Assessing Hospital Resource Utilization with Application to Imaging for Patients Diagnosed with Prostate Cancer.

ABSTRACT: Resource utilization measures are typically modeled by relying on clinical characteristics. However, in some settings, those clinical markers are not available, and hospitals are unable to explore potential inefficiencies or resource misutilization. We propose a novel approach to exploring misutilization that solely relies on administrative data in the form of patient characteristics and competing resource utilization, with the latter being a novel addition. We demonstrate this approach in a 2019 patient cohort diagnosed with prostate cancer (n = 51,111) across 1056 U.S. healthcare facilities using Premier, Inc.'s (Charlotte, NC, USA) all payor databases. A multivariate logistic regression model was fitted using administrative information and competing resources utilization. A decision cur

SUBMITTER: Lunn Y 

PROVIDER: S-EPMC8872431 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature