Patients complete survey over 20 minutes consisting of validated and piloted items related to cost and convenience barriers in lung cancer screening, personal financial and lung cancer risk perception questions, and the Telehealth Satisfaction and Usefulness questionnaire. Patients also have their medical records reviewed retrospectively.

Complete survey

Individual-level insurance status will be analyzed for association with lung cancer screening adherence. Descriptive analyses of neighborhood factors will be conducted to characterize residential computed tomography (CT)s. Multilevel logistic regression models examining the relationship between screening adherence and each neighborhood factor (i.e., one per model for each CT) and will be adjusted for important individual-level covariates, such as patient age, sex, and smoking status. To address the dependence of the neighborhood factors on race in predicting screening adherence, the modeling results will be focused on interaction terms to examine interactions between race and neighborhood factors.

Will use generalized linear mixed effects logistic regression to model the longitudinal adherence to lung cancer screening as a function of cost-related variables, race, and their interactions. The model will be used to estimate odds ratios representing how adherence associated with financial variables depends on race at each follow-up CT scan.

Will assess convenience-related factors that may affect lung cancer screening uptake and adherence. Survey items will address technology and internet accessibility; preferred methods for patient communication; effectiveness of patient navigation; and identification of logistical barriers along each step of the screening workflow including referral, eligibility assessment, scheduling, shared decision-making (SDM) visit, low dose CT (LDCT), results review, and follow-up instructions.