Literature DB >> 17393413

Inter-rater reliability of pressure ulcer staging: ordinal probit Bayesian hierarchical model that allows for uncertain rater response.

Byron J Gajewski1, Sara Hart, Sandra Bergquist-Beringer, Nancy Dunton.   

Abstract

This article describes a method for estimating the inter-rater reliability of pressure ulcer (PU) staging (stages I-IV) from raters in National Database of Nursing Quality Indicators (NDNQI) participating hospitals. The method models ordinal spanning data utilizing an ordinal probit Bayesian hierarchical model (BHM) across several hospitals in which raters monitor patient's PUs. An ulcer that cannot be accurately assessed because the base of the wound cannot be seen is defined as unstageable. Our novel approach allows for an unstageable PU rating to be included in the analysis. We compare the ordinal probit BHM to an approximate random-effects (standard approach in the literature) model that assumes that the raw ordinal data are continuous. Copyright 2007 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17393413     DOI: 10.1002/sim.2877

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

1.  Identifying individual changes in performance with composite quality indicators while accounting for regression to the mean.

Authors:  Byron J Gajewski; Nancy Dunton
Journal:  Med Decis Making       Date:  2012-10-03       Impact factor: 2.583

2.  Data Envelopment Analysis in the Presence of Measurement Error: Case Study from the National Database of Nursing Quality Indicators® (NDNQI®).

Authors:  Byron J Gajewski; Robert Lee; Nancy Dunton
Journal:  J Appl Stat       Date:  2012-09-18       Impact factor: 1.404

3.  Expediting Clinical and Translational Research via Bayesian Instrument Development.

Authors:  Yu Jiang; Diane K Boyle; Marjorie J Bott; Jo A Wick; Qing Yu; Byron J Gajewski
Journal:  Appl Psychol Meas       Date:  2014-06

4.  Bayesian penalized cumulative logit model for high-dimensional data with an ordinal response.

Authors:  Yiran Zhang; Kellie J Archer
Journal:  Stat Med       Date:  2020-12-18       Impact factor: 2.497

5.  Comparing dependent kappa coefficients obtained on multilevel data.

Authors:  Sophie Vanbelle
Journal:  Biom J       Date:  2017-05-02       Impact factor: 2.207

6.  Improving quality indicator report cards through Bayesian modeling.

Authors:  Byron J Gajewski; Jonathan D Mahnken; Nancy Dunton
Journal:  BMC Med Res Methodol       Date:  2008-11-18       Impact factor: 4.615

  6 in total

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