Associations between Medicaid enrollment and diagnosis stage and survival among pediatric cancer patients

BACKGROUND

Medicaid-associated disparities in childhood and adolescent (pediatric) cancer diagnosis stage and survival have been reported. However, a key limitation of prior studies is the assessment of health insurance at a single time point. To evaluate Medicaid-associated disparities more robustly, we used Surveillance, Epidemiology, and End Results (SEER)-Medicaid linked data to examine diagnosis stage and survival disparities in those (i) Medicaid-enrolled and (ii) with discontinuous and continuous Medicaid enrollment.

METHODS

SEER-Medicaid linked data from 2006 to 2013 were obtained on cases diagnosed from 0 to 19 years. Medicaid enrollment was classified as enrolled versus not enrolled, with further classifications as continuous when enrolled 6 months before through 6 months after diagnosis, and discontinuous when not enrolled continuously for this period. We used multinomial logistic and Cox proportional hazards regression models to determine associations between enrollment measures, diagnosis stage, and cancer death adjusted for covariates.

RESULTS

Among 21,502 cases, a higher odds of distant stage diagnoses were observed in association with Medicaid enrollment (odds ratio [OR] = 1.56, 95% confidence interval [CI]: 1.48-1.65), with the highest odds for discontinuous enrollment (OR = 2.0, 95% CI: 1.86-2.15). Among 30,654 cases, any Medicaid enrollment, continuous enrollment, and discontinuous enrollment were associated with 1.68 (95% CI: 1.35-2.10), 1.66 (95% CI: 1.35-2.05), and 1.89 (95% CI: 1.54-2.33) times higher hazards of cancer death versus no enrollment, respectively.

CONCLUSIONS

Medicaid enrollment, particularly discontinuous enrollment, is associated with a higher  distant stage diagnosis odds and risk of death. This study supports the critical need for consistent health insurance coverage in children and adolescents.

Investigating the Impact of Tumor Biology and Social Determinants on Time to Diagnosis and Stage at Presentation of Wilms Tumor

Delays in diagnosis and time to diagnosis generally are used interchangeably in cancer disparity research, but these terms may have important differences. Although these terms are related, we hypothesize that time to diagnosis is determined by the aggressiveness of the tumor based on intrinsic factors such as tumor biology, whereas delays in diagnosis are caused by extrinsic factors such as socioeconomic status, leading to presentation at higher stage of disease due to barriers of care. We conducted a retrospective study of 306 patients diagnosed with Wilms tumor at Children's Hospital Colorado between 1971 and 2016 identifying patient barriers as extrinsic markers and using unfavorable histology and loss of heterozygosity as markers of aggressive tumor biology. Multivariable logistic regression was performed. Patients with Medicaid were more likely to present greater than 4 days after initial symptoms compared to those with private insurance, and those with housing concerns were more likely to be diagnosed greater than 9 days from initial symptoms. Tumor biology was noted to be associated with higher stage at diagnosis, but patient barriers were not. These findings suggest the interplay between tumor biology, patient barriers, diagnostic timing, and stage at diagnosis is more complex, multifactorial, and in need of further study.

Disparities in Primary Spinal Osseous Malignant Bone Tumor Survival by Medicaid Status: A National Population-Based Risk Analysis

BACKGROUND

The impact of Medicaid status on survival outcomes of patients with spinal primary malignant bone tumors (sPMBT) has not been investigated.

METHODS

Using the SEER-Medicaid database, adults diagnosed between 2006 and 2013 with sPMBT including chordoma, osteosarcoma, chondrosarcoma, Ewing sarcoma, or malignant giant cell tumor (GCT) were studied. Five-year survival analysis was performed using the Kaplan-Meier method. Adjusted survival analysis was performed using Cox proportional-hazards regression controlling for age, sex, marital status, cancer stage, poverty level, vertebral versus sacral location, geography, rurality, tumor diameter, tumor grade, tumor histology, and therapy.

RESULTS

A total of 572 patients with sPMBT (Medicaid: 59, non-Medicaid: 513) were identified. Medicaid patients were more likely to be younger (P < 0.001), Black (P < 0.001), live in high poverty neighborhoods (P = 0.006), have distant metastases at diagnosis (P < 0.001), and less likely to receive surgery (P = 0.006). The 5-year survival rate was 65.7% (chondrosarcoma: 70.0%, chordoma: 91.5%, Ewing sarcoma: 44.6%, GCT: 90.0%, osteosarcoma: 34.2%). Medicaid patients had significantly worse 5-year survival than non-Medicaid patients (52.0% vs. 67.2%, P = 0.02). Minority individuals on Medicaid were associated with an increased risk of cancer-specific mortality compared with White non-Medicaid patients (adjusted hazard ratio [aHR] = 2.51, [95% CI 1.18-5.35], P = 0.017). Among Medicaid patients, those who received surgery had significantly better survival than those who did not (64.5% vs. 30.6%, P = 0.001). For all patients, not receiving surgery (aHR = 1.90 [1.23-2.95], P = 0.004) and tumor diameter >50 mm (aHR=1.89 [1.10-3.25], P = 0.023) were associated with an increased risk of mortality.

CONCLUSIONS

Medicaid patients may be less likely to receive surgery and suffer from poorer survival. These disparities may be especially prominent among minorities.

Parental Perspectives on Health Care Transition in Adolescent and Young Adult Survivors of Pediatric Cancer

The health care transition (HCT) from pediatric to adult care is pivotal for childhood cancer survivors (CCS) and their parents. However, there is little research examining parental needs during HCT, despite this being a key predictor of successful HCT. The goal of this study was to investigate the needs of parents of CCS during HCT. Using an integrative review of the literature structured around the social-ecological model (SEM) of CCS transition readiness yielded 454 articles, including three hand-searched articles. Six articles were included in the final analysis. Data were extracted into nine factors derived from SEM. Articles were published within the last decade, largely qualitative, and mainly examined parents and CCS together. Parents most frequently mentioned relationships with their practitioner and CCS as contributing to HCT readiness, while abstract factors, such as goal-setting and expectations around HCT, were not mentioned. Our results are limited by the dearth of research on this topic, the homogeneity of samples, and joint presentation of CCS and parent data. Nonetheless, our results indicate that parents do not weigh all aspects of SEM equally, with macrolevel barriers, such as sociodemographic factors being viewed as less salient for HCT readiness. Parents mostly focused on interpersonal factors, such as their relationships with practitioners and CCS, indicating that practitioners should emphasize these in preparing parents for HCT.

Disparities in primary pancreatic adenocarcinoma survival by Medicaid-status: A national population-based risk analysis

BACKGROUND

Pancreatic adenocarcinoma (PAC) has one of the highest mortality rates among all malignancies. While previous research has analyzed socioeconomic factors' effect on PAC survival, outcomes of Medicaid patients are understudied.

METHODS

Using the SEER-Medicaid database, we studied non-elderly, adult patients with primary PAC diagnosed between 2006 and 2013. Five-year disease-specific survival analysis was performed using the Kaplan-Meier method and adjusted analysis using Cox proportional-hazards regression.

RESULTS

Among 15,549 patients (1799 Medicaid, 13,750 non-Medicaid), Medicaid patients were less likely to receive surgery (p < .001) and more likely to be non-White (p < .001). The 5-year survival of non-Medicaid patients (8.13%, 274 days [270-280]) was significantly higher than that of Medicaid patients (4.97%, 152 days, [151-182], p < .001). Among Medicaid patients, those in high poverty areas had significantly lower survival rates (152 days [122-154]) than those in medium poverty areas (182 days [157-213], p = .008). However, non-White (152 days [150-182]) and White Medicaid patients (152 days [150-182]) had similar survival (p = .812). On adjusted analysis, Medicaid patients were still associated with a significantly higher risk of mortality (aHR 1.33 [1.26-1.41], p < .0001) compared to non-Medicaid patients. Unmarried status and rurality were associated with a higher risk of mortality (p < .001).

DISCUSSION

Medicaid enrollment prior to PAC diagnosis was generally associated with a higher risk of disease-specific mortality. While there was no difference in the survival between White and non-White Medicaid patients, Medicaid patients living in high poverty areas were shown to be associated with poor survival.

Health Insurance Coverage and Racial/Ethnic Disparities in U.S. Childhood and Adolescent Cancer Survival

OBJECTIVE

To evaluate potential effect modification by health insurance coverage on racial and ethnic disparities in cancer survival among U.S. children and adolescents.

STUDY DESIGN

Data from 54,558 individuals diagnosed with cancer at ≤ 19 years between 2004 and 2010 were obtained from the National Cancer Database. Cox proportional hazards regression was used for analyses. An interaction term between race/ethnicity and health insurance type was included to examine racial/ethnic disparities in survival by each insurance status category.

RESULTS

Racial/ethnic minorities experienced a 14-42% higher hazard of death compared with non-Hispanic Whites with magnitudes varying by health insurance type (P_interaction < 0.001). Specifically, among those reported as privately insured, the hazard of death was higher for non-Hispanic Blacks (hazard ratio [HR]=1.48, 95% confidence interval [CI]: 1.36-1.62), non-Hispanic American Indian/Alaskan Natives (HR=1.30, 95%CI: 1.13-1.50), non-Hispanic Asians or Pacific Islanders (HR=1.99, 95%CI: 1.36-2.90) and Hispanics (HR=1.28, 95%CI: 1.17-1.40) vs. non-Hispanic Whites. Racial/ethnic disparities in survival among those reported as covered by Medicaid were present for non-Hispanic Blacks (HR=1.30, 95%CI: 1.19-1.43) but no other racial/ethnic minorities (HR ranges: 0.98∼1.00) vs. non-Hispanic Whites. In the uninsured group, the hazard of death for non-Hispanic Blacks (HR=1.68, 95%CI: 1.26-2.23) and Hispanics (HR=1.27, 95%CI: 1.01-1.61) was higher vs. non-Hispanic Whites.

CONCLUSIONS

Disparities in survival exist across insurance types, particularly for non-Hispanic Black childhood and adolescent cancer patients vs. non-Hispanic Whites with private insurance. These findings provide insights for research and policy and point to the need for more efforts on promoting health equity while improving health insurance coverage.

Real-world implications of nonbiological factors with staging, clinical management, and prognostic prediction in pancreatic ductal adenocarcinoma

BACKGROUND

The American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging system focuses on traditional biological factors (BFs). The present study incorporates nonbiological factors (NBFs) into the AJCC-TNM staging system in terms of the advanced clinical management and prognostic-prediction accuracy of pancreatic ductal adenocarcinoma (PDAC).

METHODS

Eight thousand three hundred and thirty eligible patients with PDAC were obtained from Surveillance, Epidemiology, and End Results database between January 1, 2011, and December 31, 2015. Multivariate Cox proportional hazards regression analysis and Kaplan-Meier curves were used to testify the feasibility of cancer-specific survival (CSS) prediction based on TNM-NBF stages.

RESULTS

The large population-based study demonstrated that NBFs (insurance status, marital status, county-level median household income, and unemployment) were significant prognostic indicators (p < 0.005), and multivariate Cox regression analysis demonstrated that the NBF1 stage carried a 29.4% increased risk of cancer-specific mortality than NBF0 stage (p < 0.001). The concordance index of TNM-NBF stage was 0.755 (95% confidence interval: 0.740-0.769).

CONCLUSIONS

The novel NBF stage was independently associated with CSS of PDAC. In addition, combining TNM with the NBF stage could provide better clinical management and prognostic-prediction accuracy.

The impact of health insurance coverage on racial/ethnic disparities in US childhood and adolescent cancer stage at diagnosis

BACKGROUND

Racial/ethnic minority children and adolescents are more likely to have an advanced cancer diagnosis compared with non-Hispanic Whites, which may relate to the lack of consistent health care access. This study aims to describe racial/ethnic disparities in cancer diagnosis stage among children and adolescents and assess whether health insurance mediates these disparities.

METHODS

Data on individuals ≤19 years of age diagnosed with primary cancers from 2007 to 2016 were obtained from the Surveillance, Epidemiology, and End Results 18 database. Prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between race/ethnicity and cancer diagnosis stage were calculated using Poisson regression. Analyses addressing health insurance as a potential mediator were also performed.

RESULTS

Compared with non-Hispanic Whites, racial/ethnic minorities had a higher prevalence of a distant cancer diagnosis, with PRs of 1.31 (95% CI, 1.23-1.40) for non-Hispanic Blacks, 1.14 (95% CI, 1.04-1.24) for non-Hispanic Asian/Pacific Islanders, and 1.15 (95% CI, 1.09-1.21) for Hispanics. These associations were attenuated when adjusting for health insurance, with PRs of 1.24 (95% CI, 1.16-1.33) for non-Hispanic Blacks, 1.11 (95% CI, 1.02-1.21) for non-Hispanic Asian/Pacific Islanders, and 1.07 (95% CI, 1.01-1.13) for Hispanics. Any Medicaid or no insurance at diagnosis mediated 49%, 22%, and 9% of the observed association with distant stage in Hispanics, non-Hispanic Blacks, and non-Hispanic Asian/Pacific Islanders, respectively.

CONCLUSIONS

Disparities in cancer diagnosis stage in racial/ethnic minority children and adolescents may be partially explained by health insurance coverage. Further research is needed to understand the mechanisms.

OUP accepted manuscript

Despite advances toward universal health insurance coverage for children, coverage gaps remain. Using a nationwide sample of pediatric and adolescent cancer patients from the National Cancer Database, we examined effects of the Affordable Care Act (ACA) implementation in 2014 with multinomial logistic regressions to evaluate insurance changes between 2010-2013 (pre-ACA) and 2014-2017 (post-ACA) in patients aged younger than 18 years (n = 63 377). All statistical tests were 2-sided. Following the ACA, the overall percentage of Medicaid and Children’s Health Insurance Program–covered patients increased (from 35.1% to 36.9%; adjusted absolute percentage change [APC] = 2.01 percentage points [ppt], 95% confidence interval [CI] = 1.31 to 2.71; P < .001), partly offset by declined percentage of privately insured (from 62.7% to 61.2%; adjusted APC = −1.67 ppt, 95% CI = −2.37 to −0.97; P < .001), leading to a reduction by 15% in uninsured status (from 2.2% to 1.9%; adjusted APC = −0.34 ppt, 95% CI = −0.56 to −0.12 ppt; P = .003). The largest declines in uninsured status were observed among Hispanic patients (by 23%; adjusted APC = −0.95 ppt, 95% CI = −1.67 to −0.23 ppt; P = .009) and patients residing in low-income areas (by 35%; adjusted APC = −1.22 ppt, 95% CI = −2.22 to −0.21 ppt; P = .02). We showed nationwide insurance gains among pediatric and adolescent cancer patients following ACA implementation, with greater gains in racial and ethnic minorities and those living in low-income areas.

How we coordinate care for uninsured children with nonmalignant hematologic disorders

Providing medical care for uninsured children with nonmalignant hematologic diagnoses presents unique challenges to medical providers and multidisciplinary staff. Financial and psychosocial stressors can hinder optimal care of the uninsured child. Maximizing coverage of medical costs through patient enrollment in state and charity care programs and capitalizing upon community partnerships can help providers achieve comprehensive care for these children. Collaboration between primary care providers, subspecialists, and multidisciplinary teams can be optimized to facilitate provision of hematology care for uninsured children. We detail our experience in establishing these collaborations to improve access to subspecialty care for children with nonmalignant hematologic disorders.