Derivation of a risk-adjusted model to predict antibiotic prescribing among hospitalists in an academic healthcare network.

ABSTRACT:

Background

Among inpatients, peer-comparison of prescribing metrics is challenging due to variation in patient-mix and prescribing by multiple providers daily. We established risk-adjusted provider-specific antibiotic prescribing metrics to allow peer-comparisons among hospitalists.

Methods

Using clinical and billing data from inpatient encounters discharged from the Hospital Medicine Service between January 2020 through June 2021 at four acute care hospitals, we calculated bimonthly (every two months) days of therapy (DOT) for antibiotics attributed to specific providers based on patient billing dates. Ten patient-mix characteristics, including demographics, infectious disease diagnoses, and noninfectious comorbidities were considered as potential predictors of antibiotic p

SUBMITTER: Onwubiko UN 

PROVIDER: S-EPMC11474874 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature