Date of Award

1-1-2013

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Epidemiology and Biostatistics

Program

Biostatistics

Content Description

1 online resource (iv, 98 pages) : illustrations (some color)

Dissertation/Thesis Chair

A. Gregory DiRienzo

Committee Members

Rachel Stricof, Recai Yucel, Emily Lutterloh

Keywords

hospital-acquired infections, risk adjustment, surveillance, validation, Nosocomial infections, Cross infection

Subject Categories

Biostatistics | Epidemiology

Abstract

The objective of this dissertation is to illustrate the novel application of methods that can be used to improve the accuracy of hospital-acquired infection (HAI) rates. Public reporting of HAI rates is relatively new. New York was one of the first states to mandate reporting in acute care hospitals (2007), followed by national pay-for-reporting in 2011, and national value-based purchasing in 2013. Given the financial ramifications of public reporting, it is critical that the data are validated and adjusted for differences in underlying risk among patient populations so that hospital performance can be fairly compared. However, limited information on the quality of the HAI data and the impact of different risk adjustment strategies are available.

Share

COinS