Change in stage of presentation of head and neck cancer in the United States before and after the affordable care act

Advanced Stage Head and Neck Cancer Diagnosis: HEADSpAcE Consortium Health Systems Benchmarking Survey

BACKGROUND

Globally, most people with head and neck cancers (HNCs) are diagnosed with advanced-stage disease. HNC diagnostic stage has multifactorial explanations, with the role of health system factors not yet fully investigated.

METHODS

HNC centres (n = 18) from the HEADSpAcE Consortium were surveyed via a bespoke health system questionnaire covering a range of factors. Centres were compared using the least square means for the presence/absence of each health system factor to their proportion of advanced-stage HNC.

RESULTS

Health system factors associated with lower proportion in advanced-stage diagnosis were formal referral triaging (14%, 95% CI-0.26, -0.03), routine monitoring of time from referral to diagnosis (16%, 95% CI-0.27, -0.05), and fully publicly funded systems (17%, 95% CI-0.29, -0.06). Several health systems factors had no routinely available data.

CONCLUSIONS

Through identifying and monitoring health systems factors associated with lower proportions of advanced stage HNC, interventions could be developed, and systems redesigned, to improve early diagnosis.

Accounting for Medicaid expansion and regional policy and programs to advance equity in cancer prevention in the United States

BACKGROUND

Many studies compare state-level outcomes to estimate changes attributable to Medicaid expansion. However, it is imperative to conduct more granular, demographic-level analyses to inform current efforts on cancer prevention among low-income adults. Therefore, the authors compared the volume of patients with cancer and disease stage at diagnosis in Ohio, which expanded its Medicaid coverage in 2014, with those in Georgia, a nonexpansion state, by cancer site and health insurance status.

METHODS

The authors used state cancer registries from 2010 to 2017 to identify adults younger than 64 years who had incident female breast cancer, cervical cancer, or colorectal cancer. Multivariable Poisson regression was conducted by cancer type, health insurance, and state to examine the risk of late-stage disease, adjusting for individual-level and area-level covariates. A difference-in-differences framework was then used to estimate the differences in risks of late-stage diagnosis in Ohio versus Georgia.

RESULTS

In Ohio, the largest increase in all three cancer types was observed in the Medicaid group after Medicaid expansion. In addition, significantly reduced risks of late-stage disease were observed among patients with breast cancer on Medicaid in Ohio by approximately 7% and among patients with colorectal cancer on Medicaid in Ohio and Georgia after expansion by approximately 6%. Notably, the authors observed significantly reduced risks of late-stage diagnosis among all patients with colorectal cancer in Georgia after expansion.

CONCLUSIONS

More early stage cancers in the Medicaid-insured and/or uninsured groups after expansion suggest that the reduced cancer burden in these vulnerable population subgroups may be attributed to Medicaid expansion. Heterogeneous risks of late-stage disease by cancer type highlight the need for comprehensive evaluation frameworks, including local cancer prevention efforts and federal health policy reforms.

PLAIN LANGUAGE SUMMARY

This study looked at how Medicaid expansion affected cancer diagnosis and treatment in two states, Ohio and Georgia. The researchers found that, after Ohio expanded their Medicaid program, there were more patients with cancer among low-income adults on Medicaid. The study also found that, among people on Medicaid, there were lower rates of advanced cancer at the time of diagnosis for breast cancer and colon cancer in Ohio and for colon cancer in Georgia. These findings suggest that Medicaid expansion may be effective in reducing the cancer burden among low-income adults.

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.

Impact of the Affordable Care Act on Glaucoma Severity at First Presentation

PURPOSE

To test whether the increase in insurance coverage in Massachusetts due to the Affordable Care Act (ACA) is associated with a decrease in glaucoma severity in patients presenting for the first time at a tertiary health system.

METHODS

Clinical and billing data of first-time glaucoma patients from a tertiary health system in Massachusetts from 2006 to 2021 was used. Pre-ACA is defined as before 2014 and post-ACA is defined as after 2014. Visual field mean deviation was used to define glaucoma severity: greater than -6 dB, less than -6 dB and greater than -12 dB, and less than -12 dB was classified as "mild," "moderate," and "severe" respectively. Ordinal logistic regression models adjusted for age, race, gender, and insurance type were used to determine the odds of presenting with more severe glaucoma.

RESULTS

2,394 pre-ACA and 3,651 post-ACA first-time glaucoma patients were identified. There was no significant difference in the likelihood of more severe glaucoma at first presentation post-ACA compared to pre-ACA (OR=0.96; 95% CI 0.86-1.08; p=0.49) among the entire population. In stratified analyses, patients who utilized Medicaid for insurance had 52% decreased odds for presenting with more severe glaucoma at first presentation post-ACA compared to pre-ACA (OR=0.48; 95% CI 0.33-0.69; p<0.001). This remained significant after adjustment for age, race, and gender (adjusted OR=0.44; 95% CI 0.29-0.65; p<0.001).

CONCLUSION

At a Massachusetts-based tertiary healthcare center, individuals on Medicaid were more likely to have more severe glaucoma at first presentation before the implementation of the ACA, compared to after.

Post-Affordable Care Act Improvements in Cancer Stage Among Ohio Medicaid Beneficiaries Resulted From an Increase in Stable Coverage

BACKGROUND

The mechanisms underlying improvements in early-stage cancer at diagnosis following Medicaid expansion remain unknown. We hypothesized that Medicaid expansion allowed for low-income adults to enroll in Medicaid before cancer diagnosis, thus increasing the number of stably-enrolled relative to those who enroll in Medicaid only after diagnosis (emergently-enrolled).

METHODS

Using data from the 2011-2017 Ohio Cancer Incidence Surveillance System and Medicaid enrollment files, we identified individuals diagnosed with incident invasive breast (n=4850), cervical (n=1023), and colorectal (n=3363) cancer. We conducted causal mediation analysis to estimate the direct effect of pre- (vs. post-) expansion on being diagnosed with early-stage (-vs. regional-stage and distant-stage) disease, and indirect (mediation) effect through being in the stably- (vs. emergently-) enrolled group, controlling for individual-level and area-level characteristics.

RESULTS

The percentage of stably-enrolled patients increased from 63.3% to 73.9% post-expansion, while that of the emergently-enrolled decreased from 36.7% to 26.1%. The percentage of patients with early-stage diagnosis remained 1.3-2.9 times higher among the stably-than the emergently-enrolled group, both pre-expansion and post-expansion. Results from the causal mediation analysis showed that there was an indirect effect of Medicaid expansion through being in the stably- (vs. emergently-) enrolled group [risk ratios with 95% confidence interval: 1.018 (1.010-1.027) for breast cancer, 1.115 (1.064-1.167) for cervical cancer, and 1.090 (1.062-1.118) for colorectal cancer.

CONCLUSION

We provide the first evidence that post-expansion improvements in cancer stage were caused by an increased reliance on Medicaid as a source of stable insurance coverage.

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.