The Affordable Care Act: Implications for underserved populations with head & neck cancer

Explicit inference: A meta-replication of SEER cancer registry research evaluating the Affordable Care Act's Medicaid expansion

OBJECTIVES

Among the provisions within the Affordable Care Act (ACA), expanding Medicaid was arguably the greatest contributor to increasing access to care. For over a decade, researchers have investigated how Medicaid expansion impacted cancer outcomes. Over this same decade, statistical theory illuminated how state-based policy research could be compromised by invalid inference. After reviewing the literature to identify the inference strategies of state-based cancer registry Medicaid expansion research, this study aimed to assess how inference decisions could change the interpretation of Medicaid expansion's impact on staging, treatment, and mortality in cancer patients.

DATA SOURCES

Cancer case data (2000-2019) was obtained from the Surveillance, Epidemiology, End Results (SEER) programme. Cases included all cancer sites combined, top 10 cancer sites combined, and three screening amenable cancers (colorectal, female breast, female cervical).

STUDY DESIGN

A Difference-in-Differences design estimated the association between Medicaid expansion and four binary outcomes: distant stage, initiating treatment >1 month after diagnosis, no surgery recommendation, and death. Three inference techniques were compared: (1) traditional, (2) cluster, and (3) Wild Cluster Bootstrap.

DATA COLLECTION

Data was accessed via SEER*Stat.

PRINCIPAL FINDINGS

Estimating standard errors via traditional inference would suggest that Medicaid expansion was associated with delayed treatment initiation and surgery recommendations. Traditional and clustered inference also suggested that Medicaid expansion reduced mortality. Inference using Wild Cluster Bootstrap techniques never rejected the null hypotheses.

CONCLUSIONS

This study reiterates the importance of explicit inference. Future state-based, cancer policy research can be improved by incorporating emerging techniques. These findings warrant caution when interpreting prior SEER research reporting significant effects of Medicaid expansion on cancer outcomes, especially studies that did not explicitly define their inference strategy.

Influence of Medicaid Expansion on Head and Neck Squamous Cell Carcinoma Presentation and Survival

OBJECTIVE

To compare head and neck squamous cell carcinoma stage at presentation and survival in Medicaid-expanded states versus nonexpanded states.

STUDY DESIGN

Retrospective cohort.

SETTING

Northwestern University Feinberg School of Medicine.

METHODS

The Head and Neck with human papillomavirus Status Database within the Surveillance, Epidemiology, and End Results (SEER) Program was queried for cases of head and neck squamous cell carcinoma (HNSCC) diagnosed in the years 2010 to 2016. Cases were grouped according to their respective state Medicaid expansion status. Multivariable logistic regressions and multivariable Cox proportional hazards models were used to evaluate associations with stage IV disease and survival.

RESULTS

Compared to nonexpanded states, Medicaid-expanded states had a significantly larger proportion of Medicaid patients (20.3% vs 16.7%, P = .0009) and a significantly smaller proportion of uninsured patients (1.7% vs 10.1%, P < .0001). The case selection process resulted in 2215 patients meeting inclusion criteria. In multivariable analysis, cases under Medicaid expansion were 31% less likely to present with stage IV disease compared to cases in nonexpanded states (odds ratio: 0.69, 95% confidence interval [CI]: 0.51-0.93). In the multivariable Cox proportional hazards model, cases under Medicaid expansion had significantly better mortality outcomes and were 32% less likely to die compared to cases in nonexpanded states (hazard ratio: 0.68, 95% CI: 0.55-0.84).

CONCLUSION

Medicaid expansion is associated with fewer stage IV cases and improved survival of HNSCC cases. These findings support continued efforts to expand Medicaid coverage.

Examining the effect of Medicaid expansion on early detection of head and neck cancer of the oral cavity and pharynx by HPV-type and generosity of dental benefits

BACKGROUND

Over a decade of evidence supports the claim that increased access to insurance through Medicaid expansions improves early detection of cancer. Yet, evidence linking Medicaid expansions to early detection of head and neck cancers (HNC) of the oral cavity and pharynx, specifically, may be limited by the lack of attention to Human Papillomavirus (HPV) etiology, generosity of dental coverage, and valid inference analyzing state cancer registry data.

AIMS

This study reexamined the effect of Medicaid expansion on early detection of HPV+/- HNC in states offering extensive dental benefits.

MATERIALS AND METHODS

Specialized data from the Surveillance, Epidemiology, and End Results (SEER) program was analyzed to account for, previously unmeasurable, differential detection patterns of HNCs associated with HPV. Then, to identify the effect of increasing Medicaid eligibility on staging patterns in states offering extensive benefits amidst potentially non-common trends between states, a "Triple Differences" design identifies the differential effect of Medicaid Expansion (with dental coverage) on HPV-negative HNCs relative to the change in HPV-positive HNCs. For valid inference analyzing a small number of state clusters (12) in cancer registry data, each regression model applies a Wild Cluster Bootstrap.

RESULTS

Expanding Medicaid eligibility was found to be associated with a decrease in the proportion of distant-stage diagnoses of HPV(-) HNCs, but only among states which increased Medicaid dental generosity at the time of Medicaid expansion.

CONCLUSIONS

These results suggest that adding extensive Medicaid dental benefits was the primary mechanism impacting HNC detection. This study highlights the potential positive spillover effects of policies which increase access to public dental coverage for low-income adults, while also showing the limitation of access to dental services for improving early detection of HPV+ HNCs.

Oral cancer patients achieve comparable survival at high safety-net burden hospitals

PURPOSE

To evaluate the impact of hospital safety-net burden and social demographics on the overall survival of patients with oral cavity squamous cell carcinoma.

MATERIALS AND METHODS

We identified 48,176 oral cancer patients diagnosed between the years 2004 to 2015 from the National Cancer Database and categorized treatment facilities as no, low, or high safety-net burden hospitals based on the percentage of uninsured or Medicaid patients treated. Using the Kaplan Meier method and multivariate analysis, we examined the effect of hospital safety-net burden, sociodemographic variables, and clinical factors on overall survival.

RESULTS

Of the 1269 treatment facilities assessed, the median percentage of uninsured/Medicaid patients treated was 0% at no, 11.6% at low, and 23.5% at high safety-net burden hospitals and median survival was 68.6, 74.8, and 55.0 months, respectively (p < 0.0001). High safety-net burden hospitals treated more non-white populations (15.4%), lower median household income (<$30,000) (23.2%), and advanced stage cancers (AJCC III/IV) (54.6%). Patients treated at low (aHR = 0.97; 95% CI = 0.91-1.04, p = 0.405) and high (aHR = 1.05; 95% CI = 0.98-1.13, p = 0.175) safety-net burden hospitals did not experience worse survival outcomes compared to patients treated at no safety-net burden hospitals.

CONCLUSION

High safety-net burden hospitals treated more oral cancer patients of lower socioeconomic status and advanced disease. Multivariate analysis showed high safety-net burden hospitals achieved comparable patient survival to lower burden hospitals.

Targets for improving disparate head and neck cancer outcomes in the low-income population

Low-income patients have worse head and neck cancer outcomes than those with high-income. Yet, few targets have been identified to specifically improve outcomes in the low-income population. Here, we conduct a review on the current literature on head and neck cancer outcomes in the low-income population and identify targets for intervention. The degree of disparity is in the range of 20%-90% worse overall survival in the low-income population. Eliminating smoking would have the greatest effect on head and neck cancer mortality rates in the low-income population. Additionally, access to oral cancer exams, assistance with transportation, and continued expansion of telemedicine would facilitate early diagnosis and timely treatment in patients who develop head and neck cancer.

Insurance status and risk of suicide mortality among patients with cancer: a retrospective study based on the SEER database

OBJECTIVE

Given that the presence of insurance may affect the risk of suicide mortality in cancer patients, we aimed to examine the association in a population-based study using the Surveillance, Epidemiologic, and End Results (SEER) database.

STUDY DESIGN

A retrospective analysis of data from the SEER database.

METHODS

We conducted a retrospective study using the SEER database. Hazard ratios (HRs), adjusted HRs (aHRs), and 95% confidence intervals (95% CIs) of suicide death were calculated using Cox proportional hazard models to evaluate the risk of suicide mortality among the cohorts.

RESULTS

Multivariable analysis revealed that cancer patients without insurance had an increased risk of suicide death compared with patients with private insurance (aHR, 1.37; 95% CI, 1.01-1.72), whereas no significant result was observed in patients with any Medicaid (aHR, 1.10; 95% CI, 0.93-1.30; P = 0.27). In addition, the stratified analysis indicated that the risk of suicide death in patients in the uninsured and Medicaid groups presented with localized stage of disease (aHR, 1.32; 95% CI, 1.02, 1.69), White (aHR, 1.34; 95% CI, 1.05, 1.71), and American Indian/Alaska Native and Asian/Pacific Islander (aHR, 1.89; 95% CI, 1.08, 3.30) were greater than insured patients.

CONCLUSION

Overall, our results indicated that insurance status was a statistically significant predictor of suicide death in patients with cancer. Healthcare providers should identify those patients at high risk of suicide and provide appropriate mental health and psychosocial oncology services in time.

Racial and Ethnic Disparities in Laryngeal Cancer Care

There is a long history of racial and ethnic disparities in healthcare and they continue to persist in contemporary society. These disparities have the potential to negatively affect morbidity and mortality in racial and ethnic minorities diagnosed with laryngeal cancer. Diagnosis, medical treatment, and rehabilitation for laryngeal cancer have improved considerably, leading to improvements in overall survival rates and physical, social, and psychological functioning. Yet members of minority and underrepresented groups are at an increased risk for experiencing reduced access to quality care and delays between diagnosis and treatment, and as a result have lower survival rates. Increasing health providers' awareness of racial and ethnic disparities in laryngeal cancer is necessary to facilitate changes in patient and provider education, clinical practice, and health policies. The purpose of this review is to summarize current literature on disparities in laryngeal cancer diagnosis, treatment, and rehabilitation among Black and Hispanic patients. We present recent data from the Surveillance, Epidemiology, and End Results database to examine trends in laryngeal cancer and patient, provider, and health systems factors that may perpetuate these disparities. In addition, we offer interventions to address racism and other racial and ethnic biases in laryngeal cancer care and describe research and legislative actions that are needed to reduce disparities in this area.