Predictive Factors for Cancer Treatment Delay in a Racially Diverse and Socioeconomically Disadvantaged Urban...

Incremental delays in time to treatment initiation (TTI) have been shown to cause a proportional, increased independent risk of disease-specific mortality for breast cancer, colorectal cancer (CRC), head and neck cancer (HNC), non-small-cell lung cancer (NSCLC), and pancreatic cancer. Studies suggest that delays are associated with racial and socioeconomic disparities. We evaluated associations between patient factors and TTI to identify those associated with delay.

This is a retrospective cohort study at an urban community-based academic center of patients diagnosed with or referred for curative-intent treatment of breast cancer, CRC, HNC, NSCLC, and pancreatic cancer from January 2019 to December 2021. Variables of interest included Charlson Comorbidity Index (CCI) score, insurance type, language preference, and inpatient admission 30 days before diagnosis. Factors associated with TTI delay, defined as TTI ≥ 30 days, were assessed using multivariable logistic regression.

Among 2,543 patients (69% female), the mean age was 63.4 years and the median TTI was 25 days (IQR, 6-44). Within multivariable models, patients treated as outpatient and not admitted 30 days before diagnosis experienced statistically significant greater delay for CRC (odds ratio [OR], 2.82; 95% CI, 1.71 to 4.66) and NSCLC (OR, 2.11; 95% CI, 1.31 to 3.39). Higher CCI score was associated with delay for HNC (OR, 2.63; 95% CI, 1.04 to 6.66) and NSCLC (OR, 1.75; 95% CI, 1.14 to 2.71). For breast cancer, uninsured and Spanish-speaking patients (OR, 1.79; 95% CI, 1.21 to 2.67) experienced increased TTI.

Care coordination/compliance (eg, inpatient 30 days before diagnosis), clinical (eg, medical comorbidities), and socioeconomic (eg, uninsured status) predictors for delayed TTI were identified and may inform delay minimizing interventions. Our data support evidence that TTI delays are associated with demographic and socioeconomic disparities. Existing disparities are likely exacerbated by delays that disproportionately affect patients with care coordination/compliance issues, multiple comorbidities, and lower socioeconomic status.