Delays to surgery and worse outcomes: The compounding effects of social determinants of health in non–small cell lung cancer

To quantify the compounding effects of social determinants of health on time to surgery (T2S) and clinical outcomes.The National Cancer Database was queried for treatment-naïve patients with cT1-4N0-1M0 non-small cell lung cancer undergoing (bi)lobectomy or pneumonectomy between 2006 and 2016 with 1 to 180 days T2S, the number of days between diagnosis and surgery; surgical delays were defined as statistically significant increased T2S compared with a reference cohort. Social determinants of health factors prognostic for surgical delays were identified using multivariable regression. The 30-/90-day mortality and 5-year survival estimates were calculated using logistic and Cox regressions, respectively.In total, 110,005 patients met inclusionary criteria. Multivariable analysis identified race, insurance, and facility type as factors with significant 3-way interaction: T2S of one depended on the others. Income and education also contributed to delays. Privately insured (private) non-Hispanic White patients at academic medical centers (AMCs) were the reference with T2S of 44.1 days. At AMCs, private Black patients had significant delays to surgery (54.7 days; P < .0001), as did Medicaid and uninsured Black patients (58.5 days; P < .0001, 59.4 days; P < .0001, respectively). The 15-day surgical delays were associated with statistically significant 5% increased 30-day mortality odds (confidence interval [CI], 1.03-1.08), 6% increased 90-day mortality odds (CI, 1.04-1.08), and 4% decrease in hazard of death at 5 years (CI, 1.04-1.05).In treatment-naïve patients with cT1-4N0-1M0 non-small cell lung cancer, Black race, Medicaid, uninsured status, and AMCs generate compounding surgical delays with increased 30-/90-day mortality and decreased 5-year survival. Thoracic surgeons can leverage these facility and demographic-specific insights to standardize time to surgery and begin mitigating underlying disparities.