Ontology highlight
ABSTRACT: Objective
To evaluate whether medical event charges are associated with uninsured patients' probability of medical payment default and whether there exist racial/ethnic disparity gaps in medical payment defaults.Design
We use logistic regression models to analyse medical payment defaults. Our adjusted estimates further control for a rich set of patient and medical visit characteristics, region and time fixed effects.Setting
Uninsured US adult (non-elderly) population from 2002 to 2017.Participants
We use four nationally representative samples of uninsured patients from the Medical Expenditure Panel Survey across office-based (n=39 967), emergency (n=3269), outpatient (n=1739) and inpatient (n=340) events.Primary and secondary outcome measures
Payment
SUBMITTER: Linde S
PROVIDER: S-EPMC9125734 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature