Association of Medicaid Expansion With Insurance Coverage Among Children With Cancer

Impact of surgical compliance on survival prognosis of patients with ovarian cancer and associated influencing factors: A propensity score matching analysis of the SEER database

Purpose

To evaluate the impact of surgical compliance on overall survival (OS) and cancer-specific survival (CSS) in ovarian cancer patients and identify factors influencing surgical compliance.

Materials and methods

Data from patients with ovarian cancer in the SEER database (2004-2015) were analyzed to compare the characteristics of patients with high and low surgical compliance. Kaplan-Meier curves and Cox regression models were used to assess the impact of surgical compliance on survival outcomes. Nomograms incorporating surgical compliance and independent prognostic factors were constructed to predict OS and CSS and were validated using internal validation sets. Predictive accuracy was evaluated using Harrell's concordance index (C-index), decision curve analysis (DCA), receiver operating characteristic (ROC) curves, and calibration plots. Binary logistic regression analysis identified factors significantly affecting surgical compliance, and propensity score matching (PSM) was used to adjust for confounders.

Results

Among the 41,859 patients, 783 (1.87 %) demonstrated poor surgical compliance, while 41,076 (98.13 %) exhibited good compliance. Surgical compliance has emerged as an independent prognostic indicator for ovarian cancer. Patients with high compliance had significantly better OS and CSS rates (P < 0.0001). The prognostic models were internally validated and showed strong discriminative and calibration capabilities. Factors affecting compliance included older age, advanced pathological stage, metastasis, elevated CA-125 levels, and lower income. After PSM, Kaplan-Meier analysis revealed significantly improved survival in patients with good compliance (P < 0.0001).

Conclusion

Surgical compliance is a pivotal and independent predictor of overall and cancer-specific survival in patients undergoing OC. Factors contributing to lower surgical compliance include advanced age, later tumor stage, metastatic spread, elevated CA-125 levels, and reduced family income.

Association of state Medicaid expansion policies with pediatric liver transplant outcomes

Children from minoritized/socioeconomically deprived backgrounds suffer disproportionately high rates of uninsurance and graft failure/death after liver transplant. Medicaid expansion was developed to expand access to public insurance. Our objective was to characterize the impact of Medicaid expansion policies on long-term graft/patient survival after pediatric liver transplantation. All pediatric patients (<19 years) who received a liver transplant between January 1, 2005, and December 31, 2020 in the US were identified in the Scientific Registry of Transplant Recipients (N = 8489). Medicaid expansion was modeled as a time-varying exposure based on transplant and expansion dates. We used Cox proportional hazards models to evaluate the impact of Medicaid expansion on a composite outcome of graft failure/death over 10 years. As a sensitivity analysis, we conducted an intention-to-treat analysis from time of waitlisting to death (N = 1 1901). In multivariable analysis, Medicaid expansion was associated with a 30% decreased hazard of graft failure/death (hazard ratio, 0.70; 95% confidence interval, 0.62, 0.79; P < .001) after adjusting for Black race, public insurance, neighborhood deprivation, and living in a primary care shortage area. In intention-to-treat analyses, Medicaid expansion was associated with a 72% decreased hazard of patient death (hazard ratio, 0.28; 95% confidence interval, 0.23-0.35; P < .001). Policies that enable broader health insurance access may help improve outcomes and reduce disparities for children undergoing liver transplantation.

The association of Medicaid expansion and pediatric cancer overall survival

Medicaid eligibility expansion, though not directly applicable to children, has been associated with improved access to care in children with cancer, but associations with overall survival are unknown. Data for children ages 0 to 14 years diagnosed with cancer from 2011 to 2018 were queried from central cancer registries data covering cancer diagnoses from 40 states as part of the Centers for Disease Control and Prevention's National Program of Cancer Registries. Difference-in-differences analyses were used to compare changes in 2-year survival from 2011-2013 to 2015-2018 in Medicaid expansion relative to nonexpansion states. In adjusted analyses, there was a 1.50 percentage point (95% confidence interval = 0.37 to 2.64) increase in 2-year overall survival after 2014 in expansion relative to nonexpansion states, particularly for those living in the lowest county income quartile (difference-in-differences  = 5.12 percentage point, 95% confidence interval = 2.59 to 7.65). Medicaid expansion may improve cancer outcomes for children with cancer.

Medicaid and the Children's Health Insurance Program: an overview for the pediatric radiologist

In terms of number of beneficiaries, Medicaid is the single largest health insurance program in the US. Along with the Children's Health Insurance Program (CHIP), Medicaid covers nearly half of all births and provides health insurance to nearly half of the children in the country. This article provides a broad introduction to Medicaid and CHIP for the pediatric radiologist with a special focus on topics relevant to pediatric imaging and population health. This includes an overview of Medicaid's structure and eligibility criteria and how it differs from Medicare. The paper examines the means-tested programs within the context of pediatric radiology, reviewing pertinent topics such as the rise of Medicaid managed care plans, Medicaid expansion, the effects of Medicaid on child health, and COVID-19. Beyond the basics of benefits coverage, pediatric radiologists should understand how Medicaid and CHIP financing and reimbursement affect the ability of pediatric practices, radiology groups, and hospitals to provide services for children in a sustainable manner. The paper concludes with an analysis of future opportunities for Medicaid and CHIP.

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.

Association of Medicaid Expansion With Cancer Stage and Disparities in Newly Diagnosed Young Adults

BACKGROUND

Young adults (YAs) experience higher uninsurance rates and more advanced stage at cancer diagnosis than older counterparts. We examined the association of the Affordable Care Act Medicaid expansion with insurance coverage and stage at diagnosis among YAs newly diagnosed with cancer.

METHODS

Using the National Cancer Database, we identified 309 413 YAs aged 18-39 years who received a first cancer diagnosis in 2011-2016. Outcomes included percentages of YAs without health insurance at diagnosis, with stage I (early-stage) diagnoses, and with stage IV (advanced-stage) diagnoses. We conducted difference-in-difference (DD) analyses to examine outcomes before and after states implemented Medicaid expansion compared with nonexpansion states. All statistical tests were 2-sided.

RESULTS

The percentage of uninsured YAs decreased more in expansion than nonexpansion states (adjusted DD = -1.0 percentage points [ppt], 95% confidence interval [CI] = -1.4 to -0.7 ppt, P < .001). The overall percentage of stage I diagnoses increased (adjusted DD = 1.4 ppt, 95% CI = 0.6 to 2.2 ppt, P < .001) in expansion compared with nonexpansion states, with greater improvement among YAs in rural areas (adjusted DD = 7.2 ppt, 95% CI = 0.2 to 14.3 ppt, P = .045) than metropolitan areas (adjusted DD = 1.3 ppt, 95% CI = 0.4 to 2.2 ppt, P = .004) and among non-Hispanic Black patients (adjusted DD = 2.2 ppt, 95% CI = -0.03 to 4.4 ppt, P = .05) than non-Hispanic White patients (adjusted DD = 1.4 ppt, 95% CI = 0.4 to 2.3 ppt, P = .008). Despite the non-statistically significant change in stage IV diagnoses overall, the percentage declined more (adjusted DD = -1.2 ppt, 95% CI = -2.2 to -0.2 ppt, P = .02) among melanoma patients in expansion relative to nonexpansion states.

CONCLUSIONS

We provide the first evidence, to our knowledge, on the association of Medicaid expansion with shifts to early-stage cancer at diagnosis and a narrowing of rural-urban and Black-White disparities in YA cancer patients.

Understanding the Implications of Medicaid Expansion for Cancer Care in the US: A Review

Importance

Insurance status has been linked to important differences in cancer treatment and outcomes in the US. With more than 15 million individuals gaining health insurance through Medicaid expansion, there is an increasing need to understand the implications of this policy within the US cancer population. This review provides an overview of the fundamental principles and nuances of Medicaid expansion, as well as the implications for cancer care.

Observations

The Patient Protection and Affordable Care Act presented states with an option to expand Medicaid coverage by broadening the eligibility criteria (eg, raising the eligible income level). During the past 10 years, Medicaid expansion has been credited with a 30% reduction in the population of uninsured individuals in the US. Such a significant change in the insurance profile could have important implications for the 1.7 million patients diagnosed with cancer each year, the oncology teams that care for them, and policy makers. However, several factors may complicate efforts to characterize the effect of Medicaid expansion on the US cancer population. Most notably, there is considerable variation among states in terms of whether Medicaid expansion took place, when expansion occurred, eligibility criteria for Medicaid, and coverage types that Medicaid provides. In addition, economic and health policy factors may be intertwined with factors associated with Medicaid expansion. Finally, variability in the manner in which cancer care has been captured and depicted in large databases could affect the interpretation of findings associated with expansion.

Conclusions and Relevance

The expansion of Medicaid was a historic public policy initiative. To fully leverage this policy to improve oncological care and to maximize learning for subsequent policies, it is critical to understand the effect of Medicaid expansion. This review aims to better prepare investigators and their audiences to fully understand the implications of this important health policy initiative.

Sociodemographic and hospital-based predictors of intense end-of-life care among children, adolescents, and young adults with hematologic malignancies

BACKGROUND

Children, adolescents, and young adults with hematologic malignancies tend to receive high-intensity end-of-life care (HI-EOLC), but sociodemographic and hospital-based predictors of HI-EOLC remain unclear.

METHODS

The authors conducted a population-based, retrospective cohort study with the Premier Healthcare Database. They identified individuals with hematologic malignancies who were 0 to 39 years old at death and died between 2010 and 2017. HI-EOLC was defined as experiencing 2 or more of the following: cardiopulmonary resuscitation, intravenous chemotherapy, hemodialysis, mechanical ventilation, tracheostomy placement, or an emergency department visit within the last 30 days of life and death in the intensive care unit. Multivariable logistic regression models were constructed to identify patient sociodemographic and hospital characteristics associated with HI-EOLC.

RESULTS

Among 1454 decedents, more than half (55%) experienced HI-EOLC. In multivariable models, patients treated in medium (adjusted odds ratio [aOR], 1.63; 95% confidence interval [CI], 1.07-2.50) or large hospitals (aOR, 2.21; 95% CI, 1.45-3.39), insured by Medicaid (aOR, 1.40 ; 95% CI, 1.09-2.06), or receiving cancer-directed treatment in the Northeast (aOR, 1.50; 95% CI, 1.05-2.15) were more likely to receive HI-EOLC.

CONCLUSIONS

A majority of children, adolescents, and young adults with hematologic malignancies experienced HI-EOLC, and the likelihood of HI-EOLC was influenced by the hospital size, type of insurance, and geographic region. Further research is needed to determine how to mitigate these risks.

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.

Survival in Pediatric, Adolescent, and Young Adult Patients With Sarcoma in the Military Health System: Comparison With the SEER Population

BACKGROUND

We sought to compare survival outcomes of sarcomas in the pediatric and adolescent/young adult populations with universal care access in the Military Health System (MHS) to those from the United States general population.

METHODS

We compared data from the Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR) and the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program on the overall survival of patients 24 years or younger with histologically or microscopically confirmed sarcoma between diagnosed between January 1, 1987, and December 31, 2013. The Kaplan-Meier survival curves were used to compare survival between the 2 patient populations. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) comparing ACTUR relative to SEER.

RESULTS

The final analysis included 309 and 1236 bone sarcoma cases and 465 and 1860 soft tissue sarcoma cases from ACTUR and SEER, respectively. Cox proportional hazards analysis showed soft tissue sarcoma patients in ACTUR had significantly better overall (HR=0.73, 95% CI=0.55-0.98) and 5-year overall (HR=0.63, 95% CI=0.46-0.86) survival compared with SEER patients, but no significant difference in overall or 5-year overall survival between ACTUR and SEER patients with bone sarcoma.

CONCLUSION

Survival data from the ACTUR database demonstrated significantly improved overall survival for soft tissue sarcomas and equivalent survival in bone sarcomas compared with that reported by SEER.

Role of physician density in predicting stage and survival for head and neck squamous cell carcinoma

BACKGROUND

Identifying and linking barriers to access to head and neck cancer care, specifically provider density, to stage of diagnosis and survival outcomes is important to serve as a foundation for policy interventions.

METHODS

Retrospective cohort study using patients with head and neck squamous cell (HNSCC) in the Surveillance, Epidemiology, and End Results (SEER) database from 2007 to 2016 and Area Resource File. Primary outcomes included stage of presentation and cancer-specific 5-year survival and relation to provider density.

RESULTS

The initial cohort consisted of 18 342 patients with oral cavity, 21 809 oropharyngeal, 15 860 laryngeal, and 2887 patients with hypopharyngeal malignancy. Non-Hispanic Black race and being uninsured increased the odds of presenting with advanced stage HNSCC and increased hazard of death. There was no significant and consistent association identified between Health Service Areas provider density and advanced stage at diagnosis or cancer-specific 5-year mortality.

CONCLUSIONS

Provider density of otolaryngologists and primary care physicians and dentists was not significantly associated with stage of presentation or cancer-specific survival for HNSCC while race and insurance status remained independent predictors for worse outcomes.