scholarly journals Worse Outcomes Associated with Public Insurance in AYAs with Leukemia and Lymphoma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 977-977
Author(s):  
Elysia Alvarez ◽  
Helen Parsons ◽  
Frances Maguire ◽  
Yi Chen ◽  
Cyllene Morris ◽  
...  

Abstract 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.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18143-e18143
Author(s):  
Elysia Marie Alvarez ◽  
Frances Maguire ◽  
Helen M. Parsons ◽  
Cyllene Morris ◽  
Arti Parikh-Patel ◽  
...  

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.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 528-528
Author(s):  
Maxwell Roger Lloyd ◽  
Sarah Jo Stephens ◽  
Julian C. Hong ◽  
Ted A. James ◽  
Tejas Mehta ◽  
...  

528 Background: During the SARS-CoV-2 pandemic, routine screening mammography (SM) was stopped and diagnostic mammography (DM) was limited for several months across the United States in order to reduce patient exposure and redeploy medical personnel. We hypothesized that this delay would result in patients presenting with later-stage disease following the initial shutdown. Methods: Patients diagnosed with invasive breast cancers from 2016-2020 were identified using the Beth Israel Deaconess Medical Center Cancer Registry. Baseline patient characteristics, demographics, and clinical information were gathered and cross-referenced with our electronic medical record. Late-stage disease was defined as initial anatomic stage III-IV disease in the AJCC 8th edition staging system. The control cohort consisted of patients diagnosed from 2016-2019; patients diagnosed in 2020 were the test cohort. Chi-squared analysis was used to compare monthly distributions in stage at diagnosis between the control and test cohorts. Multivariate analysis was performed using a logistic regression model. Results: There were 1597 patients diagnosed with invasive breast cancer between 2016-2019 and 333 in 2020. Median age at diagnosis was 60 years; 99% were female, and 69.1% were white. Mammography was limited from 3/16/20-6/8/20, with 90% reduction in volume during this time. The number of screening studies performed in March, April, May, and June of 2020 were 987, 1, 4, and 721 compared to 2042, 2141, 2241, and 2142 in 2019. The volume of new diagnoses per month decreased substantially during the shutdown (see table). The proportion of patients diagnosed with late-stage disease was 6.6% in the control cohort compared to 12.6% in the 2020 test cohort (p < 0.001); 92.9% of late-stage diagnoses in 2020 occurred from June to December following the shutdown period. On multivariate analysis, year of diagnosis (2020 vs 2016-2019; OR = 4.25 95% CI 0.035-0.095, p < 0.001), lower income (<200% of the federal poverty level; OR = 2.73 95% CI 0.016-0.099, p = 0.006) and increased Charlson Comorbidity Index (OR = 12.01 95% CI 0.037-0.052, p < 0.001) were associated with later stage at diagnosis. Conclusions: Patients were more likely to be diagnosed with late-stage breast cancer following the global shutdown due to the SARS-CoV-2 pandemic. Patients with lower income and medical comorbidities were disproportionately affected. These data raise significant concerns regarding the impact of SARS-CoV-2 on cancer diagnoses and long-term outcomes, especially in vulnerable patient populations.[Table: see text]


2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 154-154
Author(s):  
M. Omaira ◽  
M. Mozayen ◽  
R. Mushtaq ◽  
K. Katato

154 Background: Major advances in early diagnosis and treatment of breast cancer (BC) have been achieved with significant declines in mortality. However, not all segments of the United States population have experienced equal benefits from this progress. Though ethnic disparities in BC outcome have been attributed to lack of adequate health insurance, the differences in outcome when insurance and socioeconomic status are similar still exist. We elected to examine the effect of insurance status at diagnosis, and whether race is an independent risk of poor outcome in a population from a community-based cancer database. Methods: A retrospective study on BC among patients aged 18 to 64 years were identified, between 1993 and 2005, using data from the Tumor Registry at Hurley Medical Center in Flint, Michigan. Patient’s characteristics included age, race, stage at diagnosis, and primary payer. Insurance status was classified as uninsured/Medicaid, private insurance, and Medicare disability (Medicare under age 65). The 5-year overall survival (OS) was calculated, in respect to patient ethnicity, and compared between the three insurance groups using Fisher’s exact test. Results: A total of 779 patients have been identified with diagnosis of BC. 147 patients were excluded due to incomplete data. 632 patients were analyzed. African Americans were 228 (36%), Caucasians 391 (62%), and other ethnicities 13 (2%). Mean age at diagnosis was (49.21) for African Americans versus (51.35) for Caucasians (p = 0.002). African Americans were more likely to present at advanced stage (III, IV) than Caucasians (17% versus 10%, p = 0.017). However, this difference was not statistically significant when adjusting for insurance status. Although both ethnicities had similar OS in respect of their insurance group, patients with Medicaid/uninsured had significantly lower OS compared to patients with Medicare disability (p = 0.006) and private insurance (p < 0.0001) respectively. Conclusions: Uninsured/Medicaid patients with breast cancer have worse outcome when compared to patients with Medicare or private insurance. Ethnicity is not an independent risk factor of advanced stage at diagnosis and poorer outcome.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6532-6532
Author(s):  
Renata Abrahão ◽  
Julianne J.P. Cooley ◽  
Frances Belda Maguire ◽  
Cyllene Morris ◽  
Arti Parikh-Patel ◽  
...  

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.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
K. A. Pickering ◽  
K. Gilroy ◽  
J. W. Cassidy ◽  
S. K. Fey ◽  
A. K. Najumudeen ◽  
...  

AbstractRAC1 activity is critical for intestinal homeostasis, and is required for hyperproliferation driven by loss of the tumour suppressor gene Apc in the murine intestine. To avoid the impact of direct targeting upon homeostasis, we reasoned that indirect targeting of RAC1 via RAC-GEFs might be effective. Transcriptional profiling of Apc deficient intestinal tissue identified Vav3 and Tiam1 as key targets. Deletion of these indicated that while TIAM1 deficiency could suppress Apc-driven hyperproliferation, it had no impact upon tumourigenesis, while VAV3 deficiency had no effect. Intriguingly, deletion of either gene resulted in upregulation of Vav2, with subsequent targeting of all three (Vav2−/−Vav3−/−Tiam1−/−), profoundly suppressing hyperproliferation, tumourigenesis and RAC1 activity, without impacting normal homeostasis. Critically, the observed RAC-GEF dependency was negated by oncogenic KRAS mutation. Together, these data demonstrate that while targeting RAC-GEF molecules may have therapeutic impact at early stages, this benefit may be lost in late stage disease.


2021 ◽  
pp. 003335492199917
Author(s):  
Lindsey A. Jones ◽  
Katherine C. Brewer ◽  
Leslie R. Carnahan ◽  
Jennifer A. Parsons ◽  
Blase N. Polite ◽  
...  

Objective For colon cancer patients, one goal of health insurance is to improve access to screening that leads to early detection, early-stage diagnosis, and polyp removal, all of which results in easier treatment and better outcomes. We examined associations among health insurance status, mode of detection (screen detection vs symptomatic presentation), and stage at diagnosis (early vs late) in a diverse sample of patients recently diagnosed with colon cancer from the Chicago metropolitan area. Methods Data came from the Colon Cancer Patterns of Care in Chicago study of racial and socioeconomic disparities in colon cancer screening, diagnosis, and care. We collected data from the medical records of non-Hispanic Black and non-Hispanic White patients aged ≥50 and diagnosed with colon cancer from October 2010 through January 2014 (N = 348). We used logistic regression with marginal standardization to model associations between health insurance status and study outcomes. Results After adjusting for age, race, sex, and socioeconomic status, being continuously insured 5 years before diagnosis and through diagnosis was associated with a 20 (95% CI, 8-33) percentage-point increase in prevalence of screen detection. Screen detection in turn was associated with a 15 (95% CI, 3-27) percentage-point increase in early-stage diagnosis; however, nearly half (47%; n = 54) of the 114 screen-detected patients were still diagnosed at late stage (stage 3 or 4). Health insurance status was not associated with earlier stage at diagnosis. Conclusions For health insurance to effectively shift stage at diagnosis, stronger associations are needed between health insurance and screening-related detection; between screening-related detection and early stage at diagnosis; or both. Findings also highlight the need to better understand factors contributing to late-stage colon cancer diagnosis despite screen detection.


AIDS ◽  
2012 ◽  
Vol 26 (18) ◽  
pp. 2275-2284 ◽  
Author(s):  
José M. Marcelino ◽  
Pedro Borrego ◽  
Charlotta Nilsson ◽  
Carlos Família ◽  
Helena Barroso ◽  
...  

