A risk-model for hospital mortality among patients with severe sepsis or septic shock based on German national administrative claims data.

ABSTRACT:

Background

Sepsis is a major cause of preventable deaths in hospitals. Feasible and valid methods for comparing quality of sepsis care between hospitals are needed. The aim of this study was to develop a risk-adjustment model suitable for comparing sepsis-related mortality between German hospitals.

Methods

We developed a risk-model using national German claims data. Since these data are available with a time-lag of 1.5 years only, the stability of the model across time was investigated. The model was derived from inpatient cases with severe sepsis or septic shock treated in 2013 using logistic regression with backward selection and generalized estimating equations to correct for clustering. It was validated among cases treated in 2015. Finally, the model development was repe

SUBMITTER: Schwarzkopf D 

PROVIDER: S-EPMC5860764 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature