Association Between Race/Ethnicity and Insurance Status with Outcomes in Patients with Hepatocellular Carcinoma.
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ABSTRACT: Background
Racial/ethnic disparities in prognosis have been reported in patients with hepatocellular carcinoma (HCC); however, few studies have evaluated racial/ethnic disparities in the context of insurance status.Aims
Characterize racial/ethnic and insurance status in early tumor detection, receipt of curative therapy and overall survival in a multicenter diverse cohort of HCC patients from the USA.Study
We included patients with HCC diagnosed between June 2012 and May 2013 at four centers in the USA. Generalized linear mixed effects models were used to compare early tumor detection (defined using Milan Criteria) and curative treatment receipt (liver transplantation, surgical resection, or local ablation) as a function of patient race/ethnicity and insurance status. A multivariable frailty survival model was used to compare risk of death between patient groups.Results
Of 379 HCC patients (52.8% non-Hispanic White, 19.5% Hispanic White, 19.8% Black), 46.4% and 48.0% were found at an early stage and underwent curative therapy, respectively, and median overall survival of the cohort was 25.7 months. Early detection of HCC was associated with gastroenterology subspecialty care and receipt of HCC surveillance but not race/ethnicity or insurance status in adjusted models. However, commercial insurance was significantly associated with higher odds of curative treatment receipt, which in turn was the strongest correlate for overall survival. After adjusting for health system and insurance status, race/ethnicity was not associated with curative treatment receipt or overall survival.Conclusions
Insurance status and access to gastroenterology subspecialty care may be important drivers of racial/ethnic disparities in prognosis among HCC patients.
SUBMITTER: Scaglione S
PROVIDER: S-EPMC7603399 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Cervical cancer outcomes remain poor among disadvantaged populations, including ethnic minorities, low-income, and underinsured women. The aim of this study was to evaluate the mechanisms that underlie the observed association between race/ethnicity and cervical cancer survival. We identified 13,698 women, ages 21 to 64 years, diagnosed with stages I-III primary cervical cancer between 2007-2013 in Surveillance, Epidemiology, and End Results (SEER). Multivariable Cox proportional hazards regression models evaluated associations between race/ethnicity (Non-Hispanic White, Non-Hispanic Black, Hispanic, Other) and cervical cancer-specific mortality. We conducted mediation analysis to calculate the mediation proportion and its 95% confidence interval. Non-Hispanic black women had an increased risk of cervical cancer-specific mortality (HR: 1.23, 95% CI: 1.08-1.39), and Hispanic women a decreased risk of dying from their disease (HR: 0.82, 95% CI: 0.72-0.93), compared with non-Hispanic white. The estimated proportion of excess cervical cancer mortality for non-Hispanic black women relative to non-Hispanic white women that was mediated by insurance was 18.6% and by treatment was 47.2%. Furthermore, non-Hispanic black women were more likely to receive radiation and less likely to receive surgery for early-stage disease. In this population-based study we found that some of the excess cervical cancer-specific mortality for non-Hispanic black women is mediated by factors such as insurance status and treatment. These findings suggest that enhancing existing insurance coverage and ensuring equal and adequate treatment in all women may be a key strategy for improving cervical cancer outcomes.
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Project description:Background and aimThe incidence of hepatocellular carcinoma (HCC) has risen considerably in the US since 1980. The main causes include metabolic disorders (NAFLD, diabetes, obesity, metabolic syndrome), alcohol-related disease (ALD) and hepatitis C and B virus infections (HCV, HBV). Etiology-specific HCC incidence rates by detailed race-ethnicity are needed to improve HCC control and prevention efforts.MethodsAll HCC cases diagnosed in Florida during 2014-2015 were linked to statewide hospital discharge data to determine etiology. Age-specific and age-adjusted rates were used to assess the intersection between etiology and detailed racial-ethnicities, including White, African American, Afro-Caribbean, Asian, Cuban, Puerto Rican and Continental Hispanic (Mexican, South and Central American).ResultsOf 3666 HCC cases, 2594 matched with discharge data. HCV was the leading cause of HCC among men and women (50% and 43% respectively), followed by metabolic disorders (25% and 37%) and ALD (16% and 9%). Puerto Rican and African American men had the highest HCV-HCC rates, 7.9 and 6.3 per 100 000 respectively. Age-specific rates for HCV-HCC peaked among baby boomers (those born in 1945-1965). Metabolic-HCC rates were highest among populations above age 70 and among Continental Hispanics. Afro-Caribbean men had high rates of HBV-HCC, whereas Puerto Rican men had high ALD-HCC.ConclusionsHCC etiology is associated with specific race/ethnicity. While HCV-related HCC rates are projected to decrease soon, HCC will continue to affect Hispanics disproportionately, based on higher rates of metabolic-HCC (and ALD-HCC) among Continental Hispanics, who demographically represent 80% of all US Hispanics. Multifaceted approaches for HCC control and prevention are needed.
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Project description:BackgroundRacial/ethnic minorities are more likely than non-Hispanic whites (NHW) to be diagnosed with advanced stage hepatocellular carcinoma (HCC). We examined the role of neighborhood disadvantage as a mediator of the association between race/ethnicity and HCC stage at diagnosis.MethodsWe used data from HCC cases diagnosed in Texas from 2007 to 2015. HCC cases were classified as local versus regional/advanced stage. A mediation model approach was used to estimate the average direct effect, average mediated (indirect) effect, total effect, and proportion mediated by the Area Deprivation Index (ADI), a composite measure of disadvantage.Results7,622 had local while 6303 had regional/advanced HCC. 46.1% of cases were NHW, 15.0% non-Hispanic Black (NHB), and 38.9% Hispanic. NHBs were less likely than NHWs to be diagnosed with local stage HCC [total effect RR, 0.921; 95% confidence interval (95% CI), 0.898-0.947]; however, only 2.26% of this effect was mediated through ADI. Conversely, Hispanics were more likely than NHWs to be diagnosed with local stage HCC (total effect RR, 1.019; 95% CI, 1.001-1.037) and ADI mediated 12.56% of the effect of race/ethnicity on HCC stage. ADI was not associated with HCC stage and therefore was not a mediator of the association with HCC stage when we compared Hispanics with NHBs.ConclusionsNeighborhood socioeconomic disadvantage may explain/mediate some of the association between race/ethnicity and HCC stage; however, the mediating effect was not uniform across populations.ImpactFor NHBs, other individual and neighborhood level factors, not reflected in the ADI, contribute to their lower likelihood of being diagnosed with local HCC. See related commentary by Lazo et al., p. 1254.
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Project description:BackgroundThe effect of socioeconomic status (SES) on hepatocellular carcinoma (HCC) is still unclear, and there is no nomogram integrated SES and clinicopathological factors to predict the prognosis of HCC. This research aims to confirm the effects of SES on predicting patients' survival and to establish a nomogram to predict the prognosis of HCC.MethodsThe data of HCC patients were collected from the Surveillance, Epidemiology, and Final Results (SEER) database from 2011 to 2015. SES (age at diagnosis, race and sex, median family income, education level, insurance status, marital status, residence, cost of living index, poverty rate) and clinicopathological factors were included in univariate and multivariate Cox regression analysis. Nomograms for predicting 1-, 3-, and 5-year cancer-specific survival (CSS) and overall survival (OS) were established and evaluated by the concordance index (C-index), the receiver operating characteristic curve (ROC), the calibration plot, the integrated discrimination improvement (IDI), and the net reclassification improvement (NRI).ResultsA total of 33,670 diagnosed HCC patients were involved, and nomograms consisting of 19 variables were established. The C-indexes of the nomograms are higher than TNM staging system, which predicts the CSS (0.789 vs. 0.692, p < 0.01) and OS (0.777 vs. 0.675, p < 0.01). The ROC curve, calibration diagram, IDI, and NRI showed the improved prognostic value in 1-, 3-, and 5-year survival rates.ConclusionSES plays an important role in the prognosis of HCC patients. Therefore, policymakers can make more precise and socially approved policies to improve HCC patients' CSS and OS.
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Project description:ImportanceWhile the Affordable Care Act (ACA) set out to eliminate insurer discrimination based on preexisting conditions, the ACA health exchanges allow insurers to select what markets to enter and afford them great freedom on how they design their physician networks. Strategic market participation and physician network design based on population race, ethnicity, and health characteristics may give rise to a present-day form of redlining within health insurance markets-ie, a systematic underprovision of insurance plans and in-network practitioners within areas that are populated with higher proportions of non-Hispanic Black residents.ObjectiveTo examine if markets with relatively higher non-Hispanic Black populations have systematically fewer insurers and lower network inclusion of physicians residing within these areas.Design, setting, and participantsThis cohort study conducted a regression analysis of the US ACA health insurance exchange marketplace across 34 states with federal exchanges and physicians located within the 500 most populous US cities in 2014. County-level data were sourced from individual market and issuer enrollment databases and county health rankings; census tract data came from a national database of physician networks in 2014 marketplace plans, US Census Bureau data, and the Centers for Disease Control and Prevention's PLACES database. Adjustment was made for a rich set of county (or census tract) controls and state fixed effects to capture broad market and/or policy differences across states. Analyses were performed in June 2021.Main outcomes and measuresThe raw count of insurers within a county and the mean percentage of insurance networks that physicians participate in within each census tract.ResultsA total of 2270 counties were examined within our first analyses. In the counties analyzed, a mean (SD) of 23.0% (3.2%) of the population was aged 18 years or younger, and a mean (SD) of 11.0% (15.8%) of the population had non-Hispanic Black race and ethnicity. For the second analysis, 16 006 to 25 096 census tracts were examined (depending on physician specialty). With adjustment for population size, age, and race and ethnicity, a 1-SD increase in the county non-Hispanic Black population was associated with a 14.1% reduction in the number of insurers (mean [SE] marginal effect size, -2.18 [0.13]; P < .001). Accounting for additional county-level risk selection controls and state fixed effects, a 1-SD increase in the non-Hispanic Black population was associated with a 2.3% reduction in available insurers (marginal effect size, -0.36 [0.17]; P = .04). For practitioners network breadth inclusion, a 1-SD increase in the non-Hispanic Black population was associated with a 15.8% (marginal effect size, -0.32 [0.01]; P < .001) to 24.7% (marginal effect size, -0.14 [0.02]; P < .001) reduction in the physicians' network participation depending on their specialty. Adjusting for additional state fixed effects yielded estimates of 6% (marginal effect size, -0.08 [0.01]; P < .001) to 13.5% (marginal effect size, -0.12 [0.02]; P < .001) reductions in practitioner network participation.Conclusions and relevanceThese findings suggest that strategic decisions by insurers may contribute toward markets with higher racial or ethnic minority populations having systematically fewer participating insurers, as well as a higher prevalence of local physicians not included in coverage networks. These findings call for further examination of potential insurance redlining within the ACA marketplaces.
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Project description:BackgroundHealthcare disparities are well documented across multiple subspecialties in orthopaedics. The widespread implementation of telemedicine risks worsening these disparities if not carefully executed, despite original assumptions that telemedicine improves overall access to care. Telemedicine also poses unique challenges such as potential language or technological barriers that may alter previously described patterns in orthopaedic disparities.Questions/purposesAre the proportions of patients who use telemedicine across orthopaedic services different among (1) racial and ethnic minorities, (2) non-English speakers, and (3) patients insured through Medicaid during a 10-week period after the implementation of telemedicine in our healthcare system compared with in-person visits during a similar time period in 2019?MethodsThis was a retrospective comparative study using electronic medical record data to compare new patients establishing orthopaedic care via outpatient telemedicine at two academic urban medical centers between March 2020 and May 2020 with new orthopaedic patients during the same 10-week period in 2019. A total of 11,056 patients were included for analysis, with 1760 in the virtual group and 9296 in the control group. Unadjusted analyses demonstrated patients in the virtual group were younger (median age 57 years versus 59 years; p < 0.001), but there were no differences with regard to gender (56% female versus 56% female; p = 0.66). We used self-reported race or ethnicity as our primary independent variable, with primary language and insurance status considered secondarily. Unadjusted and multivariable adjusted analyses were performed for our primary and secondary predictors using logistic regression. We also assessed interactions between race or ethnicity, primary language, and insurance type.ResultsAfter adjusting for age, gender, subspecialty, insurance, and median household income, we found that patients who were Hispanic (odds ratio 0.59 [95% confidence interval 0.39 to 0.91]; p = 0.02) or Asian were less likely (OR 0.73 [95% CI 0.53 to 0.99]; p = 0.04) to be seen through telemedicine than were patients who were white. After controlling for confounding variables, we also found that speakers of languages other than English or Spanish were less likely to have a telemedicine visit than were people whose primary language was English (OR 0.34 [95% CI 0.18 to 0.65]; p = 0.001), and that patients insured through Medicaid were less likely to be seen via telemedicine than were patients who were privately insured (OR 0.83 [95% CI 0.69 to 0.98]; p = 0.03).ConclusionDespite initial promises that telemedicine would help to bridge gaps in healthcare, our results demonstrate disparities in orthopaedic telemedicine use based on race or ethnicity, language, and insurance type. The telemedicine group was slightly younger, which we do not believe undermines the findings. As healthcare moves toward increased telemedicine use, we suggest several approaches to ensure that patients of certain racial, ethnic, or language groups do not experience disparate barriers to care. These might include individual patient- or provider-level approaches like expanded telemedicine schedules to accommodate weekends and evenings, institutional investment in culturally conscious outreach materials such as advertisements on community transport systems, or government-level provisions such as reimbursement for telephone-only encounters.Level of evidenceLevel III, therapeutic study.
| S-EPMC8208394 | biostudies-literature
Project description:BACKGROUND:Stable health insurance is often associated with better chronic disease care and outcomes. Racial/ethnic health disparities in outcomes are prevalent and may be associated with insurance instability, particularly in the context of health insurance reform. METHODS:We examined whether insurance instability was associated with uncontrolled blood pressure (UBP) and whether this association varied by race/ethnicity. We used a retrospective longitudinal observational cohort study of patients diagnosed with hypertension who obtained care within two health systems in Massachusetts. We measured the UBP, insurance instability, and race of 43,785 adult primary care patients, age 21-64 with visits from 1/2005-12/2013. RESULTS:We found higher rates of UBP for blacks and Hispanics at each time point over the entire 9 years. Insurance instability was associated with greater rates of UBP. Always uninsured black patients fared worst, while white and Hispanic patients with consistent public insurance fared best. CONCLUSIONS:Stable insurance of any type was associated with better hypertension control than no or unstable insurance.
