Ontology highlight
ABSTRACT: Introduction
The Coronavirus 2019 (COVID-19) pandemic disrupted medical care delivery for cerebrovascular disease. Little is known about the long-term changes in health care utilization and mortality among people who suffered cerebrovascular events.Methods
We used 2018-2022 data to identify all Medicare fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries with a diagnosis code for an acute cerebrovascular event (stroke, transient ischemic attack, hemorrhage). We used Poisson-lognormal regression models with an offset term (beneficiary years) to model incident rate ratios (IRR) for late-COVID (2021-2022) versus pre-COVID (2018-2019) for outpatient visits, emergency department (ED) visits, hospitalizations, and mortality in the year following the index event, adjus
SUBMITTER: Laurido-Soto OJ
PROVIDER: S-EPMC12863423 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature