were independently associated with the occurrence of all late effects considered. In multivariable analyses limited to the 766 AYAs who were not transplanted, we continued to find a statistically significant association between public and no insurance and the occurrence of all late effects. Frontline regimen type (pediatric vs adult) was not statistically significantly associated with any of the late effect categories. Conclusions This large population-based analysis is among the first to describe late effects in survivors of AYA ALL. The strong association between insurance type and late effects suggests that AYAs with public or no insurance may have reduced access to survivorship care following completion of ALL therapy.

Objectives Proton beam therapy (PBT) is a type of radiation therapy (RT) used for certain cancer types because it minimizes collateral tissue damage. The high cost and limited availability of PBT have constrained its utilization. This study examined patterns and determinants of PBT use in California. Study design Persons with diagnoses of all cancer types from 2003 to 2016 inclusive who had any type of RT were identified in the California Cancer Registry in this retrospective analysis. Methods Cross-tabulations were performed to summarize the demographic characteristics of the study population, both for individuals who received PBT and for those who received other RT modalities. PBT use patterns over time were assessed. Multivariate logistic regression models assessed the effects of demographics and health insurance type on receipt of PBT. Results Of the 2,499,510 people with a cancer diagnosis during the study period, 578,632 (23%) received some type of RT, and of these, 8609 received PBT (1.5%). PBT was most often used to treat cancers of the prostate (41.3%), breast (14.0%), eye (11.7%), lung (6.1%), and brain (6.0%). PBT use was highest in 2003-2004 and then declined over time. PBT use was significantly associated with being white or male, younger age, higher socioeconomic status, Medicare or dual Medicare-Medicaid insurance, uninsured/self-pay status, and proximity to treatment. Conclusions Significant differences exist in PBT use by demographics and health insurance type. The identified racial and socioeconomic disparities merit further investigation. More granular studies on both use patterns and effectiveness of PBT for specific cancers are needed to draw stronger conclusions about its cost-benefit ratio.

To assess changes in health insurance coverage for young cancer patients pre- and post- the Affordable Care Act-Dependent Care Expansion (ACA-DCE) implementation in California. Further, we examined differences in insurance coverage by socioeconomic and race/ethnicity.Data were obtained from the California Cancer Registry and Medicaid enrollment files, from 2005 to 2014. We conducted difference-in-difference analyses among 7042 cancer patients aged 22-25 years ("intervention group") and 25,269 aged 26-34 years ("control group"). We also examined the independent and combined effects of race/ethnicity and neighborhood socioeconomic status (nSES) on insurance coverage.After the ACA-DCE implementation, we observed a 52.7% reduction in the proportion of uninsured and a 35.7% increase in the proportion of privately insured patients. There was also a 17.3% reduction in Medicaid at cancer diagnosis and a 27.5% reduction in discontinuous Medicaid enrollment. However, these benefits were limited to patients of non-Hispanic White, Hispanic and Asian/Pacific Islander race/ethnicity living in higher nSES, with no differences in insurance enrollment among young adults who lived in low nSES or those of Black race/ethnicity.The ACA-DCE broadened insurance coverage for young adults with cancer in California. Yet, only certain subgroups of patients have benefited from this policy.

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 Multiple systemic treatments have been developed for stage IV non-small cell lung cancer (NSCLC), but their use and effect on outcomes at the population level are unknown. This study describes the utilization of first-line systemic treatments among stage IV NSCLC patients in California and compares survival among treatment groups. Methods Data on 17 254 patients diagnosed with stage IV NSCLC from 2012 to 2014 were obtained from the California Cancer Registry. Systemic treatments were classified into six groups. The Kaplan-Meier method and multivariable Cox proportional hazards models were used to compare survival between treatment groups. Results Fifty-one percent of patients were known to have received systemic treatment. For patients with nonsquamous histology, pemetrexed regimens were the most common treatment (14.8%) followed by tyrosine kinase inhibitors (11.9%) and platinum doublets (11.5%). Few patients received pemetrexed/bevacizumab combinations (4.5%), bevacizumab combinations (3.6%), or single agents (1.7%). There was statistically significantly better overall survival for those on pemetrexed regimens (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.80 to 0.92), bevacizumab regimens (HR = 0.73, 95% CI = 0.65 to 0.81), pemetrexed/bevacizumab regimens (HR = 0.68, 95% CI = 0.61 to 0.76), or tyrosine kinase inhibitors (HR = 0.62, 95% CI = 0.57 to 0.67) compared with platinum doublets. The odds of receiving most systemic treatments decreased with decreasing socioeconomic status. For patients with squamous histology, platinum doublets were predominant (33.7%) and were not found to have statistically significantly different overall survival from single agents. Conclusions These population-level findings indicate low utilization of systemic treatments, survival differences between treatment groups, and evident treatment disparities by socioeconomic status.

Author(s): Maguire, Frances B; Morris, Cyllene R; Parikh-Patel, Arti; Cress, Rosemary D; Keegan, Theresa H M; Li, Chin-Shang; Lin, Patrick S; Kizer, Kenneth W | Abstract: Population-based cancer registries have treatment information for all patients making them an excellent resource for population-level monitoring. However, specific treatment details, such as drug names, are contained in a free-text format that is difficult to process and summarize. We assessed the accuracy and efficiency of a text-mining algorithm to identify systemic treatments for lung cancer from free-text fields in the California Cancer Registry.The algorithm used Perl regular expressions in SAS 9.4 to search for treatments in 24,845 free-text records associated with 17,310 patients in California diagnosed with stage IV non-small cell lung cancer between 2012 and 2014. Our algorithm categorized treatments into six groups that align with National Comprehensive Cancer Network guidelines. We compared results to a manual review (gold standard) of the same records.Percent agreement ranged from 91.1% to 99.4%. Ranges for other measures were 0.71-0.92 (Kappa), 74.3%-97.3% (sensitivity), 92.4%-99.8% (specificity), 60.4%-96.4% (positive predictive value), and 92.9%-99.9% (negative predictive value). The text-mining algorithm used one-sixth of the time required for manual review.SAS-based text mining of free-text data can accurately detect systemic treatments administered to patients and save considerable time compared to manual review, maximizing the utility of the extant information in population-based cancer registries for comparative effectiveness research.

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.

e18143 Background: Studies have shown that having public or no insurance at sarcoma diagnosis is associated with higher stage disease and poor survival. However, previous studies have not differentiated sarcoma patients who enrolled in Medicaid at diagnosis from those previously insured, groups with differing access to care. Therefore, we examined the impact of insurance on stage at diagnosis and overall survival for AYAs with soft tissue sarcoma (STS), osteosarcoma (OS) and Ewing sarcoma (EWS). Methods: Using Medicaid enrollment data linked to the California Cancer Registry, we identified AYAs with STS (n = 1782), OS (n = 458), and EWS (n = 348), diagnosed during 2005-14. Insurance was classified as Medicaid [1. Continuous (≥5 months prior to diagnosis), 2. Discontinuous, 3. At diagnosis (no coverage prior to diagnosis)], private, and uninsured. Logistic and Cox proportional hazards regression determined the association of insurance with metastatic stage (vs localized) and overall survival, respectively adjusting for sociodemographic factors, baseline comorbidities, type of facility, treatment (survival) and stage (survival). Results: Only 17.5% of sarcoma patients had continuous Medicaid prior to diagnosis, with 11% of STS, 17% of EWS and 19% of OS patients obtaining Medicaid at diagnosis. AYAs with Medicaid at diagnosis [Odds Ratio (OR) 3.03, 95% Confidence Interval (CI) 2.27-4.03; vs private] and discontinuous Medicaid (OR 2.25, CI 1.48-3.41) had a higher likelihood of metastatic disease. STS patients with Medicaid at diagnosis [Hazard Ratio (HR) 1.83, CI 1.44-2.33; vs private) and discontinuous Medicaid (HR 1.45, CI 1.01-2.08) had worse survival. Medicaid at diagnosis (HR 1.68, CI 1.07-2.63) also was associated with worse survival in OS patients, but this association was not observed in EWS patients. Conclusions: Lacking insurance prior to diagnosis is associated with metastatic disease at presentation and worse survival in AYA patients with sarcoma. Health insurance remained associated with worse survival even after adjusting for stage, highlighting the importance of continuous health insurance to improve outcomes for this patient population.

Introduction: Adolescent and young adult (AYAs: 15-39) patients with cancer have not had the same relative improvement in survival as other age groups over the last decades. Studies have shown that having public insurance or being uninsured at diagnosis is associated with more advanced disease at presentation and worse overall survival. However, previous studies have not differentiated patients who joined Medicaid at diagnosis from those with continuous enrollment which may have different implications for access to care prior to diagnosis. Therefore, we examined the impact of insurance status, including Medicaid enrollment at diagnosis, on stage at diagnosis for AYAs with non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) only] and on survival for AYAs with NHL, HL, acute myeloblastic leukemia (AML), and acute lymphoblastic leukemia (ALL). Methods: Using Medicaid enrollment data linked to the California Cancer Registry, we identified AYAs with NHL, HL, ALL, and AML diagnosed from 2005 to 2014. Insurance type was classified as: continuous Medicaid, discontinuous Medicaid prior to diagnosis, Medicaid at diagnosis, other public (Medicare, Indian/Public Health Service, county), private/military, and uninsured. Multivariable logistic regression and Cox proportional hazards regression were used to determine the impact of insurance type on stage at diagnosis (for NHL and HL) and overall survival, respectively. Results are represented as adjusted odds ratios (OR) and hazard ratios (HR) with associated 95% confidence intervals (CI). Results: Of the 11,667 AYA patients in our study, 4,435 had NHL, 4,161 had HL, 1,522 had AML and 1,549 had ALL. Patients with HL had the highest proportion of private insurance (66%) followed by those with NHL (60%), AML (50%) and ALL (37%). Of the 4,059 patients enrolled in Medicaid, 41% had continuous Medicaid, 15% had discontinuous Medicaid and 43% received Medicaid at diagnosis. Only 2-4% of patients, depending on primary diagnosis, remained uninsured after cancer diagnosis. The majority of AYAs with HL and NHL were diagnosed with stage I/II disease (59% and 52% respectively). Compared to AYAs with private insurance, NHL and HL patients with discontinuous Medicaid and Medicaid at diagnosis had a higher likelihood of later stage disease (III-IV vs I/II) at diagnosis (NHL: discontinuous OR 1.45, CI 1.10-1.92; at diagnosis OR 1.69, CI 1.38-2.06; HL: discontinuous OR 1.63, CI 1.19-2.23; at diagnosis OR 1.68, CI 1.35-2.09) after adjusting for sociodemographic factors, baseline comorbidities and type of facility. In addition, NHL patients with continuous Medicaid (OR 1.23, CI 1.01, 1.51) and HL patients with other public insurance (OR 1.56, CI 1.05-2.32) had a higher odds of late stage disease. Type of health insurance was associated with overall survival in multivariable models (Table). NHL patients with Medicaid (continuous HR 1.74, CI 1.39-2.17; discontinuous HR 2.52, CI 1.94-3.27; at diagnosis HR 1.88, CI 1.53-2.31), other public (HR 1.83, CI 1.16-2.87) and no insurance (HR 1.87, CI 1.09-3.20) had worse survival than NHL patients with private insurance. Similarly, HL patients with Medicaid (continuous HR 2.10, CI 1.42-3.12; discontinuous HR 1.89, CI 1.08-3.29; at diagnosis HR 2.43, CI 1.699-3.48) and no insurance (HR 1.87, CI 1.09-3.20) experienced worse survival. For AML, health insurance was not significantly associated with survival. For ALL, only continuous Medicaid (HR 1.32, CI 1.05-1.67) and other public (HR 1.32, CI 1.05-1.67) insurance were associated with worse survival, though discontinuous Medicaid trended toward significance (p=0.06). Conclusion: Our study demonstrates that a significant proportion of patients previously thought to have public insurance were discontinuously insured with Medicaid or uninsured at time of diagnosis, only receiving Medicaid after diagnosis. While important, insurance enrollment at diagnosis does not provide the same pre-diagnosis access to services as those with continuous enrollment. Indeed, for NHL and HL, we observed the strongest associations between discontinuous Medicaid and Medicaid at diagnosis and late stage disease. However, Medicaid, regardless of type of enrollment, was associated with worse survival in AYAs with NHL, HL and ALL relative to private insurance. Therefore, future studies should focus on factors influencing worse outcomes for AYA patients with public insurance. Disclosures No relevant conflicts of interest to declare.