Effect of Medicaid expansion on cancer treatment and survival among Medicaid beneficiaries and the uninsured.

BACKGROUND: The Affordable Care Act expanded Medicaid coverage for people with low income in the United States. Expanded insurance coverage could promote more timely access to cancer treatment, which could improve overall survival (OS), yet the long-term effects of Medicaid expansion (ME) remain unknown. We evaluated whether ME was associated with improved timely treatment initiation (TTI) and 3-year OS among patients with breast, cervical, colon, and lung cancers who were affected by the policy. METHODS: Medicaid-insured or uninsured patients aged 40-64 with stage I-III breast, cervical, colon, or non-small cell lung cancer within the National Cancer Database (NCDB). A difference-in-differences (DID) approach was used to compare changes in TTI (within 60 days) and 3-year OS between patients in ME states versus nonexpansion (NE) states before (2010-2013) and after (2015-2018) ME. Adjusted DID estimates for TTI and 3-year OS were calculated using multivariable linear regression and Cox proportional hazards regression models, respectively. RESULTS: ME was associated with a relative increase in TTI within 60 days for breast (DID = 4.6; p < 0.001), cervical (DID = 5.0 p = 0.013), and colon (DID = 4.0, p = 0.008), but not lung cancer (p = 0.505). In Cox regression analysis, ME was associated with improved 3-year OS for breast (DID hazard ratio [HR] = 0.82, p = 0.009), cervical (DID-HR = 0.81, p = 0.048), and lung (DID-HR = 0.87, p = 0.003). Changes in 3-year OS for colon cancer were not statistically different between ME and NE states (DID-HR, 0.77; p = 0.075). CONCLUSIONS: Findings suggest that expanded insurance coverage can improve treatment and survival outcomes among low income and uninsured patients with cancer. As the debate surrounding ME continues nationwide, our findings serve as valuable insights to inform the development of policies aimed at fostering accessible and affordable healthcare for all.

Who, where, when: Colorectal cancer disparities by race and ethnicity, subsite, and stage.

BACKGROUND: There are well-established disparities in colorectal cancer (CRC) outcomes between White and Black patients; however, assessments of CRC disparities for other racial/ethnic groups are limited. METHODS: The Surveillance, Epidemiology, and End Results database identified patients aged 50-74 years with CRC adenocarcinoma from 2000 to 2019. Trends in age-adjusted incidence rates were computed by stage at diagnosis and subsite across five broad race/ethnic groups (White, Black, Asian/Pacific Islander [API], American Indian/Alaskan Native [AIAN], and Hispanic) and four API subgroups (East Asian, Southeast Asian, South Asian, and Pacific Islander) Multivariable logistic regression evaluated associations between race/ethnicity and diagnosis stage. Multivariable Cox proportional hazards models assessed differences in cause-specific survival (CSS). RESULTS: Hispanic, AIAN, Southeast Asian, Pacific Islander, and Black patients were 3% to 28% more likely than Whites to be diagnosed with distant stage CRC, whereas East Asian and South Asians had similar or lower risk of distant stage CRC. From Cox regression analysis, Black, AIAN, and Pacific Islanders also experienced worse CSS, while East Asian and South Asian patient groups experienced better CSS. No significant differences in CSS were observed among Hispanic, Southeast Asian, and White patients. When stratified by stage, Black patients had worse CSS across all stages (early, hazard ratio (HR) = 1.38; regional, HR = 1.22; distant, HR: 1.07, p < 0.05 for all). CONCLUSION: Despite advances in CRC screening, treatment and early detection efforts, marked racial/ethnic disparities in incidence, stage at diagnosis, and survival persist. Findings demonstrate the extent to which aggregating heterogenous populations masks significant variability in CRC outcomes within race/ethnic subgroups.

Factors associated with hospitalizations for co-occurring HIV and opioid-related diagnoses: Evidence from the national inpatient sample, 2009-2017.

There has been evidence of rising HIV incidence attributable to opioid misuse within some areas of the U.S. The purpose of our study was to explore national trends in co-occurring HIV and opioid-related hospitalizations and to identify their risk factors. We used the 2009-2017 National Inpatient Sample to indicate hospitalizations with co-occurring HIV and opioid misuse diagnoses. We estimated the frequency of such hospitalizations per year. We fitted a linear regression to the annual HIV-opioid co-occurrences with year as a predictor. The resulting regression did not reveal any significant temporal changes. We used multivariable logistic regression to determine the adjusted odds (AOR) of hospitalization for co-occurring HIV and opioid-related diagnoses. The odds of hospitalization were lower for rural residents (AOR = 0.28; CI = 0.24-0.32) than urban. Females (AOR = 0.95, CI = 0.89-0.99) had lower odds of hospitalization than males. Patients identifying as White (AOR = 1.23, CI = 1.00-1.50) and Black (AOR = 1.27, CI = 1.02-1.57) had higher odds of hospitalization than other races. When compared to co-occuring hospitalizations in the Midwest, the odds were higher in the Northeast. (AOR = 2.56, CI = 2.07-3.17) Future research should explore the extent to which similar findings occur in the context of mortality and targeted interventions should intesify for subpopulations at highest risk of co-occuring HIV and opioid misuse diagnoses.

Medicaid Expansion and Postoperative Mortality in Women with Gynecologic Cancer: A Difference-in-Difference Analysis.

BACKGROUND: The association between Medicaid expansion and postoperative mortality after surgery for gynecologic cancer is unknown. Our objective was to compare 30- and 90-day postoperative mortality after gynecologic cancer surgery before and after 2014 in states that did and did not expand Medicaid. METHODS: We searched the National Cancer Database for women aged 40-64 years old between 2010 and 2016 who underwent surgery for a primary gynecologic malignancy. We used pre/post and quasi-experimental difference-in-difference (DID) multivariable logistic regressions to evaluate mortality pre-2014 (2010-2013) and post-2014 (2014-2016) for states that did and did not expand Medicaid in January 2014. We completed univariable logistic regressions for covariates of interest. RESULTS: Among 169,731 women, 30-day postoperative mortality in expansion states after 2014 significantly decreased for endometrial cancer (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.26-0.67) and ovarian cancer (OR 0.67, 95% CI 0.46-0.99) and increased for cervical cancer (OR 3.82, 95% CI 1.12-13.01). Compared with non-expansion states, expansion states had improved 30-day postoperative mortality for endometrial cancer after 2014 (DID OR 0.54, 95% CI 0.31-0.96). Univariable analysis demonstrated improved 30-day postoperative mortality for Black women with endometrial cancer in expansion states (DID OR 0.22, 95% CI 0.05-0.95). There was improved 90-day postoperative mortality for endometrial cancer in expansion states (OR 0.66, 95% CI 0.50-0.85), and improved 90-day postoperative mortality for Midwestern women with ovarian cancer in expansion states on univariable analysis (DID OR 0.48, 95% CI 0.26-0.91). CONCLUSIONS: State Medicaid legislation was associated with improved postoperative survival in women with endometrial cancer and subgroups of women with endometrial and ovarian cancer.

Racial and Ethnic Trends and Disparities in NSCLC.

Introduction: Detailed evaluations of racial and ethnic trends and disparities in NSCLC outcomes are lacking, and it remains unclear whether recent advances in screening and targeted therapies for NSCLC have benefited all population groups equally. Methods: Using the Surveillance, Epidemiology, and End Results 18-registry data, we evaluated trends in overall and stage-specific NSCLC incidence (2007-2018) among patients aged 55 to 79 years by sex and race and ethnicity. Overall and stage-specific 2-year cause-specific survival rates were calculated by sex and race and ethnicity. Health Disparities software calculated absolute (difference) and relative (ratio) disparity measures comparing racial and ethnic groups with the highest and lowest rates (range measures) and comparing white patients (reference group) with other groups (pairwise rate measures). Joinpoint software assessed changes in rates and disparities. Results: Both men and women experienced substantial declines in NSCLC incidence from 2007 to 2018, largely due to significant declines in the incidence of distant-stage NSCLC over the study period (p < 0.05). During the same time period, the incidence of local-stage NSCLC significantly increased among black and Hispanic women (p < 0.05) and remained stable among all other groups. Overall, 2-year cause-specific survival rates improved across most racial and ethnic groups, especially among those diagnosed in regional and distant stages. For both sexes, absolute disparities in overall and stage-specific incidence of NSCLC significantly decreased over time (p < 0.05), whereas relative disparities remained unchanged. Pairwise comparison revealed persistent disparities in NSCLC burden between black and white men. Conclusion: We found evidence of narrowing racial and ethnic disparities in NSCLC incidence over time; however, important disparities persist. More work is needed to ensure consistent and equitable access to high-quality screening, diagnosis, and treatment to reduce and eliminate cancer disparities.

Impacts of Medicaid Expansion on Stage at Cancer Diagnosis by Patient Insurance Type.

INTRODUCTION: The expansion of Medicaid under the Affordable Care Act increased access to health care for millions of low-income Americans. However, the longer-term impacts of the policy on cancer outcomes remain unknown. This study examined the impact of Medicaid expansion on early- and late-stage diagnosis for 4 common cancers (breast, cervical, colorectal, and lung) using 4 full years of postpolicy data. METHODS: Patients aged 40-64 years diagnosed with breast, cervical, colorectal, or lung cancer from 2010 to 2017 were identified using the National Cancer Database. Difference-in-difference analyses compared changes in early-stage and late-stage diagnoses among expansion states with those among nonexpansion states. Subgroup analyses explored potential effect modification by insurance type. Data analysis was performed from June to October 2021. RESULTS: The proportion of early stage diagnosis of breast (difference in difference=1.58, 95% CI=0.89, 2.27), cervical (difference in difference=3.20; 95% CI=0.44, 5.95), colorectal (difference in difference=1.98; 95% CI=1.18, 2.78), and lung (difference in difference=1.74; 95% CI=0.98, 2.50) cancers increased more in expansion states than in nonexpansion states, whereas late-stage diagnosis of colorectal (difference in difference= -2.12; 95% CI= -2.98, -1.27) and lung (difference in difference= -1.87; 95% CI= -2.89, -0.84) cancers decreased more in expansion states following implementation of the Affordable Care Act. In subgroup analyses, difference-in-difference estimates for all sites and stages (except late-stage cervical cancer) were significant and larger in magnitude among Medicaid-insured than among privately insured patients. CONCLUSIONS: Study results highlight the positive impacts of Medicaid expansion on earlier diagnosis of several cancers for which screening and early detection exist, and subgroup analyses revealed greater positive effects among Medicaid-insured patients most targeted by the policy.

Navigating financial toxicity in patients with cancer: A multidisciplinary management approach.

Approximately one-half of individuals with cancer face personal economic burdens associated with the disease and its treatment, a problem known as financial toxicity (FT). FT more frequently affects socioeconomically vulnerable individuals and leads to subsequent adverse economic and health outcomes. Whereas multilevel systemic factors at the policy, payer, and provider levels drive FT, there are also accompanying intervenable patient-level factors that exacerbate FT in the setting of clinical care delivery. The primary strategy to intervene on FT at the patient level is financial navigation. Financial navigation uses comprehensive assessment of patients' risk factors for FT, guidance toward support resources, and referrals to assist patient financial needs during cancer care. Social workers or nurse navigators most frequently lead financial navigation. Oncologists and clinical provider teams are multidisciplinary partners who can support optimal FT management in the context of their clinical roles. Oncologists and clinical provider teams can proactively assess patient concerns about the financial hardship and employment effects of disease and treatment. They can respond by streamlining clinical treatment and care delivery planning and incorporating FT concerns into comprehensive goals of care discussions and coordinated symptom and psychosocial care. By understanding how age and life stage, socioeconomic, and cultural factors modify FT trajectory, oncologists and multidisciplinary health care teams can be engaged and informative in patient-centered, tailored FT management. The case presentations in this report provide a practical context to summarize authors' recommendations for patient-level FT management, supported by a review of key supporting evidence and a discussion of challenges to mitigating FT in oncology care. CA Cancer J Clin. 2022;72:437-453.

Medicaid expansion and 2-year survival in women with gynecologic cancer: a difference-in-difference analysis.

BACKGROUND: The Affordable Care Act implemented optional Medicaid expansion starting in 2014, but the association between Medicaid expansion and gynecologic cancer survival is unknown. OBJECTIVE: To evaluate the impact of Medicaid expansion by comparing 2-year survival among gynecologic cancers before and after 2014 in states that did and did not expand Medicaid using a difference-in-difference analysis. STUDY DESIGN: We searched the National Cancer Database for women aged 40 to 64 years, diagnosed with a primary gynecologic malignancy (endometrial, ovarian, cervical, vulvar, and vaginal) between 2010 and 2016. We used a quasiexperimental difference-in-difference multivariable Cox regression analysis to compare 2-year survival between states that expanded Medicaid in January 2014 and states that did not expand Medicaid as of 2016. We performed univariable subgroup difference-in-difference Cox regression analyses on the basis of stage, income, race, ethnicity, and geographic location. Adjusted linear difference-in-difference regressions evaluated the proportion of uninsured patients on the basis of expansion status after 2014. We evaluated adjusted Kaplan-Meier curves to examine differences on the basis of study period and expansion status. RESULTS: Our sample included 169,731 women, including 78,669 (46.3%) in expansion states and 91,062 (53.7%) in nonexpansion states. There was improved 2-year survival on adjusted difference-in-difference Cox regressions for women with ovarian cancer in expansion than in nonexpansion states after 2014 (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<.001) with no differences in endometrial, cervical, vaginal, vulvar, or combined gynecologic cancer sites on the basis of expansion status. On univariable subgroup difference-in-difference Cox analyses, women with ovarian cancer with stage III-IV disease (P=.008), non-Hispanic ethnicity (P=.042), those in the South (P=.016), and women with vulvar cancer in the Northeast (P=.022), had improved 2-year survival in expansion than in nonexpansion states after 2014. In contrast, women with cervical cancer in the South (P=.018) had worse 2-year survival in expansion than in nonexpansion states after 2014. All cancer sites had lower proportions of uninsured patients in expansion than in nonexpansion states after 2014. CONCLUSION: There was a significant association between Medicaid expansion and improved 2-year survival for women with ovarian cancer in states that expanded Medicaid after 2014. Despite improved insurance coverage, racial, ethnic, and regional survival differences exist between expansion and nonexpansion states.

A Contemporary Analysis of Racial and Ethnic Disparities in Diagnosis of Early-Stage Breast Cancer and Stage-Specific Survival by Molecular Subtype.

BACKGROUND: Prior studies of breast cancer disparities have focused primarily on differences between Black and White women, yet contemporary patterns of disparity for other groups are not well understood. We examine breast cancer disparities by stage at diagnosis across nine racial and ethnic groups. METHODS: The SEER 18 registries identified 841,975 women diagnosed with breast cancer from 2000 to 2017. Joinpoint models assessed trends in diagnosis stage and survival. Multivariable logistic regression evaluated associations between race/ethnicity and diagnosis stage. Multivariable Cox models compared survival of groups by stage and molecular subtype. RESULTS: Black, American Indian, Southeast Asian, South Asian, Pacific Islander, and Hispanic women were less likely than white women to be diagnosed with early stage breast cancer. Among those diagnosed at early stage, Hispanic, American Indian, Pacific Islander and Black women were 9%, 14%, 22%, and 39% (respectively) more likely than White women to die from breast cancer, whereas Asian subgroups had lower risk of death. Among those diagnosed at late stage, Black women were 18% more likely than White counterparts to die from breast cancer, and survival disparities for Black women persisted across all subtypes and stages, (except late stage HR-/HER2-). East Asian women with early stage HR+/HER2- tumors had better survival than White women. CONCLUSIONS: Persistent disparities in early detection and survival of breast cancer demand further work to address and reduce disparities across the cancer continuum. IMPACT: Results have implications for efforts to reduce entrenched racial and ethnic disparities in breast cancer early detection and survival.

Children's Health Insurance Status and Emergency Room Utilization: An Examination of Complex Survey Data.

Since the Children's Health Insurance Program's passage into law in 1997, the program has increased in cost to over $15 billion in recent years. Emergency room usage has also increased throughout the United States, leading to nationwide issues in overcrowding and surges in service costs. This study seeks to examine emergency room utilization of children insured under Children's Health Insurance Program to determine if Children's Health Insurance Program enrollees use the emergency room more or less frequently than their privately insured counterparts. The data used in this study were from the 2017 National Health Interview Survey. SAS statistical software was used to conduct a multinomial regression assessing the relationship between insurance type (private v. Children's Health Insurance Program) and frequency of emergency room utilization over the last 12 months. The analysis results indicate no statistically significant difference between Children's Health Insurance Program insured and privately insured children in terms of frequency of emergency room utilization and suggest a need to explore other factors that more directly influence Children's Health Insurance Program costs.

Qualitative Analysis of Partnerships' Effect on Implementation of a Nationally Led Community-Based Initiative.

INTRODUCTION: The American Heart Association (AHA) was funded to implement a nationally led initiative to implement policy, systems, and environment (PSE) interventions in communities across the United States. In Cohort 1, 15 communities were tasked with working with local community partners to plan and implement initiatives. METHOD: Engaged as the evaluators, Texas A&M researchers conducted telephone interviews with project managers (employed by AHA) and community partners representing the 15 communities. Interviewees were asked questions pertaining to partnership planning and involvement in initiatives and overall perceptions of the impact of the program. Interviews were analyzed qualitatively using the Consolidated Framework for Implementation Research as the guiding framework. RESULTS: Thematic analysis revealed that partners were used in planning and implementing initiatives and felt that initiatives were successful in building community engagement. Some noted success in PSE changes, although this was not a major focus of respondents, regardless of it being a main indicator for the funder. DISCUSSION: Themes reveal several recommendations for those embarking on community-level work. Those recommendations include (1) build on existing priorities, (2) focus on incremental steps that build toward the bigger goal, (3) use national organizations to move more quickly, and (4) leverage resources through collaborative efforts.

Evaluation of Community-Based Policy, Systems, and Environment Interventions Targeting the Vending Machines.

The American Heart Association conducted policy, systems, and environmental (PSE) focused interventions to increase healthy vending in 8 communities. PSE interventions were assessed using the Nutrition Environment Measures Survey Vending Assessment to see changes in the food environment. Baseline and follow-up assessments were conducted with 3 settings and a total of 19 machines. PSE changes resulted in increased availability of healthy options and decreased unhealthy options. Implementation of PSE interventions targeting the food environment can be an effective method of providing increased access to healthy foods and beverages with the goal of increasing consumption to decrease chronic diseases.