Aim 1 analyses
cancer type
The unit of analysis is the patient encounter. We will summarize patient characteristics (e.g., sex, age, cancer type and stage, insurance status) by intervention status (pre-E2C2, E2C2) of the encounter. All patient encounters will be analyzed on an intention-to-treat status; this principle will be extended to the cluster status, so that delays in the implementation of an intervention will not affect the intervention status of patients.We will include a common set of variables in all models testing the effectiveness of the intervention. Variables capturing cancer type, stage, and treatment status will be included, as well as 6 variables selected as likely to impact the use of the portal and completion of the surveys: from the EHR, we will capture age (categorized into 10-year increments), sex (male or female), and severity of illness (Elixhauser score as a categorical variable). We will also link the patient 9-digit zip code to Census data to get estimates of educational level, income, and broadband access, which will be categorized into quartiles.