Racial/Ethnic Disparities in Lung Cancer Surgery Outcomes in the USA

Background/Objectives: Sparse data exist identifying racial/ethnic outcome disparities among patients with lung cancer, specifically regarding healthcare utilization patterns, such as emergency department visits and outpatient follow-ups. We aimed to utilize our large, multicenter, and ethnically diverse integrated health system to assess for such disparities among patients undergoing pulmonary resections for lung cancer. Methods: The cohort comprised all patients undergoing pulmonary resections for lung cancer at our integrated health system from 1 January 2016 to 31 December 2020. Outcomes including the length of stay (LOS), 30-day return to the emergency department (30d-ED), 30-day readmission, 30- and 90-day outpatient appointments, and 30- and 90-day overall mortality were compared by race/ethnicity. Multivariable logistic and linear models adjusted for age, sex, body mass index (BMI), Charlson Comorbidity Index scores, procedure approach, neighborhood deprivation index (NDI), cancer stage, receipt of adjuvant chemotherapy, and insurance. Results: Of the 645 included patients, non-Hispanic White patients tended to be older and live in the least deprived neighborhoods. Among each race/ethnicity, the percentage of patients insured by Medicaid was highest among Asian patients. On bivariate analysis, only the outcome of surgical outpatient appointments within 30 days had differing distributions by race/ethnicity with no other significant associations between race/ethnicity and other outcomes; however, multivariable analysis showed Asian patients having lower odds of 30d-ED (adjusted odds ratio 0.51; 95% CI 0.27-0.98) while those with Medicaid insurance had higher odds of 30d-ED (adjusted odds ratio 3.29; 95% CI 1.26-8.59). Conclusions: Despite parity across clinical outcomes, some patient encounter-related differences still exist within our system. To better understand racial/ethnic disparities in care, systems must track such disparities in addition to clinical outcomes.