Authors: Christopher R Pallas, Danielle Boselli, Madison Kuch, Brittany Neelands, Daniel R. Carrizosa
Published: 2022-06-06
DOI: 10.1200/jco.2022.40.16_suppl.e18545
Source: Full article
e18545 Background: Health disparity in squamous cell carcinoma of the head and neck (SCCHN) is well-recognized. Privately insured SCCHN patients are observed to have better outcomes, but underlying factors are poorly understood. Oncology nurse navigators (ONN) are a well-established role focused on optimizing cancer care and patient experience. The effects of ONN on bridging health disparities have not been demonstrated. We sought to characterize health and outcome disparities in patients diagnosed with oropharyngeal cancers and to assess if the implementation of ONN bridges gaps in health disparities. Methods: Patients aged >18 diagnosed with node positive, non-metastatic oropharyngeal cancers at a large hybrid academic-community cancer center between June 2018 and September 2021 were analyzed retrospectively. Baseline demographic, socioeconomic and clinicopathologic factors including the frequency and percentage of patients receiving ONN were summarized. Clinical outcomes were assessed as a function of baseline factors and ONN. Overall survival (OS) and progression free survival (PFS) were evaluated with Kaplan Meier methods. Results: 184 patients were evaluated. Median age at diagnosis 62 (range 33-91). Median follow-up 24 months. The majority were HPV+ (73%). Navigation received in 64%. More males presented with cN1+ disease than females (57% v. 37%; p = 0.053). More Black patients presented with cN1+ disease than White patients (76% v. 50%; p = 0.017). More privately insured patients (92%) went to imaging after definitive treatment versus those with Medicaid (MD)/Self-pay (SP) (78%) or Medicare (MC)/Veteran’s affairs (VA) (78%) (p = 0.043), while more navigated patients went to imaging after definitive treatment than non-navigated patients (70% v. 40%; p = 0.003). Univariate modeling indicated clinical nodal stage, HPV status, race, and insurance status were associated with OS and PFS. In multivariable modeling adjusted for age, nodal stage, and HPV status, there was a disparity in OS associated with insurance type (MD/SP v. Private: HR 9.24, 95% CI = 2.34 to 36.41 and MC/VA; p = 0.004). There was a significant interaction of navigation and insurance type (p = 0.0157). In those not navigated, a difference in hazards exists between MD/SP or MC/VA compared with private insurance. This difference was not detected in those navigated. Similar interaction of navigation and insurance was noted in the analysis of PFS. Conclusions: We observed a disparity in patients with non-private insurance having an inferior PFS, OS and reduced rates of imaging after definitive treatment. An improved rate of post-treatment imaging was significantly associated with ONN. There was a trend towards benefit in outcomes for those receiving ONN but without private insurance suggesting that ONN may help mitigate disparities in the non-private insurance groups.