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Project description:ImportanceApproximately 10% to 30% of patients with sarcoma present with detectable metastases at diagnosis. However, the extent to which presentation with metastases is due to delayed diagnosis vs other factors remains unclear.ObjectiveTo evaluate whether socioeconomic status, insurance status, or race/ethnicity were associated with the presence of metastases at diagnosis of sarcoma.Design, setting, and participantsThis cross-sectional study used data from the population-based Surveillance, Epidemiology, and End Results program. Adult and pediatric patients with an initial diagnosis of soft-tissue and bone sarcoma between 2001 and 2015 were stratified by age group (pediatric, <20 years; adult, 20-65 years; older adult, >65 years) and sarcoma subtype. Statistical analyses were performed between August 2019 and January 2020.ExposuresSurveillance, Epidemiology, and End Results Census tract-level socioeconomic status index, insurance status, and race/ethnicity.Main outcomes and measuresThe odds of presenting with metastases at diagnosis were calculated.ResultsA total of 47 337 patients with first primary malignant sarcoma were included (24 343 male patients [51.4%]), with 29 975 non-Hispanic White patients (63.3%), 5673 non-Hispanic Black patients (12.0%), 7504 Hispanic patients (15.8%), and 4185 American Indian-Alaskan Native and Asian Pacific Islander patients (8.8%). Liposarcoma in adults was the only subtype and age group combination that demonstrated a significant trend in incidence across socioeconomic status levels (odds ratio, 0.85; 99% CI, 0.76-0.96; P = .001). However, compared with having non-Medicaid insurance, having Medicaid or no insurance in adults was associated with an increased odds of metastases at diagnosis for 6 of the 8 sarcoma subtypes evaluated; osteosarcoma and Ewing sarcoma were the only 2 subtypes in adults for which metastases were not associated with insurance status. In addition, there was an increased risk of presenting with metastases among non-Hispanic Black adults diagnosed with leiomyosarcoma (odds ratio, 1.87; 99% CI, 1.41-2.48) and unclassified sarcomas (odds ratio, 1.65; 99% CI, 1.01-2.67) compared with non-Hispanic White adults that was independent of socioeconomic and insurance status.Conclusions and relevanceThese findings suggest that delayed access to care is associated with advanced stage at diagnosis for several soft-tissue sarcoma subtypes in adults, whereas other factors may be associated with the metastatic progression of osteosarcoma and Ewing sarcoma, as well as the racial disparities observed with metastatic leiomyosarcoma and unclassified sarcomas.
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Project description:BackgroundLack of health insurance is associated with adverse clinical outcomes; however, the association between health insurance status and in-hospital outcomes after out-of-hospital ventricular fibrillation (OHVFA) arrest is unclear.HypothesisLack of health insurance is associated with worse in-hospital outcomes after out-of-hospital ventricular fibrillation arrest.MethodsFrom January 2003 to December 2014, hospitalizations with a primary diagnosis of OHVFA in patients ≥18 years of age were extracted from the Nationwide Inpatient Sample. Patients were categorized into insured and uninsured groups based on their documented health insurance status. Study outcome measures were in-hospital mortality, utilization of implantable cardioverter defibrillator (ICD), and cost of hospitalization. Inverse probability weighting adjusted binary logistic regression was performed to identify independent predictors of in-hospital mortality and ICD utilization and linear regression was performed to identify independent predictors of cost of hospitalization.ResultsOf 188 946 patients included in the final analyses, 178 005 (94.2%) patients were insured and 10 941 (5.8%) patients were uninsured. Unadjusted in-hospital mortality was higher (61.7% vs. 54.7%, p < .001) and ICD utilization was lower (15.3% vs. 18.3%, p < .001) in the uninsured patients. Lack of health insurance was independently associated with higher in-hospital mortality (O.R = 1.53, 95% C.I. [1.46-1.61]; p < .001) and lower utilization of ICD (O.R = 0.84, 95% C.I [0.79-0.90], p < .001). Cost of hospitalization was significantly higher in uninsured patients (median [interquartile range], p-value) ($) (39 650 [18 034-93 399] vs. 35 965 [14 568.50-96 163], p < .001).ConclusionLack of health insurance is associated with higher in-hospital mortality, lower utilization of ICD and higher cost of hospitalization after OHVFA.
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