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Activity Number: 202
Type: Contributed
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305347
Title: Inter-Rater Reliability of Pressure Ulcer Staging: Ordinal Probit Bayesian Hierarchical Model That Allows for Uncertain Rater Response
Author(s): Byron Gajewski*+ and Sara Hart and Sandra Bergquist-Beringer and Nancy Dunton
Companies: The University of Kansas Medical Center and The University of Kansas Medical Center and The University of Kansas Medical Center and The University of Kansas Medical Center
Address: 3901 Rainbow Blvd., Kansas City, KS, 66160,
Keywords: Markov chain Monte Carlo ; random effects model ; intraclass correlation coefficient ; NDNQI
Abstract:

This article describes a method for estimating the inter-rater reliability of pressure ulcer staging from raters in National Database of Nursing Quality Indicators participating hospitals. The method models ordinal spanning data using an ordinal probit Bayesian hierarchical model across several hospitals in which raters monitor patient pressure ulcers. This novel approach allows for an "unstageable" pressure ulcer rating. We compare the ordinal probit Bayesian hierarchical model to an approximate random effects model that assumes the raw ordinal data are continuous.

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