Insurance Status Effect on Laryngeal Cancer Survival: A Population Based Study

Analysis of Uveal Melanoma 5-Year Survival Rates by Medicaid Status: A Nationwide Analysis

PURPOSE

The survival outcomes of patients with primary uveal melanomas based on Medicaid status have not been previously discussed in the literature.

METHODS

The Surveillance, Epidemiology, and End Results Medicaid database were utilized to identify patients with primary uveal melanomas diagnosed between 2006 and 2013. The Kaplan-Meier method was utilized to construct 5-year survival curves in adult, non-elderly patients. Log-rank testing was used to determine differences in survival rates, and multivariate Cox proportional hazards modeling was utilized to perform adjusted survival analysis.

RESULTS

A total of 1,765 patients were included (Medicaid: 81, non-Medicaid: 1684). A total of 1683 (95.4%) were White. The average age was 51.75 years (SD = 9.5 years). Medicaid patients were more likely to be unmarried, live in a high poverty neighborhood, and live in a rural area (all p < .001). We observed no significant difference in 5-year survival rates between those enrolled in Medicaid (86.6%, 95% CI: 79.1%1-94.7%) and those not enrolled in Medicaid (85.5, 95% CI: 83.8%-87.2%) (p = .80). After controlling for socioeconomic and clinical factors, Medicaid enrollment was not associated with an increased risk of mortality compared to non-Medicaid enrollment. Age (aHR: 1.04, 95% CI: 1.02-1.06, p < .001) and tumor size >10 mm (aHR: 3.04, 95% CI: 1.49-6.21, p = .002) were associated with an increased risk of mortality.

CONCLUSION

Medicaid enrollment was not associated with worse cancer-specific 5-year survival. Further research needs to be elicited to better understand the role of Medicaid enrollment in patients with primary uveal melanoma.

Medicaid Acceptance Varies by Physician Seniority and Specialty in California

Given varied insurance acceptances and differing pay between insurances, our objective was to examine the number of California physicians enrolled in Medicare and Medicaid (Medi-Cal), stratified by specialty and graduation year. Medi-Cal and Medicare providers were extracted from publicly available databases (Centers for Medicare & Medicaid Services and California Health and Human Services) and were subsequently merged into one dataset using National Provider Identifier. From there, we stratified physicians by specialty and graduation year. We found that emergency medicine, radiology, pathology, anesthesiology, general surgery, and internal medicine had the highest percent of Medi-Cal-accepting physicians, whereas dermatology, psychiatry, physical medicine & rehabilitation, and plastic & reconstructive surgery physicians had the lowest. There also appears to be an inverse relationship between acceptance of Medi-Cal and earlier year of graduation (P < 0.05). This study demonstrated striking variability in Medi-Cal acceptance based upon physician years in practice and specialty. Older, experienced physicians, as well as physicians of certain specialties, are less likely to accept Medi-Cal.

The impact of digital inequities on laryngeal cancer disparities in the US

OBJECTIVES

To develop and implement a novel, comprehensive tool, the Digital Inequity Index (DII), that quantifiably measures modern-technology access in the US to assess the impact of digital inequity on laryngeal cancer (LC) care nationwide.

METHODS

DII was calculated based on 17 census-tract level variables derived from the American Community Survey and Federal Communications Commission. Variables were categorized as infrastructure-access (i.e., electronic device ownership, type of broadband, internet provider availability, income-broadband subscription ratio) or sociodemographic (i.e., education, income, disability status), ranked and then averaged into a composite score. 22,850 patients from 2008 to 2017 in SEER were assessed for regression trends in long-term follow-up, survival, prognosis, and treatment across increasing overall digital inequity, as measured by the DII. This methodology allows for us to assess the independent contribution of digital inequity adjusted for socioeconomic confounders.

RESULTS

With increasing overall digital inequity, length of long-term follow-up (p < 0.001) and survival (p = 0.025) decreased. Compared to LC patients with low DII, high DII was associated with increased odds of advanced preliminary staging (OR 1.06; 95 % CI 1.03-1.08), treatment with chemotherapy (OR 1.06; 95 % CI 1.04-1.08), and radiation therapy (OR 1.02; 95 % CI 1.00-1.04), as well as decreased odds of surgical resection (OR 0.96; 95 % CI 0.94-97).

CONCLUSIONS

Digital inequities are associated with detrimental trends in LC patient outcomes in the US, allowing discourse for targeted means of alleviating disparities while contextualizing national sociodemographic trends of the impact of online access on informed care.

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.

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.

Local Tumor Behavior Associated With Survival Among Patients With Paraganglioma of the Head and Neck

Objective

The purpose of this study was to evaluate the utility of ICD-O-3–classified local tumor behavior as a prognosticator of head and neck paraganglioma (HNP) outcomes.

Study Design

Retrospective cohort study.

Setting

National Cancer Database between 2004 and 2016.

Methods

This study included patients aged ≥18 years who were diagnosed with HNP. Clinical outcomes and clinicopathologic features were compared with regard to local tumor behavior.

Results

Our study included 525 patients, of which the majority had HNP classified as locally invasive (45.9%) or borderline (37.9%). The most common anatomic sites involved were the carotid body (33.7%), intracranial regions (29.0%), or cranial nerves (25.5%). Carotid body tumors were exclusively locally invasive, whereas intracranial and cranial nerve HNP were overwhelmingly benign or borderline (94% and 91%, respectively). One-fourth of patients underwent pathologic analysis of regional lymph nodes, of which the majority were positive for metastasis (80.6%). Metastasis to distant organs was twice as common in patients with locally invasive tumors vs benign (15% vs 7.1). For benign disease, surgery with radiotherapy (adjusted hazard ratio [aHR], 40.45; P = .006) and active surveillance (aHR, 24.23; P = .008) were associated with worse survival when compared with surgery alone. For locally invasive tumors, greater age (aHR, 1.07; P < .0001) and positive surgical margins (aHR, 4.13; P = .010) were predictors of worse survival, while combined surgery and radiotherapy were predictors of improved survival vs surgery alone (aHR, 0.31; P = .027).

Conclusion

While criteria for tumor behavior could not be defined, our results suggest that such a classification system could be used to enhance HNP risk stratification and guide clinical management decisions.