Author(s):  
Marissa B. Lawson ◽  
Christoph I. Lee ◽  
Daniel S. Hippe ◽  
Shasank Chennupati ◽  
Catherine R. Fedorenko ◽  
...  

Background: The purpose of this study was to determine factors associated with receipt of screening mammography by insured women before breast cancer diagnosis, and subsequent outcomes. Patients and Methods: Using claims data from commercial and federal payers linked to a regional SEER registry, we identified women diagnosed with breast cancer from 2007 to 2017 and determined receipt of screening mammography within 1 year before diagnosis. We obtained patient and tumor characteristics from the SEER registry and assigned each woman a socioeconomic deprivation score based on residential address. Multivariable logistic regression models were used to evaluate associations of patient and tumor characteristics with late-stage disease and nonreceipt of mammography. We used multivariable Cox proportional hazards models to identify predictors of subsequent mortality. Results: Among 7,047 women, 69% (n=4,853) received screening mammography before breast cancer diagnosis. Compared with women who received mammography, those with no mammography had a higher proportion of late-stage disease (34% vs 10%) and higher 5-year mortality (18% vs 6%). In multivariable modeling, late-stage disease was most associated with nonreceipt of mammography (odds ratio [OR], 4.35; 95% CI, 3.80–4.98). The Cox model indicated that nonreceipt of mammography predicted increased risk of mortality (hazard ratio [HR], 2.00; 95% CI, 1.64–2.43), independent of late-stage disease at diagnosis (HR, 5.00; 95% CI, 4.10–6.10), Charlson comorbidity index score ≥1 (HR, 2.75; 95% CI, 2.26–3.34), and negative estrogen receptor/progesterone receptor status (HR, 2.09; 95% CI, 1.67–2.61). Nonreceipt of mammography was associated with younger age (40–49 vs 50–59 years; OR, 1.69; 95% CI, 1.45–1.96) and increased socioeconomic deprivation (OR, 1.05 per decile increase; 95% CI, 1.03–1.07). Conclusions: In a cohort of insured women diagnosed with breast cancer, nonreceipt of screening mammography was significantly associated with late-stage disease and mortality, suggesting that interventions to further increase uptake of screening mammography may improve breast cancer outcomes.


Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Reaves Houston ◽  
Susan Keen ◽  
Chelsea Deitelzweig ◽  
Hannah Jones ◽  
Sarah Laible ◽  
...  

Introduction: Lack of health insurance is associated with reduced access to medical care and increased mortality. Chronic illness is associated with sudden death, a major cause of natural death. Insurance status of sudden death victims has not been characterized. Hypothesis: Uninsured compared to insured sudden death victims will have more chronic illnesses. Methods: From 2013-2015, emergency medical services-attended out of hospital deaths among ages 18-64 in Wake County, NC were screened to adjudicate sudden deaths. Medical records were reviewed for demographic, clinical, and health insurance status data. Insurance status was characterized as private, public, or no insurance. Cases were excluded from the analysis if no information on insurance was available. Comparisons of demographic and clinical characteristics were made between the three insurance status groups using Student’s t-test and ANOVA for continuous and categorical variables, respectively. Results: Of 399 cases of sudden death, insurance status data was available for 130: 25 (19.2%) had no insurance, 62 (47.7%) had public insurance, 31 (23.8%) had private insurance, and 12 (9.2%) had insurance of unknown type. Uninsured victims had lower frequencies of hypertension, hyperlipidemia, and chronic respiratory disease than those with private or public insurance, and lower frequencies of diabetes mellitus, mental illness, and substance abuse than those publicly insured (Table 1). No significant differences were found in coronary artery disease, age, gender, race, marital status, or years of education. Conclusion: Uninsured sudden death victims have less chronic illnesses than those insured. This counterintuitive finding suggests that uninsured sudden death victims have undiagnosed chronic illnesses that are treatable and preventable and contribute to their death. Our results suggest that expanding health insurance among working age adults may reduce the incidence of sudden death.


2002 ◽  
Vol 36 (6) ◽  
pp. 805-811 ◽  
Author(s):  
Sanjiv K. Jain ◽  
Philip W. Pemberton ◽  
Alexander Smith ◽  
Raymond F.T. McMahon ◽  
Peter C. Burrows ◽  
...  

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