Ontology highlight
ABSTRACT: Objective
To provide a method for any hospital to evaluate patient mortality using a hierarchical risk-adjustment equation derived from a reference sample.Data source
American College of Surgeons National Trauma Data Bank (NTDB).Study design
Hierarchical logistic regression models predicting mortality were estimated from NTDB data. Risk-adjusted hospital effects obtained directly from models using standard software were compared with approximations derived from a summary equation and data from each individual hospital.Principal findings
Theoretical approximations were similar to results using standard software.Conclusions
To allow independent verification, agencies using reference databases for hospital mortality "report cards" should publish their risk-adjustment equations. Similar hospitals not in the reference database may also use the published equations along with the approximations described to evaluate their own outcomes using their own data.
SUBMITTER: Clark DE
PROVIDER: S-EPMC2838162 | biostudies-literature | 2010 Apr
REPOSITORIES: biostudies-literature
Clark David E DE Hannan Edward L EL Raudenbush Stephen W SW
Health services research 20100108 2
<h4>Objective</h4>To provide a method for any hospital to evaluate patient mortality using a hierarchical risk-adjustment equation derived from a reference sample.<h4>Data source</h4>American College of Surgeons National Trauma Data Bank (NTDB).<h4>Study design</h4>Hierarchical logistic regression models predicting mortality were estimated from NTDB data. Risk-adjusted hospital effects obtained directly from models using standard software were compared with approximations derived from a summary ...[more]