Ontology highlight
ABSTRACT: Objective
To produce comparable risk-adjusted outcome rates for an international sample of hospitals in a collaborative project to share outcomes and learning.Data sources
Administrative data varying in scope, format, and coding systems were pooled from each participating hospital for the years 2005-2010.Study design
Following reconciliation of the different coding systems in the various countries, in-hospital mortality, unplanned readmission within 30 days, and "prolonged" hospital stay (>75th percentile) were risk-adjusted via logistic regression. A web-based interface was created to facilitate outcomes analysis for individual medical centers and enable peer comparisons. Small groups of clinicians are now exploring the potential reasons for variations in outcomes
SUBMITTER: Bottle A
PROVIDER: S-EPMC3876394 | biostudies-literature | 2013 Dec
REPOSITORIES: biostudies-literature