Additional file 1: Figure S1. Detailed list of the questions, and the original scaling, used to assess each of the six domains of health care experiences. Table S1. Logistic Regression Models for personal primary care provider domain indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Table S2. Logistic Regression Models for enhanced access to care domain indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Table S3. Logistic Regression Models for patient-provider communication domain indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Table S4. Logistic Regression Models for patient centered care domain indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Table S5. Logistic Regression Models for patient care coordination indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Table S6. Logistic Regression Models for care comprehensiveness indicators using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016. Table S7. Detailed Results from Oaxaca decomposition techniques adapted for binary outcomes using Non-Latino Whites and Black participants ages 18–64 years from the 2008–2016 Medical Expenditures Panel Survey. Medical Expenditures Panel Survey.

eTable 1 Items used to define Financial Toxicity using Medical Expenditure Panel Survey, 2016-2017
eTable 2 Alignment of items in the CSAQ used to define financial toxicity with domains of financial toxicity eTable 3.1 Parameter estimates for all predictors (including covariates) of pain in the adjusted multiple linear regression model eTable 3.2 Parameter estimates for all predictors (including covariates) of everyday physical activity limitation in the multivariable logistic regression model eTable 3.3 Parameter estimates for all predictors (including covariates) of cancer-related activity limitation outside of work in the multivariable logistic regression model eTable 3.4 Parameter estimates for all predictors (including covariates) of long-term activity limitation in the multivariable logistic regression model eTable 3.5 Parameter estimates for all predictors (including covariates) of fatigue in the multivariable logistic regression model eTable 3.6 Parameter estimates for all predictors (including covariates) of cancer-related mental task limitation in the multivariable logistic regression model eTable 3.7 Parameter estimates for all predictors (including covariates) of cancer-related mental task limitation in the multivariable logistic regression model eTable 3.8 Parameter estimates for all predictors (including covariates) of emotional problems in the multivariable logistic regression model eTable 3.9 Parameter estimates for all predictors (including covariates) of caregiver burden in the multivariable logistic regression model