Unknown

Dataset Information

Using risk adjustment to improve the interpretation of global inpatient pediatric antibiotic prescribing.


ABSTRACT:

Objectives

Assessment of regional pediatric last-resort antibiotic utilization patterns is hampered by potential confounding from population differences. We developed a risk-adjustment model from readily available, internationally used survey data and a simple patient classification to aid such comparisons.

Design

We investigated the association between pediatric conserve antibiotic (pCA) exposure and patient / treatment characteristics derived from global point prevalence surveys of antibiotic prescribing, and developed a risk-adjustment model using multivariable logistic regression. The performance of a simple patient classification of groups with different expected pCA exposure levels was compared to the risk model.

Setting

226 centers in 41 countries across 5 cont

SUBMITTER: Bielicki JA 

PROVIDER: S-EPMC6034826 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature