Ontology highlight
ABSTRACT: Background
High out-of-pocket (OOP) expenditure and inadequate insurance coverage may adversely affect cancer survivors. We aimed to characterize the extent and correlates of healthcare utilization, OOP expenditures, and underinsurance among insured cancer survivors.Methods
We used 2011-2015 Medical Expenditure Panel Survey data to identify a nationally representative sample of insured non-elderly adult (age 18-64 years) cancer survivors. We used negative binomial, two-part (logistic and Generalized Linear Model with log link and gamma distribution), and logistic regression models to quantify healthcare utilization, OOP expenditures, and underinsurance, respectively, and identified sociodemographic correlates for each outcome.Results
We identified 2738 insured non-e
SUBMITTER: Karim MA
PROVIDER: S-EPMC8366084 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature