Ontology highlight
ABSTRACT: Background
There is a growing focus on improving the quality and value of health care delivery for high-cost patients. Compared to fee-for-service Medicare, less is known about the clinical composition of high-cost Medicare Advantage populations.Objective
To describe a high-cost Medicare Advantage population and identify clinically and operationally significant subgroups of patients.Design
We used a density-based clustering algorithm to group high-cost patients (top 10% of spending) according to 161 distinct demographic, clinical, and claims-based variables. We then examined rates of utilization, spending, and mortality among subgroups.Participants
Sixty-one thousand five hundred forty-six Medicare Advantage beneficiaries.Main measures
Spending, util
SUBMITTER: Powers BW
PROVIDER: S-EPMC6374249 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature